How to use from
llama.cppInstall from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf llmware/qwen2.5-vl-3b-instruct-gguf:Q4_K_M# Run inference directly in the terminal:
llama cli -hf llmware/qwen2.5-vl-3b-instruct-gguf:Q4_K_MUse 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 llmware/qwen2.5-vl-3b-instruct-gguf:Q4_K_M# Run inference directly in the terminal:
./llama-cli -hf llmware/qwen2.5-vl-3b-instruct-gguf:Q4_K_MBuild 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 llmware/qwen2.5-vl-3b-instruct-gguf:Q4_K_M# Run inference directly in the terminal:
./build/bin/llama-cli -hf llmware/qwen2.5-vl-3b-instruct-gguf:Q4_K_MUse Docker
docker model run hf.co/llmware/qwen2.5-vl-3b-instruct-gguf:Q4_K_MQuick Links
qwen2.5-vl-3b-instruct-gguf
qwen2.5-vl-3b-instruct-gguf is a GGUF Q4_K_M quantized version of [Qwen2.5-VL-Instruct](https://www.huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct, providing a fast, small inference implementation, optimized for AI PCs.
Model Description
- Developed by: Qwen
- Quantized by: unsloth
- Model type: qwen2vl
- Parameters: 3 billion
- Model Parent: Qwen/Qwen2.5-VL-3B-Instruct
- Language(s) (NLP): English
- License: Apache 2.0
- Uses: Chat, general-purpose LLM
- Quantization: int4
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Base model
Qwen/Qwen2.5-VL-3B-Instruct
Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf llmware/qwen2.5-vl-3b-instruct-gguf:Q4_K_M# Run inference directly in the terminal: llama cli -hf llmware/qwen2.5-vl-3b-instruct-gguf:Q4_K_M