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--- |
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base_model: |
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- NousResearch/Yarn-Mistral-7b-128k |
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- Test157t/Kunocchini-1.1-7b |
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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 [Test157t/Kunocchini-1.2-7b-longtext](https://huggingface.co/Test157t/Kunocchini-1.2-7b-longtext/).** |
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## "NOTES: This model seems to be overtly confident leading to hallucinations, normalization has seemed to also break the long context chaining. I do not recommend this model." Use the previous, Kunoccini-7B-128k-test, in [**this collection**](https://huggingface.co/collections/Lewdiculous/quantized-models-gguf-65d8399913d8129659604664). |
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SillyTavern preset files for the previous version 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)⇢ Imatrix(F16)⇢ GGUF-Imatrix(Quants)` |
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The new **IQ3_S** merged today has shown to be better than the old Q3_K_S, but will only be supported in `koboldcpp-1.60` or newer. |
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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-1.2-7b-longtext-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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This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708). |
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### Models Merged |
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The following models were included in the merge: |
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* [NousResearch/Yarn-Mistral-7b-128k](https://huggingface.co/NousResearch/Yarn-Mistral-7b-128k) + [Test157t/Kunocchini-1.1-7b](https://huggingface.co/Test157t/Kunocchini-1.1-7b) |
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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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merge_method: dare_ties |
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base_model: Test157t/Kunocchini-1.1-7b |
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parameters: |
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normalize: true |
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models: |
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- model: NousResearch/Yarn-Mistral-7b-128k |
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parameters: |
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weight: 1 |
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- model: Test157t/Kunocchini-1.1-7b |
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parameters: |
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weight: 1 |
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dtype: float16 |
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``` |
