---
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

- **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)