LlamaReflect-8B-CoT

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 and Huggingface's TRL library.

<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>