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.
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