Qwen2.5-Coder-14B-Instruct-reason-gguf/README.md

base_model, tags, license, language, datasets

base_model	tags	license	language	datasets
unsloth/qwen2.5-coder-14b-instruct-bnb-4bit	text-generation-inference transformers unsloth qwen2 gguf	apache-2.0	en	openai/gsm8k

My Reasoning Model

System Prompt Format

Respond in the following format:

<reasoning>
...
</reasoning>
<answer>
...
</answer>

I fine-tuned the model using openai/gsm8k, and to ensure costs do not go insane, I used a single A100.

Enjoy, but please note that this model is experimental and I used it to define my pipeline.

I will be testing fine tuning larger more capable models.  I suspect they would add more value in the short term.


---

# Uploaded  model

- **Developed by:** dbands
- **License:** apache-2.0
- **Finetuned from model :** unsloth/qwen2.5-coder-14b-instruct-bnb-4bit

This qwen2 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)