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--- |
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base_model: |
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- SanjiWatsuki/Kunoichi-DPO-v2-7B |
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- Epiculous/Fett-uccine-Long-Noodle-7B-120k-Context |
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library_name: transformers |
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tags: |
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- mistral |
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- quantized |
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- text-generation-inference |
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- merge |
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- mergekit |
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pipeline_tag: text-generation |
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inference: false |
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--- |
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# **GGUF-Imatrix quantizations for [Kunocchini-7b-128k-test](https://huggingface.co/Test157t/Kunocchini-7b-128k-test/).** |
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## *This has been my personal favourite and daily-driver role-play model for a while, so I decided to make new quantizations for it using the full F16-Imatrix data.* |
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SillyTavern preset files are located [here](https://huggingface.co/Test157t/Kunocchini-7b-128k-test/tree/main/ST%20presets). |
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*If you want any specific quantization to be added, feel free to ask.* |
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All credits belong to the [creator](https://huggingface.co/Test157t/). |
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`Base⇢ GGUF(F16)⇢ GGUF(Quants)` |
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The new **IQ3_S** merged today has shown to be better than the old Q3_K_S, so I added that instead of the later. Only supported in `koboldcpp-1.59` or higher. |
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Using [llama.cpp](https://github.com/ggerganov/llama.cpp/)-[b2254](https://github.com/ggerganov/llama.cpp/releases/tag/b2254). |
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For --imatrix data, `imatrix-Kunocchini-7b-128k-test-F16.dat` was used. |
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# Original model information: |
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Thanks to @Epiculous for the dope model/ help with llm backends and support overall. |
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Id like to also thank @kalomaze for the dope sampler additions to ST. |
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@SanjiWatsuki Thank you very much for the help, and the model! |
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ST users can find the TextGenPreset in the folder labeled so. |
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The following models were included in the merge: |
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* [SanjiWatsuki/Kunoichi-DPO-v2-7B](https://huggingface.co/SanjiWatsuki/Kunoichi-DPO-v2-7B) |
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* [Epiculous/Fett-uccine-Long-Noodle-7B-120k-Context](https://huggingface.co/Epiculous/Fett-uccine-Long-Noodle-7B-120k-Context) |
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### Configuration |
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The following YAML configuration was used to produce this model: |
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```yaml |
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slices: |
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- sources: |
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- model: SanjiWatsuki/Kunoichi-DPO-v2-7B |
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layer_range: [0, 32] |
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- model: Epiculous/Fett-uccine-Long-Noodle-7B-120k-Context |
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layer_range: [0, 32] |
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merge_method: slerp |
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base_model: SanjiWatsuki/Kunoichi-DPO-v2-7B |
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parameters: |
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t: |
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- filter: self_attn |
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value: [0, 0.5, 0.3, 0.7, 1] |
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- filter: mlp |
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value: [1, 0.5, 0.7, 0.3, 0] |
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- value: 0.5 |
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dtype: bfloat16 |
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``` |
