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--- |
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base_model: migtissera/Tess-34B-v1.4 |
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inference: false |
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license: other |
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license_name: yi-license |
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license_link: https://huggingface.co/01-ai/Yi-34B/blob/main/LICENSE |
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metrics: |
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- accuracy |
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--- |
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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl) |
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An instruct based fine tune of [migtissera/Tess-34B-v1.4](https://huggingface.co/migtissera/Tess-34B-v1.4). |
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It works well with long system prompts. |
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It isn't generic in a sense that it shouldn't be used for story telling, for example, but only for reasoning and text comprehension. |
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This model is trained on a private dataset. The high GSM8K score is **NOT** because of the MetaMath dataset. |
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# Prompt Format: |
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``` |
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SYSTEM: <ANY SYSTEM CONTEXT> |
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USER: |
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ASSISTANT: |
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``` |
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Quants: |
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[TheBloke/Pallas-0.5-GGUF](https://huggingface.co/TheBloke/Pallas-0.5-GGUF) |
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[TheBloke/Pallas-0.5-AWQ](https://huggingface.co/TheBloke/Pallas-0.5-AWQ) |
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[TheBloke/Pallas-0.5-GPTQ](https://huggingface.co/TheBloke/Pallas-0.5-GPTQ) |
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[LoneStriker/Pallas-0.5-3.0bpw-h6-exl2](https://huggingface.co/LoneStriker/Pallas-0.5-3.0bpw-h6-exl2) |
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[LoneStriker/Pallas-0.5-4.0bpw-h6-exl2](https://huggingface.co/LoneStriker/Pallas-0.5-4.0bpw-h6-exl2) |
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[LoneStriker/Pallas-0.5-4.65bpw-h6-exl2](https://huggingface.co/LoneStriker/Pallas-0.5-4.65bpw-h6-exl2) |
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[LoneStriker/Pallas-0.5-5.0bpw-h6-exl2](https://huggingface.co/LoneStriker/Pallas-0.5-5.0bpw-h6-exl2) |
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[LoneStriker/Pallas-0.5-6.0bpw-h6-exl2](https://huggingface.co/LoneStriker/Pallas-0.5-6.0bpw-h6-exl2) |
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[LoneStriker/Pallas-0.5-8.0bpw-h8-exl2](https://huggingface.co/LoneStriker/Pallas-0.5-8.0bpw-h8-exl2) |
