Quant for 3.5

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -9,69 +9,127 @@ model-index:
 - name: princeton-nlp/gemma-2-9b-it-SimPO 
   results: []
 license: mit
-quantized_by: bartowski
-pipeline_tag: text-generation
 ---
 
-## Exllama v2 Quantizations of gemma-2-9b-it-SimPO
+# gemma-2-9b-it-SimPO Model Card
 
-Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.1.8">turboderp's ExLlamaV2 v0.1.8</a> for quantization.
+SimPO (Simple Preference Optimization) is an offline preference optimization algorithm designed to enhance the training of large language models (LLMs) with preference optimization datasets. SimPO aligns the reward function with the generation likelihood, eliminating the need for a reference model and incorporating a target reward margin to boost performance. Please refer to our [preprint](https://arxiv.org/pdf/2405.14734) and [github repo](https://github.com/princeton-nlp/SimPO) for more details.
 
-<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
 
-Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
+## Model Details
 
-Original model: https://huggingface.co/princeton-nlp/gemma-2-9b-it-SimPO
+### Model Description
 
-## Prompt format
+We fine-tuned [google/gemma-2-9b-it](https://huggingface.co/google/gemma-2-9b-it) on [princeton-nlp/gemma2-ultrafeedback-armorm](https://huggingface.co/datasets/princeton-nlp/gemma2-ultrafeedback-armorm) with the SimPO objective.
 
-```
-<bos><start_of_turn>user
-{system_prompt}
+- **Developed by:** Yu Meng, Mengzhou Xia, Danqi Chen
+- **Model type:** Causal Language Model
+- **License:** gemma
+- **Finetuned from model:** [google/gemma-2-9b-it](https://huggingface.co/google/gemma-2-9b-it)
+
+### Model Sources
+
+<!-- Provide the basic links for the model. -->
 
-{prompt}<end_of_turn>
-<start_of_turn>model
-<end_of_turn>
-<start_of_turn>model
+- **Repository:** https://github.com/princeton-nlp/SimPO
+- **Paper:** https://arxiv.org/pdf/2405.14734
 
+
+## How to Get Started with the Model
+```
+import torch
+from transformers import pipeline
+
+model_id = "princeton-nlp/gemma-2-9b-it-SimPO"
+
+generator = pipeline(
+    "text-generation",
+    model=model_id,
+    model_kwargs={"torch_dtype": torch.bfloat16},
+    device="cuda",
+)
+outputs = generator([{"role": "user", "content": "What's the difference between llamas and alpacas?"}], do_sample=False, max_new_tokens=200)
+print(outputs[0]['generated_text'])
 ```
 
-## Available sizes
+## Training Details
 
-| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description |
-| ----- | ---- | ------- | ------ | ------ | ------ | ------------ |
-| [8_0](https://huggingface.co/bartowski/gemma-2-9b-it-SimPO-exl2/tree/8_0) | 8.0 | 8.0 | 11.9 GB | 15.9 GB | 21.3 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
-| [6_5](https://huggingface.co/bartowski/gemma-2-9b-it-SimPO-exl2/tree/6_5) | 6.5 | 8.0 | 10.4 GB | 14.4 GB | 19.8 GB | Very similar to 8.0, good tradeoff of size vs performance, **recommended**. |
-| [5_0](https://huggingface.co/bartowski/gemma-2-9b-it-SimPO-exl2/tree/5_0) | 5.0 | 6.0 | 8.6 GB | 12.6 GB | 18.0 GB | Slightly lower quality vs 6.5, but usable on 8GB cards. |
-| [4_25](https://huggingface.co/bartowski/gemma-2-9b-it-SimPO-exl2/tree/4_25) | 4.25 | 6.0 | 7.9 GB | 11.9 GB | 17.3 GB | GPTQ equivalent bits per weight, slightly higher quality. |
-| [3_5](https://huggingface.co/bartowski/gemma-2-9b-it-SimPO-exl2/tree/3_5) | 3.5 | 6.0 | 7.1 GB | 11.1 GB | 16.9 GB | Lower quality, only use if you have to. |
+### Training Data
 
-## Download instructions
+We use [princeton-nlp/gemma2-ultrafeedback-armorm](https://huggingface.co/datasets/princeton-nlp/gemma2-ultrafeedback-armorm) as the preference optimization dataset.
 
-With git:
+#### Training Hyperparameters
 
-```shell
-git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/gemma-2-9b-it-SimPO-exl2 gemma-2-9b-it-SimPO-exl2-6_5
-```
+The hyperparameters used can be found in the [training script](https://github.com/princeton-nlp/SimPO/blob/main/training_configs/gemma-2-9b-it-simpo.yaml).
 
-With huggingface hub (credit to TheBloke for instructions):
+#### Speeds, Sizes, Times
+
+Fine-tuning the [google/gemma-2-9b-it](https://huggingface.co/google/gemma-2-9b-it) on [princeton-nlp/gemma2-ultrafeedback-armorm](https://huggingface.co/datasets/princeton-nlp/gemma2-ultrafeedback-armorm) takes around 100 mins to finish on 8xH100 GPUs.
+
+## Evaluation Results
+
+
+|               models                    | AE2 LC | AE2 WR | AE2 Length |  AH  | AH Length |  GSM | GSM Length | MMLU | MMLU Length |
+|-----------------------------------|:------:|:------:|:----------:|:----:|:---------:|:----:|:----------:|:----:|:-----------:|
+|        [google/gemma-2-9b-it](https://huggingface.co/google/gemma-2-9b-it)       |  51.1  |  38.1  |    1571    | 40.8 |    545    | 87.4 |     395    | 72.7 |     515     |
+|  [princeton-nlp/gemma-2-9b-it-DPO](https://huggingface.co/princeton-nlp/gemma-2-9b-it-DPO)  |  67.8  |  65.4  |    2016    | 58.9 |    717    | 88.5 |     392    | 72.2 |     624     |
+| [princeton-nlp/gemma-2-9b-it-SimPO](https://huggingface.co/princeton-nlp/gemma-2-9b-it-SimPO) |  72.4  |  65.9  |    1833    | 59.1 |    693    | 88.0 |     341    | 72.2 |     441     |
 
-```shell
-pip3 install huggingface-hub
-```
 
-To download a specific branch, use the `--revision` parameter. For example, to download the 6.5 bpw branch:
+## Technical Specifications
 
-Linux:
+### Model Architecture and Objective
 
-```shell
-huggingface-cli download bartowski/gemma-2-9b-it-SimPO-exl2 --revision 6_5 --local-dir gemma-2-9b-it-SimPO-exl2-6_5
+The model architecture is based on [google/gemma-2-9b-it](https://huggingface.co/google/gemma-2-9b-it). We use the SimPO training objective proposed in our [preprint](https://arxiv.org/pdf/2405.14734).
+
+#### Hardware
+
+We used 8xH100 GPUs for model training.
+
+#### Software
+
+Training was done using the [alignment-handbook](https://github.com/huggingface/alignment-handbook) library.
+
+## Citation
+
+gemma model:
+```
+@article{gemma_2024,
+    title={Gemma},
+    url={https://www.kaggle.com/m/3301},
+    DOI={10.34740/KAGGLE/M/3301},
+    publisher={Kaggle},
+    author={Gemma Team},
+    year={2024}
+}
 ```
 
-Windows (which apparently doesn't like _ in folders sometimes?):
+SimPO paper:
+```
+@article{meng2024simpo,
+  title={{SimPO}: Simple preference optimization with a reference-free reward},
+  author={Meng, Yu and Xia, Mengzhou and Chen, Danqi},
+  journal={arXiv preprint arXiv:2405.14734},
+  year={2024}
+}
+```
 
-```shell
-huggingface-cli download bartowski/gemma-2-9b-it-SimPO-exl2 --revision 6_5 --local-dir gemma-2-9b-it-SimPO-exl2-6.5
+UltraFeedback paper:
+```
+@article{cui2023ultrafeedback,
+  title={{UltraFeedback}: Boosting language models with high-quality feedback},
+  author={Cui, Ganqu and Yuan, Lifan and Ding, Ning and Yao, Guanming and Zhu, Wei and Ni, Yuan and Xie, Guotong and Liu, Zhiyuan and Sun, Maosong},
+  journal={arXiv preprint arXiv:2310.01377},
+  year={2023}
+}
 ```
 
-Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski
+ArmoRM paper:
+```
+@article{wang2024interpretable,
+  title={Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts},
+  author={Wang, Haoxiang and Xiong, Wei and Xie, Tengyang and Zhao, Han and Zhang, Tong},
+  journal={arXiv preprint arXiv:2406.12845},
+  year={2024}
+}
+```

all_results.json

@@ -0,0 +1,22 @@
+{
+    "epoch": 0.9989258861439313,
+    "eval_logits/chosen": -13.382477760314941,
+    "eval_logits/rejected": -13.246561050415039,
+    "eval_logps/chosen": -1.8618243932724,
+    "eval_logps/rejected": -2.3445940017700195,
+    "eval_loss": 2.7497549057006836,
+    "eval_rewards/accuracies": 0.7581967115402222,
+    "eval_rewards/chosen": -18.618242263793945,
+    "eval_rewards/margins": 4.82769775390625,
+    "eval_rewards/rejected": -23.445940017700195,
+    "eval_runtime": 69.1462,
+    "eval_samples": 1941,
+    "eval_samples_per_second": 28.071,
+    "eval_steps_per_second": 0.882,
+    "total_flos": 0.0,
+    "train_loss": 3.5518602760889197,
+    "train_runtime": 6148.2375,
+    "train_samples": 59569,
+    "train_samples_per_second": 9.689,
+    "train_steps_per_second": 0.076
+}

config.json

@@ -0,0 +1,45 @@
+{
+    "_name_or_path": "princeton-nlp/gemma-2-9b-it-SimPO",
+    "architectures": [
+        "Gemma2ForCausalLM"
+    ],
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "attn_logit_softcapping": 50.0,
+    "bos_token_id": 2,
+    "cache_implementation": "hybrid",
+    "eos_token_id": 1,
+    "final_logit_softcapping": 30.0,
+    "head_dim": 256,
+    "hidden_act": "gelu_pytorch_tanh",
+    "hidden_activation": "gelu_pytorch_tanh",
+    "hidden_size": 3584,
+    "initializer_range": 0.02,
+    "intermediate_size": 14336,
+    "max_position_embeddings": 8192,
+    "model_type": "gemma2",
+    "num_attention_heads": 16,
+    "num_hidden_layers": 42,
+    "num_key_value_heads": 8,
+    "pad_token_id": 0,
+    "query_pre_attn_scalar": 256,
+    "rms_norm_eps": 1e-06,
+    "rope_theta": 10000.0,
+    "sliding_window": 4096,
+    "sliding_window_size": 4096,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.42.4",
+    "use_cache": true,
+    "vocab_size": 256000,
+    "quantization_config": {
+        "quant_method": "exl2",
+        "version": "0.1.8",
+        "bits": 3.5,
+        "head_bits": 6,
+        "calibration": {
+            "rows": 115,
+            "length": 2048,
+            "dataset": "(default)"
+        }
+    }
+}

eval_results.json

@@ -0,0 +1,16 @@
+{
+    "epoch": 0.9989258861439313,
+    "eval_logits/chosen": -13.382477760314941,
+    "eval_logits/rejected": -13.246561050415039,
+    "eval_logps/chosen": -1.8618243932724,
+    "eval_logps/rejected": -2.3445940017700195,
+    "eval_loss": 2.7497549057006836,
+    "eval_rewards/accuracies": 0.7581967115402222,
+    "eval_rewards/chosen": -18.618242263793945,
+    "eval_rewards/margins": 4.82769775390625,
+    "eval_rewards/rejected": -23.445940017700195,
+    "eval_runtime": 69.1462,
+    "eval_samples": 1941,
+    "eval_samples_per_second": 28.071,
+    "eval_steps_per_second": 0.882
+}

generation_config.json

@@ -0,0 +1,8 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 2,
+  "cache_implementation": "hybrid",
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.42.4"
+}

model.safetensors.index.json

@@ -0,0 +1,471 @@
+{
+  "metadata": {
+    "total_size": 18483411968
+  },
+  "weight_map": {
+    "model.embed_tokens.weight": "model-00001-of-00004.safetensors",
