Metis-0.1 / README.md
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metadata
base_model: HuggingFaceH4/mistral-7b-sft-beta
inference: false
license: mit
license_name: mit
metrics:
  - accuracy

Built with Axolotl

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:
{system_message}
### Instruction:
{prompt}
### Response: