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--- |
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base_model: unsloth/qwen2.5-14b-bnb-4bit |
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tags: |
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- text-generation-inference |
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- transformers |
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- unsloth |
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- qwen2 |
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- trl |
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- sft |
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license: apache-2.0 |
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language: |
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- en |
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datasets: |
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- qingy2024/QwQ-LongCoT-Verified-130K |
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--- |
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[](https://hf.co/QuantFactory) |
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# QuantFactory/QwQ-14B-Math-v0.2-GGUF |
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This is quantized version of [qingy2024/QwQ-14B-Math-v0.2](https://huggingface.co/qingy2024/QwQ-14B-Math-v0.2) created using llama.cpp |
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# Original Model Card |
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# Uploaded model |
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- **Developed by:** qingy2024 |
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- **License:** apache-2.0 |
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- **Finetuned from model :** unsloth/qwen2.5-14b-bnb-4bit |
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This model is a fine-tuned version of **Qwen 2.5-14B**, trained on QwQ 32B Preview's responses to questions from the **NuminaMathCoT** dataset. |
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**Note:** This model uses the standard ChatML template. |
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At 500 steps, the loss was plateauing so I decided to stop training to prevent excessive overfitting. |
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#### Training Details |
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- **Base Model**: Qwen 2.5-14B |
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- **Fine-Tuning Dataset**: Verified subset of **NuminaMathCoT** using Qwen 2.5 3B Instruct as a judge. (the `sharegpt-verified-cleaned` subset from my dataset). |
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- **QLoRA Configuration**: |
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- **Rank**: 32 |
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- **Rank Stabilization**: Enabled |
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- **Optimization Settings**: |
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- Batch Size: 8 |
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- Gradient Accumulation Steps: 2 (Effective Batch Size: 16) |
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- Warm-Up Steps: 5 |
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- Weight Decay: 0.01 |
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- **Training Steps**: 500 steps |
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- **Hardware Information**: A100-80GB |
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) |
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