+    "model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.0.post_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.0.pre_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.1.post_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.1.pre_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.10.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.10.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.11.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.11.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.12.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.12.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.13.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.13.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.14.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.14.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.15.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.15.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.16.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.16.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.17.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.17.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.18.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.18.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.18.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.18.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.18.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.19.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.19.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.19.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.19.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.19.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.19.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.19.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.19.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.19.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.19.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.19.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.2.post_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.2.pre_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.20.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.20.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.20.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.20.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.20.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.20.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.20.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.21.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.21.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.22.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.22.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.23.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.23.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.24.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.24.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.25.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.25.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.26.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.26.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.27.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.27.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.28.input_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.28.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.28.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.28.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.28.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.28.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.28.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.28.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.28.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.28.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.28.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.29.input_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.29.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.29.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.29.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.29.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.29.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.29.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.29.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.29.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.29.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.29.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.3.post_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.3.pre_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.30.input_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.30.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.30.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.30.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.30.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.30.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.30.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.30.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.30.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.30.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.30.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.31.input_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.31.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.31.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.31.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.31.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.31.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.31.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.31.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.31.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.31.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.31.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.32.input_layernorm.weight": "model-00004-of-00004.safetensors",
+    "model.layers.32.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.32.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.32.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.32.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
+    "model.layers.32.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
+    "model.layers.32.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
+    "model.layers.32.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.32.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.32.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.32.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.33.input_layernorm.weight": "model-00004-of-00004.safetensors",
+    "model.layers.33.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.33.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.33.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.33.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
+    "model.layers.33.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
+    "model.layers.33.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
+    "model.layers.33.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.33.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.33.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.33.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.34.input_layernorm.weight": "model-00004-of-00004.safetensors",
+    "model.layers.34.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.34.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.34.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.34.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
+    "model.layers.34.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
+    "model.layers.34.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
+    "model.layers.34.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.34.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.34.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.34.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.35.input_layernorm.weight": "model-00004-of-00004.safetensors",
+    "model.layers.35.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.35.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.35.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.35.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
+    "model.layers.35.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
+    "model.layers.35.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
+    "model.layers.35.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.35.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.35.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.35.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.36.input_layernorm.weight": "model-00004-of-00004.safetensors",
+    "model.layers.36.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.36.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.36.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.36.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
+    "model.layers.36.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
+    "model.layers.36.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
+    "model.layers.36.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.36.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.36.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.36.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.37.input_layernorm.weight": "model-00004-of-00004.safetensors",
+    "model.layers.37.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.37.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.37.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.37.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
+    "model.layers.37.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
+    "model.layers.37.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
+    "model.layers.37.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.37.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.37.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.37.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.38.input_layernorm.weight": "model-00004-of-00004.safetensors",
+    "model.layers.38.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.38.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.38.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.38.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
+    "model.layers.38.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
+    "model.layers.38.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
+    "model.layers.38.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.38.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.38.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.38.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.39.input_layernorm.weight": "model-00004-of-00004.safetensors",
+    "model.layers.39.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.39.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.39.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.39.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
+    "model.layers.39.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
+    "model.layers.39.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
+    "model.layers.39.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.39.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.39.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.39.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.4.post_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.4.pre_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.40.input_layernorm.weight": "model-00004-of-00004.safetensors",
+    "model.layers.40.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.40.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.40.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.40.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
+    "model.layers.40.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
+    "model.layers.40.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
+    "model.layers.40.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.40.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.40.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.40.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.41.input_layernorm.weight": "model-00004-of-00004.safetensors",
+    "model.layers.41.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.41.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.41.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.41.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
+    "model.layers.41.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
+    "model.layers.41.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
+    "model.layers.41.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.41.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.41.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.41.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
