Upload README.md with huggingface_hub

README.md

@@ -0,0 +1,61 @@
+
+---
+
+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
+
+---
+
+[![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)](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)