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