+    "model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.5.post_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.5.pre_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.6.post_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.6.pre_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.7.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.7.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.7.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.7.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.7.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.8.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.8.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.8.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.8.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.8.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.8.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.8.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.8.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.8.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.8.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.8.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.9.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.9.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
+    "model.norm.weight": "model-00004-of-00004.safetensors"
+  }
+}

output.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:130ef3c883715ec6f4fc25a395474df27db9afdea69c177a195dc16605309c49
+size 6210385848

special_tokens_map.json

@@ -0,0 +1,34 @@
+{
+  "additional_special_tokens": [
+    "<start_of_turn>",
+    "<end_of_turn>"
+  ],
+  "bos_token": {
+    "content": "<bos>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<eos>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7da53ca29fb16f6b2489482fc0bc6a394162cdab14d12764a1755ebc583fea79
+size 17518525

tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:61a7b147390c64585d6c3543dd6fc636906c9af3865a5548f27f31aee1d4c8e2
+size 4241003

tokenizer_config.json

@@ -0,0 +1,1757 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<eos>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "<bos>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "4": {
+      "content": "<mask>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "5": {
+      "content": "<2mass>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "6": {
+      "content": "[@BOS@]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "7": {
+      "content": "<unused0>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "8": {
+      "content": "<unused1>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "9": {
+      "content": "<unused2>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "10": {
+      "content": "<unused3>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "11": {
+      "content": "<unused4>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "12": {
+      "content": "<unused5>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "13": {
+      "content": "<unused6>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "14": {
+      "content": "<unused7>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "15": {
+      "content": "<unused8>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "16": {
+      "content": "<unused9>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "17": {
+      "content": "<unused10>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "18": {
+      "content": "<unused11>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "19": {
+      "content": "<unused12>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "20": {
+      "content": "<unused13>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "21": {
+      "content": "<unused14>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "22": {
+      "content": "<unused15>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "23": {
+      "content": "<unused16>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "24": {
+      "content": "<unused17>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "25": {
+      "content": "<unused18>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "26": {
+      "content": "<unused19>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "27": {
+      "content": "<unused20>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "28": {
+      "content": "<unused21>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "29": {
+      "content": "<unused22>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "30": {
+      "content": "<unused23>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "31": {
+      "content": "<unused24>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "32": {
+      "content": "<unused25>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "33": {
+      "content": "<unused26>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "34": {
+      "content": "<unused27>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "35": {
+      "content": "<unused28>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "36": {
+      "content": "<unused29>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "37": {
+      "content": "<unused30>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "38": {
+      "content": "<unused31>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "39": {
+      "content": "<unused32>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "40": {
+      "content": "<unused33>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "41": {
+      "content": "<unused34>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "42": {
+      "content": "<unused35>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "43": {
+      "content": "<unused36>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "44": {
+      "content": "<unused37>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "45": {
+      "content": "<unused38>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "46": {
+      "content": "<unused39>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "47": {
+      "content": "<unused40>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "48": {
+      "content": "<unused41>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "49": {
+      "content": "<unused42>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50": {
+      "content": "<unused43>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "51": {
+      "content": "<unused44>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "52": {
+      "content": "<unused45>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "53": {
+      "content": "<unused46>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "54": {
+      "content": "<unused47>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "55": {
+      "content": "<unused48>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "56": {
+      "content": "<unused49>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "57": {
+      "content": "<unused50>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "58": {
+      "content": "<unused51>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "59": {
+      "content": "<unused52>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "60": {
+      "content": "<unused53>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "61": {
+      "content": "<unused54>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "62": {
+      "content": "<unused55>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "63": {
+      "content": "<unused56>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "64": {
+      "content": "<unused57>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "65": {
+      "content": "<unused58>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "66": {
+      "content": "<unused59>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "67": {
+      "content": "<unused60>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "68": {
+      "content": "<unused61>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "69": {
+      "content": "<unused62>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "70": {
+      "content": "<unused63>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "71": {
+      "content": "<unused64>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "72": {
+      "content": "<unused65>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "73": {
+      "content": "<unused66>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "74": {
+      "content": "<unused67>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "75": {
+      "content": "<unused68>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "76": {
+      "content": "<unused69>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "77": {
+      "content": "<unused70>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "78": {
+      "content": "<unused71>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "79": {
+      "content": "<unused72>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "80": {
+      "content": "<unused73>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "81": {
+      "content": "<unused74>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "82": {
+      "content": "<unused75>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "83": {
+      "content": "<unused76>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "84": {
+      "content": "<unused77>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "85": {
+      "content": "<unused78>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "86": {
+      "content": "<unused79>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "87": {
+      "content": "<unused80>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "88": {
+      "content": "<unused81>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "89": {
+      "content": "<unused82>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "90": {
+      "content": "<unused83>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "91": {
+      "content": "<unused84>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "92": {
+      "content": "<unused85>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "93": {
+      "content": "<unused86>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "94": {
+      "content": "<unused87>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "95": {
+      "content": "<unused88>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "96": {
+      "content": "<unused89>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "97": {
+      "content": "<unused90>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "98": {
+      "content": "<unused91>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "99": {
+      "content": "<unused92>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "100": {
+      "content": "<unused93>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "101": {
+      "content": "<unused94>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "102": {
+      "content": "<unused95>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "103": {
+      "content": "<unused96>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "104": {
+      "content": "<unused97>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "105": {
+      "content": "<unused98>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "106": {
+      "content": "<start_of_turn>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "107": {
+      "content": "<end_of_turn>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "108": {
+      "content": "\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "109": {
+      "content": "\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "110": {
+      "content": "\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "111": {
+      "content": "\n\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "112": {
+      "content": "\n\n\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "113": {
+      "content": "\n\n\n\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "114": {
+      "content": "\n\n\n\n\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "115": {
+      "content": "\n\n\n\n\n\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "116": {
+      "content": "\n\n\n\n\n\n\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "117": {
