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---
base_model: unsloth/meta-llama-3.1-8b-instruct-unsloth-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
- grpo
license: apache-2.0
language:
- en
datasets:
- theprint/PyRe
---
# PyRe is Experimental
Please note that this model is a WIP experiment into GRPO fine tuning on Python code problems for reasoning. The performance of this model varies greatly depending on task, prompt and parameters.
I recommend a very low temperature, like 0.1. You may also see more consistent results by encouraging the use of `<think>` and `<answer>` tags in the system prompt.
### Example System Prompt
```
Think through complex problems carefully, before giving the user your final answer. Use <think> and </think> to encapsulate your thoughts.
```
# Uploaded model
- **Developed by:** theprint
- **License:** apache-2.0
- **Finetuned from model :** unsloth/meta-llama-3.1-8b-instruct-unsloth-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) |