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.

This GGUF is based on theprint/PyRe-3B-v2.

Uploaded model

Developed by: theprint
License: apache-2.0
Finetuned from model : unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit

This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.