+      "content": "\n\n\n\n\n\n\n\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "118": {
+      "content": "\n\n\n\n\n\n\n\n\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "119": {
+      "content": "\n\n\n\n\n\n\n\n\n\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "120": {
+      "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "121": {
+      "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "122": {
+      "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "123": {
+      "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "124": {
+      "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "125": {
+      "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "126": {
+      "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "127": {
+      "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "128": {
+      "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "129": {
+      "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "130": {
+      "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "131": {
+      "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "132": {
+      "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "133": {
+      "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "134": {
+      "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "135": {
+      "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "136": {
+      "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "137": {
+      "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "138": {
+      "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "139": {
+      "content": "▁▁",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "140": {
+      "content": "▁▁▁",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "141": {
+      "content": "▁▁▁▁",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "142": {
+      "content": "▁▁▁▁▁",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "143": {
+      "content": "▁▁▁▁▁▁",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "144": {
+      "content": "▁▁▁▁▁▁▁",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "145": {
+      "content": "▁▁▁▁▁▁▁▁",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "146": {
+      "content": "▁▁▁▁▁▁▁▁▁",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "147": {
+      "content": "▁▁▁▁▁▁▁▁▁▁",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "148": {
+      "content": "▁▁▁▁▁▁▁▁▁▁▁",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "149": {
+      "content": "▁▁▁▁▁▁▁▁▁▁▁▁",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "150": {
+      "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151": {
+      "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "152": {
+      "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "153": {
+      "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "154": {
+      "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "155": {
+      "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "156": {
+      "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "157": {
+      "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "158": {
+      "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "159": {
+      "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "160": {
+      "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "161": {
+      "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "162": {
+      "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "163": {
+      "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "164": {
+      "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "165": {
+      "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "166": {
+      "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "167": {
+      "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "168": {
+      "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "169": {
+      "content": "<table>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "170": {
+      "content": "<caption>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "171": {
+      "content": "<thead>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "172": {
+      "content": "<tbody>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "173": {
+      "content": "<tfoot>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "174": {
+      "content": "<tr>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "175": {
+      "content": "<th>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "176": {
+      "content": "<td>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "177": {
+      "content": "</table>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "178": {
+      "content": "</caption>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "179": {
+      "content": "</thead>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "180": {
+      "content": "</tbody>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "181": {
+      "content": "</tfoot>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "182": {
+      "content": "</tr>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "183": {
+      "content": "</th>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "184": {
+      "content": "</td>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "185": {
+      "content": "<h1>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "186": {
+      "content": "<h2>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "187": {
+      "content": "<h3>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "188": {
+      "content": "<h4>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "189": {
+      "content": "<h5>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "190": {
+      "content": "<h6>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "191": {
+      "content": "<blockquote>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "192": {
+      "content": "</h1>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "193": {
+      "content": "</h2>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "194": {
+      "content": "</h3>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "195": {
+      "content": "</h4>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "196": {
+      "content": "</h5>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "197": {
+      "content": "</h6>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "198": {
+      "content": "</blockquote>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "199": {
+      "content": "<strong>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "200": {
+      "content": "<em>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "201": {
+      "content": "<b>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "202": {
+      "content": "<i>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "203": {
+      "content": "<u>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "204": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "205": {
+      "content": "<sub>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "206": {
+      "content": "<sup>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "207": {
+      "content": "<code>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "208": {
+      "content": "</strong>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "209": {
+      "content": "</em>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "210": {
+      "content": "</b>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "211": {
+      "content": "</i>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "212": {
+      "content": "</u>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "213": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "214": {
+      "content": "</sub>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "215": {
+      "content": "</sup>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "216": {
+      "content": "</code>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "additional_special_tokens": [
+    "<start_of_turn>",
+    "<end_of_turn>"
+  ],
+  "bos_token": "<bos>",
+  "chat_template": "{{ bos_token }}{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] | trim + '\n\n' %}{% set messages = messages[1:] %}{% else %}{% set system_message = '' %}{% endif %}{% for message in messages %}{% if loop.index0 == 0 %}{% set content = system_message + message['content'] %}{% else %}{% set content = message['content'] %}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<start_of_turn>' + role + '\n' + content | trim + '<end_of_turn>\n' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model\n'}}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<eos>",
+  "model_max_length": 2048,
+  "pad_token": "<pad>",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "GemmaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 0.9989258861439313,
+    "total_flos": 0.0,
+    "train_loss": 3.5518602760889197,
+    "train_runtime": 6148.2375,
+    "train_samples": 59569,
+    "train_samples_per_second": 9.689,
+    "train_steps_per_second": 0.076
+}

trainer_state.json

@@ -0,0 +1,1437 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.9989258861439313,
+  "eval_steps": 100000,
+  "global_step": 465,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.010741138560687433,
+      "grad_norm": 94.5147817778946,
+      "learning_rate": 8.51063829787234e-08,
+      "logits/chosen": -10.583702087402344,
+      "logits/rejected": -10.455877304077148,
+      "logps/chosen": -0.9049979448318481,
+      "logps/rejected": -0.8784100413322449,
+      "loss": 6.1451,
+      "rewards/accuracies": 0.574999988079071,
+      "rewards/chosen": -9.04997730255127,
+      "rewards/margins": -0.2658771872520447,
+      "rewards/rejected": -8.784101486206055,
+      "step": 5
+    },
+    {
+      "epoch": 0.021482277121374866,
+      "grad_norm": 128.5515421485228,
+      "learning_rate": 1.702127659574468e-07,
+      "logits/chosen": -10.710015296936035,
+      "logits/rejected": -10.85377311706543,
+      "logps/chosen": -1.0046945810317993,
+      "logps/rejected": -0.8850045204162598,
+      "loss": 5.8491,
+      "rewards/accuracies": 0.512499988079071,
+      "rewards/chosen": -10.04694652557373,
+      "rewards/margins": -1.196901559829712,
+      "rewards/rejected": -8.850046157836914,
+      "step": 10
+    },
+    {
+      "epoch": 0.0322234156820623,
+      "grad_norm": 58.802331595913145,
+      "learning_rate": 2.553191489361702e-07,
+      "logits/chosen": -10.312850952148438,
+      "logits/rejected": -10.239133834838867,
+      "logps/chosen": -1.0889472961425781,
+      "logps/rejected": -1.1543949842453003,
+      "loss": 6.2505,
+      "rewards/accuracies": 0.550000011920929,
+      "rewards/chosen": -10.889472961425781,
+      "rewards/margins": 0.6544777154922485,
+      "rewards/rejected": -11.543951034545898,
+      "step": 15
+    },
+    {
+      "epoch": 0.04296455424274973,
+      "grad_norm": 151.21348799898024,
+      "learning_rate": 3.404255319148936e-07,
+      "logits/chosen": -9.954164505004883,
+      "logits/rejected": -10.053568840026855,
+      "logps/chosen": -0.9611791372299194,
+      "logps/rejected": -1.1332345008850098,
+      "loss": 5.5619,
+      "rewards/accuracies": 0.44999998807907104,
+      "rewards/chosen": -9.611791610717773,
+      "rewards/margins": 1.7205528020858765,
+      "rewards/rejected": -11.332345008850098,
+      "step": 20
+    },
+    {
+      "epoch": 0.05370569280343716,
+      "grad_norm": 99.92865956439873,
+      "learning_rate": 4.25531914893617e-07,
+      "logits/chosen": -10.326103210449219,
+      "logits/rejected": -10.055009841918945,
+      "logps/chosen": -0.8260948061943054,
+      "logps/rejected": -1.1549828052520752,
+      "loss": 5.2635,
+      "rewards/accuracies": 0.5249999761581421,
+      "rewards/chosen": -8.260948181152344,
+      "rewards/margins": 3.2888808250427246,
+      "rewards/rejected": -11.54982852935791,
+      "step": 25
+    },
+    {
+      "epoch": 0.0644468313641246,
+      "grad_norm": 81.6600880763309,
