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evalstate/demo-qwen-sft-gguf
demo-qwen-sft-gguf is a machine learning model from evalstate. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This is a GGUF conversion of evalstate/demo-qwen-sft, which is a LoRA fine-tuned version of Qwen/Qwen2.5-0.5B.
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.gguf2.3 GB · 100%
From the Hugging Face model README
This is a GGUF conversion of evalstate/demo-qwen-sft, which is a LoRA fine-tuned version of Qwen/Qwen2.5-0.5B.
| File | Quant | Size | Description | Use Case |
|---|---|---|---|---|
| demo-qwen-sft-f16.gguf | F16 | ~1GB | Full precision | Best quality, slower |
| demo-qwen-sft-q8_0.gguf | Q8_0 | ~500MB | 8-bit | High quality |
| demo-qwen-sft-q5_k_m.gguf | Q5_K_M | ~350MB | 5-bit medium | Good quality, smaller |
| demo-qwen-sft-q4_k_m.gguf | Q4_K_M | ~300MB | 4-bit medium | Recommended - good balance |
# Download model
huggingface-cli download evalstate/demo-qwen-sft-gguf demo-qwen-sft-q4_k_m.gguf
# Run with llama.cpp
./llama-cli -m demo-qwen-sft-q4_k_m.gguf -p "Your prompt here"
Modelfile:FROM ./demo-qwen-sft-q4_k_m.gguf
ollama create my-model -f Modelfile
ollama run my-model
.gguf fileInherits the license from the base model: Qwen/Qwen2.5-0.5B
@misc{demo_qwen_sft_gguf,
author = {evalstate},
title = {demo-qwen-sft-gguf},
year = {2025},
publisher = {Hugging Face},
url = {https://huggingface.co/evalstate/demo-qwen-sft-gguf}
}
Converted to GGUF format using llama.cpp