Quant for 8.0

.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
+*.gguf filter=lfs diff=lfs merge=lfs -text

README.md

@@ -8,64 +8,43 @@ tags:
 - merge
 license: cc-by-nc-4.0
 pipeline_tag: text-generation
-quantized_by: bartowski
 ---
+# kunoichi-lemon-royale-v2-32K-7B
 
-## Exllama v2 Quantizations of kunoichi-lemon-royale-v2-32K-7B
+This merge amounts to the grafting of a model derived from Mistral v0.1 (4K sliding window context, to a maximum of 8K practical context length) onto a model derived from Mistral v0.2 (32K context length). It appears to work, although rope_theta in config.json was lowered from 1000000.0 to 100000.0, which works well enough to 16K.
 
-Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.21">turboderp's ExLlamaV2 v0.0.21</a> for quantization.
+In light testing, this model appears to follow formatting very well, with temperature 1.0 and minP 0.01, using ChatML prompts, even though the underlying model claims to follow Alpaca prompts.
 
-<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
 
-Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
+- Full weights: [kunoichi-lemon-royale-v2-32K-7B](https://huggingface.co/grimjim/kunoichi-lemon-royale-v2-32K-7B)
+- GGUFs: [kunoichi-lemon-royale-v2-32K-7B-GGUF](https://huggingface.co/grimjim/kunoichi-lemon-royale-v2-32K-7B-GGUF)
 
-Original model: https://huggingface.co/grimjim/kunoichi-lemon-royale-v2-32K-7B
+## Merge Details
+### Merge Method
 
-## Prompt format
+This model was merged using the [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [grimjim/Mistral-7B-Instruct-demi-merge-v0.2-7B](https://huggingface.co/grimjim/Mistral-7B-Instruct-demi-merge-v0.2-7B) as a base.
 
-```
-<s> [INST] {prompt} [/INST]</s>
-```
-
-Note that this model does not support a System prompt.
-
-## Available sizes
+### Models Merged
 
+The following models were included in the merge:
+* [grimjim/kunoichi-lemon-royale-7B](https://huggingface.co/grimjim/kunoichi-lemon-royale-7B)
 
-| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description |
-| ----- | ---- | ------- | ------ | ------ | ------ | ------------ |
-| [8_0](https://huggingface.co/bartowski/kunoichi-lemon-royale-v2-32K-7B-exl2/tree/8_0) | 8.0 | 8.0 | 8.4 GB | 9.8 GB | 11.8 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
-| [6_5](https://huggingface.co/bartowski/kunoichi-lemon-royale-v2-32K-7B-exl2/tree/6_5) | 6.5 | 8.0 | 7.2 GB | 8.6 GB | 10.6 GB | Very similar to 8.0, good tradeoff of size vs performance, **recommended**. |
-| [5_0](https://huggingface.co/bartowski/kunoichi-lemon-royale-v2-32K-7B-exl2/tree/5_0) | 5.0 | 6.0 | 6.0 GB | 7.4 GB |  9.4 GB | Slightly lower quality vs 6.5, but usable on 8GB cards. |
-| [4_25](https://huggingface.co/bartowski/kunoichi-lemon-royale-v2-32K-7B-exl2/tree/4_25) | 4.25 | 6.0 | 5.3 GB | 6.7 GB | 8.7 GB | GPTQ equivalent bits per weight, slightly higher quality. |
-| [3_5](https://huggingface.co/bartowski/kunoichi-lemon-royale-v2-32K-7B-exl2/tree/3_5) | 3.5 | 6.0 | 4.7 GB | 6.1 GB | 8.1 GB | Lower quality, only use if you have to. |
+### Configuration
 
-## Download instructions
+The following YAML configuration was used to produce this model:
 
-With git:
+```yaml
+base_model: grimjim/Mistral-7B-Instruct-demi-merge-v0.2-7B
+dtype: bfloat16
+merge_method: task_arithmetic
+slices:
+- sources:
+  - layer_range: [0, 32]
+    model: grimjim/Mistral-7B-Instruct-demi-merge-v0.2-7B
+  - layer_range: [0, 32]
+    model: grimjim/kunoichi-lemon-royale-7B
+    parameters:
+      weight: 1.00
 
-```shell
-git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/kunoichi-lemon-royale-v2-32K-7B-exl2 kunoichi-lemon-royale-v2-32K-7B-exl2-6_5
 ```
-
-With huggingface hub (credit to TheBloke for instructions):
-
-```shell
-pip3 install huggingface-hub
-```
-
-To download a specific branch, use the `--revision` parameter. For example, to download the 6.5 bpw branch:
-
-Linux:
-
-```shell
-huggingface-cli download bartowski/kunoichi-lemon-royale-v2-32K-7B-exl2 --revision 6_5 --local-dir kunoichi-lemon-royale-v2-32K-7B-exl2-6_5 --local-dir-use-symlinks False
-```
-
-Windows (which apparently doesn't like _ in folders sometimes?):
-
-```shell
-huggingface-cli download bartowski/kunoichi-lemon-royale-v2-32K-7B-exl2 --revision 6_5 --local-dir kunoichi-lemon-royale-v2-32K-7B-exl2-6.5 --local-dir-use-symlinks False
-```
-
-Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski

config.json

@@ -0,0 +1,37 @@
+{
+    "_name_or_path": "grimjim/Mistral-7B-Instruct-demi-merge-v0.2-7B",
+    "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,
+    "rms_norm_eps": 1e-05,
+    "rope_theta": 100000.0,
+    "sliding_window": null,
+    "tie_word_embeddings": false,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.39.2",
+    "use_cache": true,
+    "vocab_size": 32000,
+    "quantization_config": {
+        "quant_method": "exl2",
+        "version": "0.0.21",
+        "bits": 8.0,
+        "head_bits": 8,
+        "calibration": {
+            "rows": 100,
+            "length": 2048,
+            "dataset": "(default)"
+        }
+    }
+}

mergekit_config.yml

@@ -0,0 +1,11 @@
+base_model: grimjim/Mistral-7B-Instruct-demi-merge-v0.2-7B
+dtype: bfloat16
+merge_method: task_arithmetic
+slices:
+- sources:
+  - layer_range: [0, 32]
+    model: grimjim/Mistral-7B-Instruct-demi-merge-v0.2-7B
+  - layer_range: [0, 32]
+    model: grimjim/kunoichi-lemon-royale-7B
+    parameters:
+      weight: 1.00

model.safetensors.index.json

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