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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-10.7B-v1.5b](https://huggingface.co/migtissera/Tess-10.7B-v1.5b).
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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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  [<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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+ The Bucharest series is mostly an experiment. Use Pallas series instead.
 
 
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+ An instruct based fine tune of [migtissera/Tess-10.7B-v1.5b](https://huggingface.co/migtissera/Tess-10.7B-v1.5b).
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+ This model is trained on a private dataset.
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  # Prompt Format:
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