--- language: - en license: apache-2.0 tags: - text-generation-inference - transformers - unsloth - llama - trl - sft base_model: unsloth/llama-3-8b-bnb-4bit --- # Llama 3 finetuned on my TRRR-CoT Dataset **cookinai/TRRR-CoT** - This was an attempt at synthetically generating a CoT dataset and then finetuning it on a model to see its reuslts. - From what I notice, when using the correct prompt template the model almost always ues the TRRR format, but I am still awaiting benchmark tests to see if this can improve anything - TRR stand for: 1. **Think**, about your response 2. **Respond**, how you normally would 3. **Reflect**, on your response 4. **Respond**, again but this time use all the information you have now - The mode usually tries to follow this format, it may mix it up a little but usually it almost always reflects in someway. Especially if you tell it to think step by step - Intrestingly enough, when finetuned on mistral 7b, I could not get the model CoT at all, with only one epoch llama 3 got it instantly - **Developed by:** cookinai - **License:** apache-2.0 - **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. [](https://github.com/unslothai/unsloth)