+      "learning_rate": 5.106382978723404e-07,
+      "logits/chosen": -9.319940567016602,
+      "logits/rejected": -9.13192081451416,
+      "logps/chosen": -0.6618553996086121,
+      "logps/rejected": -0.6553267240524292,
+      "loss": 5.0518,
+      "rewards/accuracies": 0.612500011920929,
+      "rewards/chosen": -6.61855411529541,
+      "rewards/margins": -0.06528709828853607,
+      "rewards/rejected": -6.553267002105713,
+      "step": 30
+    },
+    {
+      "epoch": 0.07518796992481203,
+      "grad_norm": 92.79131753018717,
+      "learning_rate": 5.957446808510638e-07,
+      "logits/chosen": -8.877812385559082,
+      "logits/rejected": -8.929550170898438,
+      "logps/chosen": -0.717892050743103,
+      "logps/rejected": -0.6935927867889404,
+      "loss": 5.224,
+      "rewards/accuracies": 0.512499988079071,
+      "rewards/chosen": -7.178920745849609,
+      "rewards/margins": -0.24299363791942596,
+      "rewards/rejected": -6.935927391052246,
+      "step": 35
+    },
+    {
+      "epoch": 0.08592910848549946,
+      "grad_norm": 89.40050001716304,
+      "learning_rate": 6.808510638297872e-07,
+      "logits/chosen": -7.988096714019775,
+      "logits/rejected": -7.907191276550293,
+      "logps/chosen": -0.7402302622795105,
+      "logps/rejected": -0.7434382438659668,
+      "loss": 4.8885,
+      "rewards/accuracies": 0.5375000238418579,
+      "rewards/chosen": -7.4023027420043945,
+      "rewards/margins": 0.032080501317977905,
+      "rewards/rejected": -7.434383392333984,
+      "step": 40
+    },
+    {
+      "epoch": 0.0966702470461869,
+      "grad_norm": 59.92644904113339,
+      "learning_rate": 7.659574468085107e-07,
+      "logits/chosen": -8.71805477142334,
+      "logits/rejected": -8.232014656066895,
+      "logps/chosen": -0.5317873954772949,
+      "logps/rejected": -0.6050616502761841,
+      "loss": 4.5879,
+      "rewards/accuracies": 0.675000011920929,
+      "rewards/chosen": -5.317873477935791,
+      "rewards/margins": 0.7327424883842468,
+      "rewards/rejected": -6.0506157875061035,
+      "step": 45
+    },
+    {
+      "epoch": 0.10741138560687433,
+      "grad_norm": 60.25452206880678,
+      "learning_rate": 7.998983280184396e-07,
+      "logits/chosen": -8.83049488067627,
+      "logits/rejected": -8.585375785827637,
+      "logps/chosen": -0.5144228339195251,
+      "logps/rejected": -0.5809676647186279,
+      "loss": 4.6549,
+      "rewards/accuracies": 0.5874999761581421,
+      "rewards/chosen": -5.144228458404541,
+      "rewards/margins": 0.6654484868049622,
+      "rewards/rejected": -5.8096771240234375,
+      "step": 50
+    },
+    {
+      "epoch": 0.11815252416756176,
+      "grad_norm": 46.997605934809734,
+      "learning_rate": 7.992771864078597e-07,
+      "logits/chosen": -8.163946151733398,
+      "logits/rejected": -8.180994033813477,
+      "logps/chosen": -0.5956984758377075,
+      "logps/rejected": -0.7000880837440491,
+      "loss": 4.6606,
+      "rewards/accuracies": 0.612500011920929,
+      "rewards/chosen": -5.956984519958496,
+      "rewards/margins": 1.0438958406448364,
+      "rewards/rejected": -7.000881195068359,
+      "step": 55
+    },
+    {
+      "epoch": 0.1288936627282492,
+      "grad_norm": 59.25357465703395,
+      "learning_rate": 7.980922636120897e-07,
+      "logits/chosen": -8.718216896057129,
+      "logits/rejected": -8.35698127746582,
+      "logps/chosen": -0.5706155896186829,
+      "logps/rejected": -0.6969493627548218,
+      "loss": 4.4885,
+      "rewards/accuracies": 0.5874999761581421,
+      "rewards/chosen": -5.706155776977539,
+      "rewards/margins": 1.2633379697799683,
+      "rewards/rejected": -6.969493865966797,
+      "step": 60
+    },
+    {
+      "epoch": 0.13963480128893663,
+      "grad_norm": 50.79780612404402,
+      "learning_rate": 7.963452327474534e-07,
+      "logits/chosen": -9.234804153442383,
+      "logits/rejected": -9.1095609664917,
+      "logps/chosen": -0.6090906858444214,
+      "logps/rejected": -0.7208055257797241,
+      "loss": 4.666,
+      "rewards/accuracies": 0.6625000238418579,
+      "rewards/chosen": -6.090908050537109,
+      "rewards/margins": 1.1171473264694214,
+      "rewards/rejected": -7.208055019378662,
+      "step": 65
+    },
+    {
+      "epoch": 0.15037593984962405,
+      "grad_norm": 56.36564641791114,
+      "learning_rate": 7.940385606293987e-07,
+      "logits/chosen": -8.946883201599121,
+      "logits/rejected": -8.716778755187988,
+      "logps/chosen": -0.6818052530288696,
+      "logps/rejected": -0.7961267828941345,
+      "loss": 4.577,
+      "rewards/accuracies": 0.5874999761581421,
+      "rewards/chosen": -6.818052768707275,
+      "rewards/margins": 1.1432150602340698,
+      "rewards/rejected": -7.961267948150635,
+      "step": 70
+    },
+    {
+      "epoch": 0.1611170784103115,
+      "grad_norm": 61.76930510948969,
+      "learning_rate": 7.911755042893434e-07,
+      "logits/chosen": -9.067525863647461,
+      "logits/rejected": -8.9346923828125,
+      "logps/chosen": -0.6832990646362305,
+      "logps/rejected": -0.7763570547103882,
+      "loss": 4.4179,
+      "rewards/accuracies": 0.5375000238418579,
+      "rewards/chosen": -6.8329901695251465,
+      "rewards/margins": 0.9305804371833801,
+      "rewards/rejected": -7.763571262359619,
+      "step": 75
+    },
+    {
+      "epoch": 0.17185821697099893,
+      "grad_norm": 63.602633074853536,
+      "learning_rate": 7.877601063757321e-07,
+      "logits/chosen": -9.461370468139648,
+      "logits/rejected": -8.981520652770996,
+      "logps/chosen": -0.6881433129310608,
+      "logps/rejected": -0.8508684039115906,
+      "loss": 4.3763,
+      "rewards/accuracies": 0.699999988079071,
+      "rewards/chosen": -6.881433010101318,
+      "rewards/margins": 1.6272509098052979,
+      "rewards/rejected": -8.508684158325195,
+      "step": 80
+    },
+    {
+      "epoch": 0.18259935553168635,
+      "grad_norm": 50.67613033462041,
+      "learning_rate": 7.837971894457989e-07,
+      "logits/chosen": -9.557887077331543,
+      "logits/rejected": -9.17081069946289,
+      "logps/chosen": -0.6830392479896545,
+      "logps/rejected": -0.799291729927063,
+      "loss": 4.6499,
+      "rewards/accuracies": 0.6000000238418579,
+      "rewards/chosen": -6.830392360687256,
+      "rewards/margins": 1.1625245809555054,
+      "rewards/rejected": -7.992917060852051,
+      "step": 85
+    },
+    {
+      "epoch": 0.1933404940923738,
+      "grad_norm": 57.58777625940833,
+      "learning_rate": 7.792923491560942e-07,
+      "logits/chosen": -8.579484939575195,
+      "logits/rejected": -8.546136856079102,
+      "logps/chosen": -0.6667743921279907,
+      "logps/rejected": -0.7407978177070618,
+      "loss": 4.4492,
+      "rewards/accuracies": 0.6000000238418579,
+      "rewards/chosen": -6.667743682861328,
+      "rewards/margins": 0.7402342557907104,
+      "rewards/rejected": -7.407977104187012,
+      "step": 90
+    },
+    {
+      "epoch": 0.20408163265306123,
+      "grad_norm": 68.91179001810359,
+      "learning_rate": 7.742519463613926e-07,
+      "logits/chosen": -9.336307525634766,
+      "logits/rejected": -9.128133773803711,
+      "logps/chosen": -0.706219494342804,
+      "logps/rejected": -0.7757526636123657,
+      "loss": 4.2763,
+      "rewards/accuracies": 0.5,
+      "rewards/chosen": -7.062193870544434,
+      "rewards/margins": 0.6953321099281311,
+      "rewards/rejected": -7.7575273513793945,
+      "step": 95
+    },
+    {
+      "epoch": 0.21482277121374865,
+      "grad_norm": 140.43504047927686,
+      "learning_rate": 7.68683098133138e-07,
+      "logits/chosen": -8.939419746398926,
+      "logits/rejected": -8.681028366088867,
+      "logps/chosen": -0.7093919515609741,
+      "logps/rejected": -0.8932901620864868,
+      "loss": 4.4002,
+      "rewards/accuracies": 0.675000011920929,
+      "rewards/chosen": -7.093919277191162,
+      "rewards/margins": 1.838982343673706,
+      "rewards/rejected": -8.932901382446289,
+      "step": 100
+    },
+    {
+      "epoch": 0.22556390977443608,
+      "grad_norm": 105.52949175741638,
+      "learning_rate": 7.625936677101051e-07,
+      "logits/chosen": -8.601816177368164,
+      "logits/rejected": -8.625459671020508,
+      "logps/chosen": -0.8767679333686829,
+      "logps/rejected": -0.8515819311141968,
+      "loss": 4.4644,
+      "rewards/accuracies": 0.5874999761581421,
+      "rewards/chosen": -8.767679214477539,
+      "rewards/margins": -0.25185948610305786,
+      "rewards/rejected": -8.51581859588623,
+      "step": 105
+    },
+    {
+      "epoch": 0.23630504833512353,
+      "grad_norm": 56.44051818244315,
+      "learning_rate": 7.559922533954731e-07,
+      "logits/chosen": -9.58240795135498,
+      "logits/rejected": -9.501542091369629,
+      "logps/chosen": -0.7655607461929321,
+      "logps/rejected": -0.8916142582893372,
+      "loss": 4.2797,
+      "rewards/accuracies": 0.5375000238418579,
+      "rewards/chosen": -7.6556077003479,
+      "rewards/margins": 1.2605348825454712,
+      "rewards/rejected": -8.916143417358398,
+      "step": 110
+    },
+    {
+      "epoch": 0.24704618689581095,
+      "grad_norm": 68.9497539150874,
+      "learning_rate": 7.488881764159808e-07,
+      "logits/chosen": -9.756335258483887,
+      "logits/rejected": -9.543218612670898,
+      "logps/chosen": -0.7038711309432983,
+      "logps/rejected": -0.7986757159233093,
+      "loss": 4.154,
+      "rewards/accuracies": 0.6499999761581421,
+      "rewards/chosen": -7.0387115478515625,
+      "rewards/margins": 0.9480463862419128,
+      "rewards/rejected": -7.986758232116699,
+      "step": 115
+    },
+    {
+      "epoch": 0.2577873254564984,
+      "grad_norm": 90.20504733911939,
+      "learning_rate": 7.412914677603135e-07,
+      "logits/chosen": -9.883420944213867,
+      "logits/rejected": -9.735390663146973,
+      "logps/chosen": -0.9017173647880554,
+      "logps/rejected": -0.9996153116226196,
+      "loss": 4.2168,
+      "rewards/accuracies": 0.612500011920929,
+      "rewards/chosen": -9.017173767089844,
+      "rewards/margins": 0.9789786338806152,
+      "rewards/rejected": -9.996152877807617,
+      "step": 120
+    },
+    {
+      "epoch": 0.26852846401718583,
+      "grad_norm": 63.31580116626401,
+      "learning_rate": 7.332128540153017e-07,
+      "logits/chosen": -10.71928596496582,
+      "logits/rejected": -10.555776596069336,
+      "logps/chosen": -0.788918673992157,
+      "logps/rejected": -0.9437187910079956,
+      "loss": 4.1085,
+      "rewards/accuracies": 0.6625000238418579,
+      "rewards/chosen": -7.889185905456543,
+      "rewards/margins": 1.5480016469955444,
+      "rewards/rejected": -9.437189102172852,
+      "step": 125
+    },
+    {
+      "epoch": 0.27926960257787325,
+      "grad_norm": 81.18347953083857,
+      "learning_rate": 7.246637422199322e-07,
+      "logits/chosen": -10.676037788391113,
+      "logits/rejected": -10.630210876464844,
+      "logps/chosen": -0.8381876945495605,
+      "logps/rejected": -1.0221493244171143,
+      "loss": 4.0857,
+      "rewards/accuracies": 0.699999988079071,
+      "rewards/chosen": -8.381875991821289,
+      "rewards/margins": 1.8396151065826416,
+      "rewards/rejected": -10.221491813659668,
+      "step": 130
+    },
+    {
+      "epoch": 0.2900107411385607,
+      "grad_norm": 80.90445716094146,
+      "learning_rate": 7.156562037585574e-07,
+      "logits/chosen": -11.714326858520508,
+      "logits/rejected": -11.1636323928833,
+      "logps/chosen": -0.8452903628349304,
+      "logps/rejected": -1.1077954769134521,
+      "loss": 3.9406,
+      "rewards/accuracies": 0.7250000238418579,
+      "rewards/chosen": -8.452905654907227,
+      "rewards/margins": 2.6250510215759277,
+      "rewards/rejected": -11.07795524597168,
+      "step": 135
+    },
+    {
+      "epoch": 0.3007518796992481,
+      "grad_norm": 88.8085364984583,
+      "learning_rate": 7.062029573160467e-07,
+      "logits/chosen": -11.935297012329102,
