Safetensors
GGUF
qwen2
conversational
How to use from
llama.cpp
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf fengjay01/Qwen2-0.5B-Colab:F16
# Run inference directly in the terminal:
llama cli -hf fengjay01/Qwen2-0.5B-Colab:F16
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf fengjay01/Qwen2-0.5B-Colab:F16
# Run inference directly in the terminal:
llama cli -hf fengjay01/Qwen2-0.5B-Colab:F16
Use pre-built binary
# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf fengjay01/Qwen2-0.5B-Colab:F16
# Run inference directly in the terminal:
./llama-cli -hf fengjay01/Qwen2-0.5B-Colab:F16
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf fengjay01/Qwen2-0.5B-Colab:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf fengjay01/Qwen2-0.5B-Colab:F16
Use Docker
docker model run hf.co/fengjay01/Qwen2-0.5B-Colab:F16
Quick Links

使用Colab平台对Qwen2-0.5b进行微调测试

数据集:Roselia-penguin/Chinese-medical-dialogue-sample
微调工具:Unsloth
基础模型:unsloth/Qwen2-0.5B

PS:数据集以及基础模型直接在HuggingFace上搜索即可。
微调的代码与unsloth/Qwen2-0.5B基础模型提供的代码一致

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GGUF
Model size
0.5B params
Architecture
qwen2
Hardware compatibility
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Dataset used to train fengjay01/Qwen2-0.5B-Colab