
[<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)

An instruct based fine tune of [migtissera/Tess-XS-v1-3-yarn-128K](https://huggingface.co/migtissera/Tess-XS-v1-3-yarn-128K).

It works well with long system prompts.

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.

This model is trained on a private dataset. The high GSM8K score is **NOT** because of the MetaMath dataset. 

# Prompt Format:

```
SYSTEM: <ANY SYSTEM CONTEXT>
USER: 
ASSISTANT:
```
{"license": "apache-2.0", "metrics": ["accuracy"], "base_model": "migtissera/Tess-XS-v1-3-yarn-128K"}
transformers safetensors mistral text-generation custom_code base_model:migtissera/Tess-XS-v1-3-yarn-128K license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us