+      "logits/rejected": -11.792046546936035,
+      "logps/chosen": -0.9109989404678345,
+      "logps/rejected": -1.1446388959884644,
+      "loss": 3.6921,
+      "rewards/accuracies": 0.8125,
+      "rewards/chosen": -9.109989166259766,
+      "rewards/margins": 2.3363993167877197,
+      "rewards/rejected": -11.446390151977539,
+      "step": 140
+    },
+    {
+      "epoch": 0.31149301825993553,
+      "grad_norm": 110.78828702618637,
+      "learning_rate": 6.963173509189455e-07,
+      "logits/chosen": -13.552042007446289,
+      "logits/rejected": -13.324705123901367,
+      "logps/chosen": -1.0502710342407227,
+      "logps/rejected": -1.2693006992340088,
+      "loss": 3.8236,
+      "rewards/accuracies": 0.5375000238418579,
+      "rewards/chosen": -10.502711296081543,
+      "rewards/margins": 2.190295696258545,
+      "rewards/rejected": -12.69300651550293,
+      "step": 145
+    },
+    {
+      "epoch": 0.322234156820623,
+      "grad_norm": 111.15417892636452,
+      "learning_rate": 6.860133430880024e-07,
+      "logits/chosen": -14.586761474609375,
+      "logits/rejected": -14.23077392578125,
+      "logps/chosen": -1.2444875240325928,
+      "logps/rejected": -1.4712624549865723,
+      "loss": 3.7527,
+      "rewards/accuracies": 0.637499988079071,
+      "rewards/chosen": -12.444875717163086,
+      "rewards/margins": 2.2677478790283203,
+      "rewards/rejected": -14.712623596191406,
+      "step": 150
+    },
+    {
+      "epoch": 0.33297529538131043,
+      "grad_norm": 119.28100769496392,
+      "learning_rate": 6.753054831286747e-07,
+      "logits/chosen": -14.823234558105469,
+      "logits/rejected": -14.770757675170898,
+      "logps/chosen": -1.3944904804229736,
+      "logps/rejected": -1.6155385971069336,
+      "loss": 3.893,
+      "rewards/accuracies": 0.6875,
+      "rewards/chosen": -13.944903373718262,
+      "rewards/margins": 2.2104804515838623,
+      "rewards/rejected": -16.155384063720703,
+      "step": 155
+    },
+    {
+      "epoch": 0.34371643394199786,
+      "grad_norm": 103.61310969210844,
+      "learning_rate": 6.642088905874433e-07,
+      "logits/chosen": -14.195696830749512,
+      "logits/rejected": -14.07690143585205,
+      "logps/chosen": -1.3757129907608032,
+      "logps/rejected": -1.5891997814178467,
+      "loss": 3.7363,
+      "rewards/accuracies": 0.7250000238418579,
+      "rewards/chosen": -13.75713062286377,
+      "rewards/margins": 2.134868860244751,
+      "rewards/rejected": -15.891998291015625,
+      "step": 160
+    },
+    {
+      "epoch": 0.3544575725026853,
+      "grad_norm": 95.46872943421629,
+      "learning_rate": 6.527392339029455e-07,
+      "logits/chosen": -14.401777267456055,
+      "logits/rejected": -14.322749137878418,
+      "logps/chosen": -1.2530758380889893,
+      "logps/rejected": -1.5336121320724487,
+      "loss": 3.4763,
+      "rewards/accuracies": 0.737500011920929,
+      "rewards/chosen": -12.530759811401367,
+      "rewards/margins": 2.8053627014160156,
+      "rewards/rejected": -15.336122512817383,
+      "step": 165
+    },
+    {
+      "epoch": 0.3651987110633727,
+      "grad_norm": 119.23452912777815,
+      "learning_rate": 6.409127082820689e-07,
+      "logits/chosen": -14.566454887390137,
+      "logits/rejected": -14.484842300415039,
+      "logps/chosen": -1.531166434288025,
+      "logps/rejected": -1.7996248006820679,
+      "loss": 3.6554,
+      "rewards/accuracies": 0.6875,
+      "rewards/chosen": -15.311663627624512,
+      "rewards/margins": 2.6845829486846924,
+      "rewards/rejected": -17.996248245239258,
+      "step": 170
+    },
+    {
+      "epoch": 0.37593984962406013,
+      "grad_norm": 123.93953756068933,
+      "learning_rate": 6.287460128322457e-07,
+      "logits/chosen": -14.157377243041992,
+      "logits/rejected": -14.0371675491333,
+      "logps/chosen": -1.5080561637878418,
+      "logps/rejected": -1.9248558282852173,
+      "loss": 3.4374,
+      "rewards/accuracies": 0.7749999761581421,
+      "rewards/chosen": -15.080561637878418,
+      "rewards/margins": 4.167994022369385,
+      "rewards/rejected": -19.24855613708496,
+      "step": 175
+    },
+    {
+      "epoch": 0.3866809881847476,
+      "grad_norm": 223.710665367037,
+      "learning_rate": 6.16256326982239e-07,
+      "logits/chosen": -16.03777313232422,
+      "logits/rejected": -16.100345611572266,
+      "logps/chosen": -1.5300877094268799,
+      "logps/rejected": -1.8575336933135986,
+      "loss": 3.4606,
+      "rewards/accuracies": 0.6875,
+      "rewards/chosen": -15.300875663757324,
+      "rewards/margins": 3.2744598388671875,
+      "rewards/rejected": -18.575336456298828,
+      "step": 180
+    },
+    {
+      "epoch": 0.39742212674543503,
+      "grad_norm": 294.4348098673441,
+      "learning_rate": 6.034612862247114e-07,
+      "logits/chosen": -14.142799377441406,
+      "logits/rejected": -13.796422958374023,
+      "logps/chosen": -1.5025275945663452,
+      "logps/rejected": -1.7810484170913696,
+      "loss": 3.1185,
+      "rewards/accuracies": 0.6875,
+      "rewards/chosen": -15.025274276733398,
+      "rewards/margins": 2.7852089405059814,
+      "rewards/rejected": -17.810483932495117,
+      "step": 185
+    },
+    {
+      "epoch": 0.40816326530612246,
+      "grad_norm": 112.37773385751002,
+      "learning_rate": 5.903789572148295e-07,
+      "logits/chosen": -14.8009614944458,
+      "logits/rejected": -14.250249862670898,
+      "logps/chosen": -1.5931546688079834,
+      "logps/rejected": -2.022378444671631,
+      "loss": 3.3847,
+      "rewards/accuracies": 0.75,
+      "rewards/chosen": -15.931546211242676,
+      "rewards/margins": 4.292238712310791,
+      "rewards/rejected": -20.223783493041992,
+      "step": 190
+    },
+    {
+      "epoch": 0.4189044038668099,
+      "grad_norm": 125.77761635765717,
+      "learning_rate": 5.770278122600662e-07,
+      "logits/chosen": -14.832977294921875,
+      "logits/rejected": -14.608530044555664,
+      "logps/chosen": -1.6177564859390259,
+      "logps/rejected": -1.9727256298065186,
+      "loss": 3.6009,
+      "rewards/accuracies": 0.675000011920929,
+      "rewards/chosen": -16.177562713623047,
+      "rewards/margins": 3.549692153930664,
+      "rewards/rejected": -19.72725486755371,
+      "step": 195
+    },
+    {
+      "epoch": 0.4296455424274973,
+      "grad_norm": 101.70153964682511,
+      "learning_rate": 5.634267032372192e-07,
+      "logits/chosen": -14.803668022155762,
+      "logits/rejected": -14.786203384399414,
+      "logps/chosen": -1.6423594951629639,
+      "logps/rejected": -1.9881032705307007,
+      "loss": 3.3904,
+      "rewards/accuracies": 0.699999988079071,
+      "rewards/chosen": -16.423595428466797,
+      "rewards/margins": 3.457437515258789,
+      "rewards/rejected": -19.881032943725586,
+      "step": 200
+    },
+    {
+      "epoch": 0.44038668098818473,
+      "grad_norm": 123.22102599092351,
+      "learning_rate": 5.495948349734758e-07,
+      "logits/chosen": -14.582061767578125,
+      "logits/rejected": -14.51270580291748,
+      "logps/chosen": -1.747982382774353,
+      "logps/rejected": -2.051506757736206,
+      "loss": 3.1521,
+      "rewards/accuracies": 0.699999988079071,
+      "rewards/chosen": -17.47982406616211,
+      "rewards/margins": 3.035243034362793,
+      "rewards/rejected": -20.51506805419922,
+      "step": 205
+    },
+    {
+      "epoch": 0.45112781954887216,
+      "grad_norm": 106.53206062736002,
+      "learning_rate": 5.355517381291105e-07,
+      "logits/chosen": -15.856142044067383,
+      "logits/rejected": -15.048059463500977,
+      "logps/chosen": -1.9086406230926514,
+      "logps/rejected": -2.3940463066101074,
+      "loss": 3.1856,
+      "rewards/accuracies": 0.75,
+      "rewards/chosen": -19.086406707763672,
+      "rewards/margins": 4.854057312011719,
+      "rewards/rejected": -23.940462112426758,
+      "step": 210
+    },
+    {
+      "epoch": 0.46186895810955964,
+      "grad_norm": 135.01895835142213,
+      "learning_rate": 5.21317241620105e-07,
+      "logits/chosen": -17.223520278930664,
+      "logits/rejected": -16.822795867919922,
+      "logps/chosen": -1.9180253744125366,
+      "logps/rejected": -2.2895708084106445,
+      "loss": 3.4171,
+      "rewards/accuracies": 0.75,
+      "rewards/chosen": -19.180253982543945,
+      "rewards/margins": 3.7154533863067627,
+      "rewards/rejected": -22.895706176757812,
+      "step": 215
+    },
+    {
+      "epoch": 0.47261009667024706,
+      "grad_norm": 116.88786548811646,
+      "learning_rate": 5.069114446196291e-07,
+      "logits/chosen": -14.405430793762207,
+      "logits/rejected": -14.03125,
+      "logps/chosen": -1.8195463418960571,
+      "logps/rejected": -2.373373508453369,
+      "loss": 3.1087,
+      "rewards/accuracies": 0.8500000238418579,
+      "rewards/chosen": -18.195463180541992,
+      "rewards/margins": 5.538268566131592,
+      "rewards/rejected": -23.73373031616211,
+      "step": 220
+    },
+    {
+      "epoch": 0.4833512352309345,
+      "grad_norm": 117.33800643418842,
+      "learning_rate": 4.923546881779183e-07,
+      "logits/chosen": -15.34239387512207,
+      "logits/rejected": -15.118896484375,
+      "logps/chosen": -1.5427398681640625,
+      "logps/rejected": -1.9821481704711914,
+      "loss": 3.0885,
+      "rewards/accuracies": 0.699999988079071,
+      "rewards/chosen": -15.427398681640625,
+      "rewards/margins": 4.394083023071289,
+      "rewards/rejected": -19.821481704711914,
+      "step": 225
+    },
+    {
+      "epoch": 0.4940923737916219,
+      "grad_norm": 116.49865117484065,
+      "learning_rate": 4.776675265006186e-07,
+      "logits/chosen": -14.630195617675781,
+      "logits/rejected": -14.59937858581543,
+      "logps/chosen": -1.6563146114349365,
+      "logps/rejected": -2.0928232669830322,
+      "loss": 3.2032,
+      "rewards/accuracies": 0.7124999761581421,
+      "rewards/chosen": -16.56314468383789,
+      "rewards/margins": 4.365086555480957,
+      "rewards/rejected": -20.928232192993164,
+      "step": 230
+    },
+    {
+      "epoch": 0.5048335123523093,
+      "grad_norm": 203.29377037587201,
+      "learning_rate": 4.62870697926156e-07,
+      "logits/chosen": -14.8600435256958,
+      "logits/rejected": -15.338279724121094,
+      "logps/chosen": -1.7831714153289795,
+      "logps/rejected": -2.145383358001709,
+      "loss": 3.2633,
+      "rewards/accuracies": 0.762499988079071,
+      "rewards/chosen": -17.831714630126953,
+      "rewards/margins": 3.622117519378662,
+      "rewards/rejected": -21.45383071899414,
+      "step": 235
+    },
+    {
+      "epoch": 0.5155746509129968,
+      "grad_norm": 116.16395762640381,
+      "learning_rate": 4.479850956431092e-07,
+      "logits/chosen": -14.476922988891602,
+      "logits/rejected": -14.742956161499023,
+      "logps/chosen": -1.6810489892959595,
+      "logps/rejected": -2.0232789516448975,
+      "loss": 3.0869,
+      "rewards/accuracies": 0.7124999761581421,
+      "rewards/chosen": -16.810489654541016,
+      "rewards/margins": 3.4223015308380127,
+      "rewards/rejected": -20.232791900634766,
+      "step": 240
+    },
+    {
+      "epoch": 0.5263157894736842,
+      "grad_norm": 98.59837238595348,
+      "learning_rate": 4.33031738188933e-07,
+      "logits/chosen": -15.394210815429688,
+      "logits/rejected": -14.864255905151367,
+      "logps/chosen": -1.6588356494903564,
+      "logps/rejected": -2.0340933799743652,
+      "loss": 3.2303,
+      "rewards/accuracies": 0.762499988079071,
+      "rewards/chosen": -16.58835792541504,
+      "rewards/margins": 3.752579927444458,
+      "rewards/rejected": -20.3409366607666,
+      "step": 245
+    },
+    {
+      "epoch": 0.5370569280343717,
+      "grad_norm": 122.58746074195308,
+      "learning_rate": 4.180317397716889e-07,
+      "logits/chosen": -15.588345527648926,
+      "logits/rejected": -15.222723007202148,
+      "logps/chosen": -1.6328115463256836,
+      "logps/rejected": -2.2505877017974854,
