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.ipynb_checkpoints/README-checkpoint.md

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+---
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# merge
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+### Merge Method
+
+This model was merged using the SLERP merge method.
+
+### Models Merged
+
+The following models were included in the merge:
+* [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta)
+* [NousResearch/Hermes-2-Pro-Mistral-7B](https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B)
+* [instructlab/merlinite-7b-lab](https://huggingface.co/instructlab/merlinite-7b-lab)
+
+### Configuration
+Since Slerp allows merging two models at a time, the following YAML configurations were used to produce this model:
+```yaml
+slices:
+  - sources:
+      - model: HuggingFaceH4/zephyr-7b-beta
+        layer_range: [0, 32]
+      - model: NousResearch/Hermes-2-Pro-Mistral-7B
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: HuggingFaceH4/zephyr-7b-beta
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5
+dtype: bfloat16
+```
+

.ipynb_checkpoints/mergekit_config-checkpoint.yml

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+
+slices:
+  - sources:
+      - model: HuggingFaceH4/zephyr-7b-beta
+        layer_range: [0, 32]
+      - model: NousResearch/Hermes-2-Pro-Mistral-7B
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: HuggingFaceH4/zephyr-7b-beta
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5
+dtype: bfloat16

README.md

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+---
+tags:
+- merge
+- mergekit
+- lazymergekit
+- NousResearch/Hermes-2-Pro-Mistral-7B
+- instructlab/merlinite-7b-lab
+base_model:
+- NousResearch/Hermes-2-Pro-Mistral-7B
+- instructlab/merlinite-7b-lab
+---
+
+# TriMistral-7B-TIES
+TriMistral-7B-TIES is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [NousResearch/Hermes-2-Pro-Mistral-7B](https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B)
+* [instructlab/merlinite-7b-lab](https://huggingface.co/instructlab/merlinite-7b-lab)
+Special thanks to Charles Goddard for the quick implementation!
+
+## 🧩 Configuration
+
+```yaml
+models:
+  - model: HuggingFaceH4/zephyr-7b-beta
+    # no parameters necessary for base model
+  - model: NousResearch/Hermes-2-Pro-Mistral-7B
+    parameters:
+      density: 0.5
+      weight: 0.5
+  - model: instructlab/merlinite-7b-lab
+    parameters:
+      density: 0.5
+      weight: 0.3
+merge_method: ties
+base_model: HuggingFaceH4/zephyr-7b-beta
+parameters:
+  normalize: true
+dtype: bfloat16
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "Muhammad2003/TriMistral-7B-TIES"
+messages = [{"role": "user", "content": "What is a large language model?"}]
+
+tokenizer = AutoTokenizer.from_pretrained(model)
+prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=model,
+    torch_dtype=torch.float16,
+    device_map="auto",
+)
+
+outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
+print(outputs[0]["generated_text"])
+```
+## 🏆 Evaluation
+Coming Soon!

config.json

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+{
+  "_name_or_path": "HuggingFaceH4/zephyr-7b-beta",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "pad_token_id": 2,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.40.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+
+models:
+  - model: HuggingFaceH4/zephyr-7b-beta
+    # no parameters necessary for base model
+  - model: NousResearch/Hermes-2-Pro-Mistral-7B
+    parameters:
+      density: 0.5
+      weight: 0.5
+  - model: instructlab/merlinite-7b-lab
+    parameters:
+      density: 0.5
+      weight: 0.3
+merge_method: ties
+base_model: HuggingFaceH4/zephyr-7b-beta
+parameters:
+  normalize: true
+dtype: bfloat16

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special_tokens_map.json

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+size 493443

tokenizer_config.json

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