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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).

It should be used for enterprise tasks that involve reasoning and text comprehension.

This model is trained on a private dataset + [Mihaiii/OpenHermes-2.5-1k-longest-curated](https://huggingface.co/datasets/Mihaiii/OpenHermes-2.5-1k-longest-curated), which is a subset of [HuggingFaceH4/OpenHermes-2.5-1k-longest](https://huggingface.co/datasets/HuggingFaceH4/OpenHermes-2.5-1k-longest), which is a subset of [teknium/OpenHermes-2.5](https://huggingface.co/datasets/teknium/OpenHermes-2.5).

The high GSM8K score is **NOT** because of the MetaMath dataset. 

# Prompt Format:

```
SYSTEM: <ANY SYSTEM CONTEXT>
USER: 
ASSISTANT:
```

GGUF:

[tsunemoto/Bucharest-0.2-GGUF](https://huggingface.co/tsunemoto/Bucharest-0.2-GGUF)
{"license": "apache-2.0", "datasets": ["Mihaiii/OpenHermes-2.5-1k-longest-curated"], "metrics": ["accuracy"], "base_model": "migtissera/Tess-10.7B-v1.5b", "inference": false}
transformers safetensors llama text-generation conversational dataset:Mihaiii/OpenHermes-2.5-1k-longest-curated base_model:migtissera/Tess-10.7B-v1.5b license:apache-2.0 autotrain_compatible text-generation-inference region:us