+      "loss": 3.0874,
+      "rewards/accuracies": 0.7749999761581421,
+      "rewards/chosen": -16.328113555908203,
+      "rewards/margins": 6.177763938903809,
+      "rewards/rejected": -22.505878448486328,
+      "step": 250
+    },
+    {
+      "epoch": 0.547798066595059,
+      "grad_norm": 120.49234048427142,
+      "learning_rate": 4.030062804566888e-07,
+      "logits/chosen": -15.462881088256836,
+      "logits/rejected": -15.3878173828125,
+      "logps/chosen": -1.6617505550384521,
+      "logps/rejected": -1.9518375396728516,
+      "loss": 3.0471,
+      "rewards/accuracies": 0.6499999761581421,
+      "rewards/chosen": -16.61750602722168,
+      "rewards/margins": 2.9008688926696777,
+      "rewards/rejected": -19.518375396728516,
+      "step": 255
+    },
+    {
+      "epoch": 0.5585392051557465,
+      "grad_norm": 102.36282696415171,
+      "learning_rate": 3.8797657626014614e-07,
+      "logits/chosen": -15.693799018859863,
+      "logits/rejected": -15.475125312805176,
+      "logps/chosen": -1.7303409576416016,
+      "logps/rejected": -2.111295223236084,
+      "loss": 3.1486,
+      "rewards/accuracies": 0.699999988079071,
+      "rewards/chosen": -17.303409576416016,
+      "rewards/margins": 3.809544801712036,
+      "rewards/rejected": -21.112953186035156,
+      "step": 260
+    },
+    {
+      "epoch": 0.569280343716434,
+      "grad_norm": 120.30352416855824,
+      "learning_rate": 3.729638491920669e-07,
+      "logits/chosen": -14.018827438354492,
+      "logits/rejected": -14.128240585327148,
+      "logps/chosen": -1.5650581121444702,
+      "logps/rejected": -1.8844165802001953,
+      "loss": 3.0723,
+      "rewards/accuracies": 0.7749999761581421,
+      "rewards/chosen": -15.650581359863281,
+      "rewards/margins": 3.193586826324463,
+      "rewards/rejected": -18.84417152404785,
+      "step": 265
+    },
+    {
+      "epoch": 0.5800214822771214,
+      "grad_norm": 91.11946128351651,
+      "learning_rate": 3.5798929729067464e-07,
+      "logits/chosen": -15.980966567993164,
+      "logits/rejected": -15.59577465057373,
+      "logps/chosen": -1.759478211402893,
+      "logps/rejected": -2.1487960815429688,
+      "loss": 2.7323,
+      "rewards/accuracies": 0.824999988079071,
+      "rewards/chosen": -17.59478187561035,
+      "rewards/margins": 3.8931777477264404,
+      "rewards/rejected": -21.487960815429688,
+      "step": 270
+    },
+    {
+      "epoch": 0.5907626208378088,
+      "grad_norm": 111.96074414088407,
+      "learning_rate": 3.4307406469068595e-07,
+      "logits/chosen": -15.691810607910156,
+      "logits/rejected": -15.631698608398438,
+      "logps/chosen": -1.7383606433868408,
+      "logps/rejected": -2.2635440826416016,
+      "loss": 2.9053,
+      "rewards/accuracies": 0.8500000238418579,
+      "rewards/chosen": -17.38360595703125,
+      "rewards/margins": 5.251835823059082,
+      "rewards/rejected": -22.635440826416016,
+      "step": 275
+    },
+    {
+      "epoch": 0.6015037593984962,
+      "grad_norm": 122.95732420434838,
+      "learning_rate": 3.282392117676968e-07,
+      "logits/chosen": -15.389913558959961,
+      "logits/rejected": -15.556841850280762,
+      "logps/chosen": -1.9042613506317139,
+      "logps/rejected": -2.476677417755127,
+      "loss": 2.9112,
+      "rewards/accuracies": 0.824999988079071,
+      "rewards/chosen": -19.04261589050293,
+      "rewards/margins": 5.72415828704834,
+      "rewards/rejected": -24.766775131225586,
+      "step": 280
+    },
+    {
+      "epoch": 0.6122448979591837,
+      "grad_norm": 104.08928006990811,
+      "learning_rate": 3.135056854008371e-07,
+      "logits/chosen": -16.152729034423828,
+      "logits/rejected": -16.002233505249023,
+      "logps/chosen": -1.8163830041885376,
+      "logps/rejected": -2.228738784790039,
+      "loss": 2.8591,
+      "rewards/accuracies": 0.75,
+      "rewards/chosen": -18.163829803466797,
+      "rewards/margins": 4.123559474945068,
+      "rewards/rejected": -22.28738784790039,
+      "step": 285
+    },
+    {
+      "epoch": 0.6229860365198711,
+      "grad_norm": 113.24003069429473,
+      "learning_rate": 2.988942893956833e-07,
+      "logits/chosen": -15.338768005371094,
+      "logits/rejected": -15.249606132507324,
+      "logps/chosen": -1.8918412923812866,
+      "logps/rejected": -2.32609224319458,
+      "loss": 3.0229,
+      "rewards/accuracies": 0.7875000238418579,
+      "rewards/chosen": -18.918415069580078,
+      "rewards/margins": 4.342508792877197,
+      "rewards/rejected": -23.260921478271484,
+      "step": 290
+    },
+    {
+      "epoch": 0.6337271750805585,
+      "grad_norm": 151.8876206935079,
+      "learning_rate": 2.844256551091911e-07,
+      "logits/chosen": -16.8232421875,
+      "logits/rejected": -16.842761993408203,
+      "logps/chosen": -1.9518108367919922,
+      "logps/rejected": -2.4939913749694824,
+      "loss": 2.833,
+      "rewards/accuracies": 0.8125,
+      "rewards/chosen": -19.518108367919922,
+      "rewards/margins": 5.421802997589111,
+      "rewards/rejected": -24.939910888671875,
+      "step": 295
+    },
+    {
+      "epoch": 0.644468313641246,
+      "grad_norm": 273.6603281637076,
+      "learning_rate": 2.7012021231812664e-07,
+      "logits/chosen": -16.766956329345703,
+      "logits/rejected": -16.424999237060547,
+      "logps/chosen": -1.969435453414917,
+      "logps/rejected": -2.308202028274536,
+      "loss": 3.2442,
+      "rewards/accuracies": 0.7124999761581421,
+      "rewards/chosen": -19.694355010986328,
+      "rewards/margins": 3.387664318084717,
+      "rewards/rejected": -23.082019805908203,
+      "step": 300
+    },
+    {
+      "epoch": 0.6552094522019334,
+      "grad_norm": 187.01720889425104,
+      "learning_rate": 2.5599816037212954e-07,
+      "logits/chosen": -14.743069648742676,
+      "logits/rejected": -14.623723983764648,
+      "logps/chosen": -1.8649146556854248,
+      "logps/rejected": -2.4030163288116455,
+      "loss": 2.9136,
+      "rewards/accuracies": 0.824999988079071,
+      "rewards/chosen": -18.64914894104004,
+      "rewards/margins": 5.381015777587891,
+      "rewards/rejected": -24.03016471862793,
+      "step": 305
+    },
+    {
+      "epoch": 0.6659505907626209,
+      "grad_norm": 142.83830462137144,
+      "learning_rate": 2.4207943967214064e-07,
+      "logits/chosen": -16.09463119506836,
+      "logits/rejected": -15.806689262390137,
+      "logps/chosen": -2.033447742462158,
+      "logps/rejected": -2.524364471435547,
+      "loss": 3.1207,
+      "rewards/accuracies": 0.7250000238418579,
+      "rewards/chosen": -20.334476470947266,
+      "rewards/margins": 4.909164905548096,
+      "rewards/rejected": -25.24364471435547,
+      "step": 310
+    },
+    {
+      "epoch": 0.6766917293233082,
+      "grad_norm": 106.6308691579763,
+      "learning_rate": 2.2838370351446547e-07,
+      "logits/chosen": -15.870585441589355,
+      "logits/rejected": -15.55876350402832,
+      "logps/chosen": -1.8023881912231445,
+      "logps/rejected": -2.277968168258667,
+      "loss": 2.7641,
+      "rewards/accuracies": 0.6875,
+      "rewards/chosen": -18.023881912231445,
+      "rewards/margins": 4.755801200866699,
+      "rewards/rejected": -22.779682159423828,
+      "step": 315
+    },
+    {
+      "epoch": 0.6874328678839957,
+      "grad_norm": 108.7814729394269,
+      "learning_rate": 2.1493029034023188e-07,
+      "logits/chosen": -15.210580825805664,
+      "logits/rejected": -15.057415962219238,
+      "logps/chosen": -1.789072036743164,
+      "logps/rejected": -2.2775633335113525,
+      "loss": 2.8863,
+      "rewards/accuracies": 0.75,
+      "rewards/chosen": -17.89072036743164,
+      "rewards/margins": 4.884912014007568,
+      "rewards/rejected": -22.775630950927734,
+      "step": 320
+    },
+    {
+      "epoch": 0.6981740064446831,
+      "grad_norm": 180.86259023584043,
+      "learning_rate": 2.0173819642942376e-07,
+      "logits/chosen": -14.378689765930176,
+      "logits/rejected": -14.201916694641113,
+      "logps/chosen": -1.9404065608978271,
+      "logps/rejected": -2.5850563049316406,
+      "loss": 2.9848,
+      "rewards/accuracies": 0.7749999761581421,
+      "rewards/chosen": -19.404064178466797,
+      "rewards/margins": 6.446499824523926,
+      "rewards/rejected": -25.85056495666504,
+      "step": 325
+    },
+    {
+      "epoch": 0.7089151450053706,
+      "grad_norm": 132.13798361660807,
+      "learning_rate": 1.888260490780485e-07,
+      "logits/chosen": -14.281087875366211,
+      "logits/rejected": -14.154438972473145,
+      "logps/chosen": -1.7613548040390015,
+      "logps/rejected": -2.238495349884033,
+      "loss": 3.0495,
+      "rewards/accuracies": 0.800000011920929,
+      "rewards/chosen": -17.61355209350586,
+      "rewards/margins": 4.771404266357422,
+      "rewards/rejected": -22.384952545166016,
+      "step": 330
+    },
+    {
+      "epoch": 0.719656283566058,
+      "grad_norm": 127.44733826541191,
+      "learning_rate": 1.7621208029631078e-07,
+      "logits/chosen": -14.766406059265137,
+      "logits/rejected": -14.667470932006836,
+      "logps/chosen": -1.9043552875518799,
+      "logps/rejected": -2.4970054626464844,
+      "loss": 2.9109,
+      "rewards/accuracies": 0.7875000238418579,
+      "rewards/chosen": -19.04355239868164,
+      "rewards/margins": 5.9265007972717285,
+      "rewards/rejected": -24.970054626464844,
+      "step": 335
+    },
+    {
+      "epoch": 0.7303974221267454,
+      "grad_norm": 114.16195914051926,
+      "learning_rate": 1.6391410106493227e-07,
+      "logits/chosen": -14.881872177124023,
+      "logits/rejected": -14.627456665039062,
+      "logps/chosen": -1.9786325693130493,
+      "logps/rejected": -2.5424978733062744,
+      "loss": 2.8817,
+      "rewards/accuracies": 0.7749999761581421,
+      "rewards/chosen": -19.786325454711914,
+      "rewards/margins": 5.63865327835083,
+      "rewards/rejected": -25.424976348876953,
+      "step": 340
+    },
+    {
+      "epoch": 0.7411385606874329,
+      "grad_norm": 99.76652109445614,
+      "learning_rate": 1.5194947618596673e-07,
+      "logits/chosen": -15.026782035827637,
+      "logits/rejected": -14.58587646484375,
+      "logps/chosen": -1.9211170673370361,
+      "logps/rejected": -2.394774913787842,
+      "loss": 3.0269,
+      "rewards/accuracies": 0.800000011920929,
+      "rewards/chosen": -19.211170196533203,
+      "rewards/margins": 4.736577033996582,
+      "rewards/rejected": -23.9477481842041,
+      "step": 345
+    },
+    {
+      "epoch": 0.7518796992481203,
+      "grad_norm": 107.2380444923777,
+      "learning_rate": 1.4033509976362083e-07,
+      "logits/chosen": -15.670697212219238,
+      "logits/rejected": -15.579752922058105,
+      "logps/chosen": -1.9338979721069336,
+      "logps/rejected": -2.3520257472991943,
+      "loss": 2.9892,
+      "rewards/accuracies": 0.800000011920929,
+      "rewards/chosen": -19.338979721069336,
+      "rewards/margins": 4.181277751922607,
+      "rewards/rejected": -23.52025604248047,
+      "step": 350
+    },
+    {
+      "epoch": 0.7626208378088077,
+      "grad_norm": 108.07049767560719,
+      "learning_rate": 1.2908737134970363e-07,
+      "logits/chosen": -14.5513334274292,
+      "logits/rejected": -14.516873359680176,
+      "logps/chosen": -1.8658726215362549,
+      "logps/rejected": -2.476576566696167,
+      "loss": 3.1196,
+      "rewards/accuracies": 0.737500011920929,
+      "rewards/chosen": -18.65872573852539,
+      "rewards/margins": 6.1070404052734375,
+      "rewards/rejected": -24.765766143798828,
+      "step": 355
+    },
+    {
+      "epoch": 0.7733619763694952,
+      "grad_norm": 103.96338647941381,
+      "learning_rate": 1.1822217278738515e-07,
+      "logits/chosen": -15.559527397155762,
+      "logits/rejected": -15.545167922973633,
+      "logps/chosen": -1.9091074466705322,
+      "logps/rejected": -2.4284536838531494,
+      "loss": 3.0461,
+      "rewards/accuracies": 0.75,
