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README.md
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---
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base_model: migtissera/Tess-XS-v1-3-yarn-128K
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license: apache-2.0
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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-XS-v1-3-yarn-128K](https://huggingface.co/migtissera/Tess-XS-v1-3-yarn-128K).
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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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