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