+      "rewards/chosen": -19.091075897216797,
+      "rewards/margins": 5.193462371826172,
+      "rewards/rejected": -24.284536361694336,
+      "step": 360
+    },
+    {
+      "epoch": 0.7841031149301826,
+      "grad_norm": 138.78303459839336,
+      "learning_rate": 1.0775484578596241e-07,
+      "logits/chosen": -15.669352531433105,
+      "logits/rejected": -15.537897109985352,
+      "logps/chosen": -1.94468092918396,
+      "logps/rejected": -2.5436809062957764,
+      "loss": 2.7974,
+      "rewards/accuracies": 0.7749999761581421,
+      "rewards/chosen": -19.44681167602539,
+      "rewards/margins": 5.989997386932373,
+      "rewards/rejected": -25.436809539794922,
+      "step": 365
+    },
+    {
+      "epoch": 0.7948442534908701,
+      "grad_norm": 122.14734643501443,
+      "learning_rate": 9.770017025829673e-08,
+      "logits/chosen": -15.961019515991211,
+      "logits/rejected": -15.95417308807373,
+      "logps/chosen": -2.1812241077423096,
+      "logps/rejected": -2.6908135414123535,
+      "loss": 2.6374,
+      "rewards/accuracies": 0.7875000238418579,
+      "rewards/chosen": -21.812240600585938,
+      "rewards/margins": 5.095890998840332,
+      "rewards/rejected": -26.908132553100586,
+      "step": 370
+    },
+    {
+      "epoch": 0.8055853920515574,
+      "grad_norm": 114.19485857094502,
+      "learning_rate": 8.807234345151027e-08,
+      "logits/chosen": -14.920249938964844,
+      "logits/rejected": -14.890344619750977,
+      "logps/chosen": -2.0413661003112793,
+      "logps/rejected": -2.6543760299682617,
+      "loss": 2.8891,
+      "rewards/accuracies": 0.824999988079071,
+      "rewards/chosen": -20.41366195678711,
+      "rewards/margins": 6.13009786605835,
+      "rewards/rejected": -26.543758392333984,
+      "step": 375
+    },
+    {
+      "epoch": 0.8163265306122449,
+      "grad_norm": 184.4289644042616,
+      "learning_rate": 7.888495990040924e-08,
+      "logits/chosen": -13.656982421875,
+      "logits/rejected": -13.701431274414062,
+      "logps/chosen": -2.011772871017456,
+      "logps/rejected": -2.7216084003448486,
+      "loss": 2.9801,
+      "rewards/accuracies": 0.8374999761581421,
+      "rewards/chosen": -20.117727279663086,
+      "rewards/margins": 7.098354339599609,
+      "rewards/rejected": -27.21608543395996,
+      "step": 380
+    },
+    {
+      "epoch": 0.8270676691729323,
+      "grad_norm": 132.46593111411627,
+      "learning_rate": 7.015099223193943e-08,
+      "logits/chosen": -15.658330917358398,
+      "logits/rejected": -15.693890571594238,
+      "logps/chosen": -1.9581212997436523,
+      "logps/rejected": -2.5001060962677,
+      "loss": 2.8611,
+      "rewards/accuracies": 0.7875000238418579,
+      "rewards/chosen": -19.58121681213379,
+      "rewards/margins": 5.419846534729004,
+      "rewards/rejected": -25.001062393188477,
+      "step": 385
+    },
+    {
+      "epoch": 0.8378088077336198,
+      "grad_norm": 109.73562851103766,
+      "learning_rate": 6.188277284777857e-08,
+      "logits/chosen": -14.48884391784668,
+      "logits/rejected": -13.800481796264648,
+      "logps/chosen": -1.9877732992172241,
+      "logps/rejected": -2.5746169090270996,
+      "loss": 2.8295,
+      "rewards/accuracies": 0.8374999761581421,
+      "rewards/chosen": -19.877731323242188,
+      "rewards/margins": 5.868436813354492,
+      "rewards/rejected": -25.746166229248047,
+      "step": 390
+    },
+    {
+      "epoch": 0.8485499462943072,
+      "grad_norm": 119.04235166242496,
+      "learning_rate": 5.409197651092965e-08,
+      "logits/chosen": -15.729510307312012,
+      "logits/rejected": -15.620780944824219,
+      "logps/chosen": -2.1660141944885254,
+      "logps/rejected": -2.667978286743164,
+      "loss": 2.7298,
+      "rewards/accuracies": 0.7875000238418579,
+      "rewards/chosen": -21.660140991210938,
+      "rewards/margins": 5.019640922546387,
+      "rewards/rejected": -26.679784774780273,
+      "step": 395
+    },
+    {
+      "epoch": 0.8592910848549946,
+      "grad_norm": 105.88618147362118,
+      "learning_rate": 4.678960386090298e-08,
+      "logits/chosen": -15.191770553588867,
+      "logits/rejected": -15.158576965332031,
+      "logps/chosen": -1.9015194177627563,
+      "logps/rejected": -2.5145716667175293,
+      "loss": 2.7402,
+      "rewards/accuracies": 0.8125,
+      "rewards/chosen": -19.015193939208984,
+      "rewards/margins": 6.130521297454834,
+      "rewards/rejected": -25.145715713500977,
+      "step": 400
+    },
+    {
+      "epoch": 0.8700322234156821,
+      "grad_norm": 114.47737417347113,
+      "learning_rate": 3.998596588076366e-08,
+      "logits/chosen": -13.7559814453125,
+      "logits/rejected": -13.483953475952148,
+      "logps/chosen": -1.9659799337387085,
+      "logps/rejected": -2.390488862991333,
+      "loss": 3.1028,
+      "rewards/accuracies": 0.737500011920929,
+      "rewards/chosen": -19.659801483154297,
+      "rewards/margins": 4.245090484619141,
+      "rewards/rejected": -23.904891967773438,
+      "step": 405
+    },
+    {
+      "epoch": 0.8807733619763695,
+      "grad_norm": 124.82158209754382,
+      "learning_rate": 3.3690669337976996e-08,
+      "logits/chosen": -15.061103820800781,
+      "logits/rejected": -14.891242980957031,
+      "logps/chosen": -1.8727645874023438,
+      "logps/rejected": -2.3343753814697266,
+      "loss": 2.7051,
+      "rewards/accuracies": 0.7250000238418579,
+      "rewards/chosen": -18.727645874023438,
+      "rewards/margins": 4.6161088943481445,
+      "rewards/rejected": -23.343753814697266,
+      "step": 410
+    },
+    {
+      "epoch": 0.8915145005370569,
+      "grad_norm": 127.84134494966216,
+      "learning_rate": 2.7912603219609798e-08,
+      "logits/chosen": -15.650156021118164,
+      "logits/rejected": -15.531412124633789,
+      "logps/chosen": -2.0558724403381348,
+      "logps/rejected": -2.456268787384033,
+      "loss": 2.7054,
+      "rewards/accuracies": 0.7749999761581421,
+      "rewards/chosen": -20.558725357055664,
+      "rewards/margins": 4.003961563110352,
+      "rewards/rejected": -24.562685012817383,
+      "step": 415
+    },
+    {
+      "epoch": 0.9022556390977443,
+      "grad_norm": 121.68417066288369,
+      "learning_rate": 2.265992618104029e-08,
+      "logits/chosen": -15.883665084838867,
+      "logits/rejected": -15.859227180480957,
+      "logps/chosen": -2.1571857929229736,
+      "logps/rejected": -2.7032248973846436,
+      "loss": 2.7706,
+      "rewards/accuracies": 0.7749999761581421,
+      "rewards/chosen": -21.571857452392578,
+      "rewards/margins": 5.460390090942383,
+      "rewards/rejected": -27.03224754333496,
+      "step": 420
+    },
+    {
+      "epoch": 0.9129967776584318,
+      "grad_norm": 205.5451817035243,
+      "learning_rate": 1.7940055025900304e-08,
+      "logits/chosen": -14.086555480957031,
+      "logits/rejected": -13.882139205932617,
+      "logps/chosen": -2.0481374263763428,
+      "logps/rejected": -2.428682804107666,
+      "loss": 3.0577,
+      "rewards/accuracies": 0.6625000238418579,
+      "rewards/chosen": -20.481372833251953,
+      "rewards/margins": 3.8054566383361816,
+      "rewards/rejected": -24.28683090209961,
+      "step": 425
+    },
+    {
+      "epoch": 0.9237379162191193,
+      "grad_norm": 119.46095967048043,
+      "learning_rate": 1.3759654233514817e-08,
+      "logits/chosen": -14.88987922668457,
+      "logits/rejected": -14.742823600769043,
+      "logps/chosen": -1.941057562828064,
+      "logps/rejected": -2.4432146549224854,
+      "loss": 2.8075,
+      "rewards/accuracies": 0.737500011920929,
+      "rewards/chosen": -19.41057586669922,
+      "rewards/margins": 5.021571636199951,
+      "rewards/rejected": -24.432147979736328,
+      "step": 430
+    },
+    {
+      "epoch": 0.9344790547798066,
+      "grad_norm": 112.52416047730715,
+      "learning_rate": 1.0124626548627402e-08,
+      "logits/chosen": -15.55200481414795,
+      "logits/rejected": -15.57677936553955,
+      "logps/chosen": -2.0663094520568848,
+      "logps/rejected": -2.723595380783081,
+      "loss": 2.7934,
+      "rewards/accuracies": 0.800000011920929,
+      "rewards/chosen": -20.663097381591797,
+      "rewards/margins": 6.5728559494018555,
+      "rewards/rejected": -27.235950469970703,
+      "step": 435
+    },
+    {
+      "epoch": 0.9452201933404941,
+      "grad_norm": 95.43516446345191,
+      "learning_rate": 7.040104646698042e-09,
+      "logits/chosen": -14.149500846862793,
+      "logits/rejected": -14.121160507202148,
+      "logps/chosen": -2.1648197174072266,
+      "logps/rejected": -2.803515911102295,
+      "loss": 2.7258,
+      "rewards/accuracies": 0.75,
+      "rewards/chosen": -21.648197174072266,
+      "rewards/margins": 6.386962890625,
+      "rewards/rejected": -28.035160064697266,
+      "step": 440
+    },
+    {
+      "epoch": 0.9559613319011815,
+      "grad_norm": 105.32519506523218,
+      "learning_rate": 4.510443886542114e-09,
+      "logits/chosen": -15.509679794311523,
+      "logits/rejected": -15.587133407592773,
+      "logps/chosen": -2.019160509109497,
+      "logps/rejected": -2.5319721698760986,
+      "loss": 2.8015,
+      "rewards/accuracies": 0.800000011920929,
+      "rewards/chosen": -20.191600799560547,
+      "rewards/margins": 5.128118991851807,
+      "rewards/rejected": -25.319721221923828,
+      "step": 445
+    },
+    {
+      "epoch": 0.966702470461869,
+      "grad_norm": 142.71634790119586,
+      "learning_rate": 2.539216160544333e-09,
+      "logits/chosen": -15.480878829956055,
+      "logits/rejected": -15.102048873901367,
+      "logps/chosen": -2.1352379322052,
+      "logps/rejected": -2.589895486831665,
+      "loss": 2.889,
+      "rewards/accuracies": 0.762499988079071,
+      "rewards/chosen": -21.35237693786621,
+      "rewards/margins": 4.546576023101807,
+      "rewards/rejected": -25.898956298828125,
+      "step": 450
+    },
+    {
+      "epoch": 0.9774436090225563,
+      "grad_norm": 123.94313579799326,
+      "learning_rate": 1.1292048511303054e-09,
+      "logits/chosen": -14.889852523803711,
+      "logits/rejected": -15.104809761047363,
+      "logps/chosen": -1.9709218740463257,
+      "logps/rejected": -2.4727888107299805,
+      "loss": 2.9813,
+      "rewards/accuracies": 0.762499988079071,
+      "rewards/chosen": -19.709218978881836,
+      "rewards/margins": 5.018665313720703,
+      "rewards/rejected": -24.727886199951172,
+      "step": 455
+    },
+    {
+      "epoch": 0.9881847475832438,
+      "grad_norm": 100.41632245481235,
+      "learning_rate": 2.82400900618418e-10,
+      "logits/chosen": -15.215599060058594,
+      "logits/rejected": -15.19567584991455,
+      "logps/chosen": -1.937787652015686,
+      "logps/rejected": -2.593761920928955,
+      "loss": 2.5524,
+      "rewards/accuracies": 0.8125,
+      "rewards/chosen": -19.377878189086914,
+      "rewards/margins": 6.559741020202637,
+      "rewards/rejected": -25.937618255615234,
+      "step": 460
+    },
+    {
+      "epoch": 0.9989258861439313,
+      "grad_norm": 139.5358860215804,
+      "learning_rate": 0.0,
+      "logits/chosen": -15.462666511535645,
+      "logits/rejected": -15.356382369995117,
+      "logps/chosen": -2.155303716659546,
+      "logps/rejected": -2.6153688430786133,
+      "loss": 2.5621,
+      "rewards/accuracies": 0.7875000238418579,
+      "rewards/chosen": -21.55303955078125,
+      "rewards/margins": 4.600649356842041,
+      "rewards/rejected": -26.1536865234375,
+      "step": 465
+    },
+    {
+      "epoch": 0.9989258861439313,
+      "step": 465,
+      "total_flos": 0.0,
+      "train_loss": 3.5518602760889197,
+      "train_runtime": 6148.2375,
+      "train_samples_per_second": 9.689,
+      "train_steps_per_second": 0.076
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 465,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 1000000,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 0.0,
+  "train_batch_size": 2,
+  "trial_name": null,
+  "trial_params": null
+}