Qwen3-14B STEM Q&A (GGUF)
GGUF quantized version of Qwen3-14B fine-tuned for STEM Q&A tasks. Ready for use with Ollama, llama.cpp, LM Studio, and other GGUF-compatible tools.
Author: Khadim Hussain
Available Versions
| Model | Size | Description |
|---|---|---|
| qwen3-14b-stem-qa | ~117MB | LoRA adapter only |
| qwen3-14b-stem-qa-merged | ~28GB | Full merged model (bf16) |
| qwen3-14b-stem-qa-gguf | 9-30GB | GGUF quantized (this repo) |
Files
| Filename | Quant | Size | Description |
|---|---|---|---|
qwen3-14b-stem-qa-f16.gguf |
F16 | 29.5GB | Full 16-bit precision, best quality |
qwen3-14b-stem-qa-q4_k_m.gguf |
Q4_K_M | 9GB | 4-bit quantization, good balance of size/quality |
Usage with Ollama
# Download the GGUF file and Modelfile
# Then create and run:
ollama create qwen3-14b-stem -f Modelfile
ollama run qwen3-14b-stem
Modelfile
FROM ./qwen3-14b-stem-qa-q4_k_m.gguf
TEMPLATE """<|im_start|>system
You are a helpful assistant specialized in STEM subjects.<|im_end|>
<|im_start|>user
{{ .Prompt }}<|im_end|>
<|im_start|>assistant
"""
PARAMETER stop "<|im_end|>"
PARAMETER temperature 0.7
PARAMETER top_p 0.9
PARAMETER num_ctx 4096
PARAMETER num_predict 2048
Usage with llama.cpp
./llama-cli -m qwen3-14b-stem-qa-q4_k_m.gguf \
-p "<|im_start|>user\nWhat is DNA?<|im_end|>\n<|im_start|>assistant\n" \
-n 512
Usage with LM Studio
- Download
qwen3-14b-stem-qa-q4_k_m.gguf - Import into LM Studio
- Use the ChatML template
Training Details
| Metric | Value |
|---|---|
| Base Model | Qwen/Qwen3-14B |
| Train Loss | 0.461 |
| Eval Loss | 0.692 |
| Training Examples | 4,260 |
| Evaluation Examples | 474 |
Acknowledgments
- Qwen Team (Alibaba) - Qwen3-14B base model
- llama.cpp - GGUF format and tools
- Unsloth - Fine-tuning framework
- Hugging Face - TRL, PEFT, Transformers
Citation
If you use this model, please cite:
@misc{hussain2026qwen3-stem,
author = {Hussain, Khadim},
title = {Qwen3-14B STEM Q&A: Fine-tuned for Science Education},
year = {2026},
publisher = {Hugging Face},
url = {https://huggingface.co/khadim-hussain/qwen3-14b-stem-qa-gguf}
}
License
Apache 2.0 (inherited from Qwen3)
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Hardware compatibility
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