How to use AXERA-TECH/Qwen3-ASR-1.7B-AX8860-llama.cpp with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf AXERA-TECH/Qwen3-ASR-1.7B-AX8860-llama.cpp:Q8_0 # Run inference directly in the terminal: llama cli -hf AXERA-TECH/Qwen3-ASR-1.7B-AX8860-llama.cpp:Q8_0
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf AXERA-TECH/Qwen3-ASR-1.7B-AX8860-llama.cpp:Q8_0 # Run inference directly in the terminal: llama cli -hf AXERA-TECH/Qwen3-ASR-1.7B-AX8860-llama.cpp:Q8_0
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf AXERA-TECH/Qwen3-ASR-1.7B-AX8860-llama.cpp:Q8_0 # Run inference directly in the terminal: ./build/bin/llama cli -hf AXERA-TECH/Qwen3-ASR-1.7B-AX8860-llama.cpp:Q8_0
docker model run hf.co/AXERA-TECH/Qwen3-ASR-1.7B-AX8860-llama.cpp:Q8_0
How to use AXERA-TECH/Qwen3-ASR-1.7B-AX8860-llama.cpp with Ollama:
ollama run hf.co/AXERA-TECH/Qwen3-ASR-1.7B-AX8860-llama.cpp:Q8_0
How to use AXERA-TECH/Qwen3-ASR-1.7B-AX8860-llama.cpp with Docker Model Runner:
How to use AXERA-TECH/Qwen3-ASR-1.7B-AX8860-llama.cpp with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull AXERA-TECH/Qwen3-ASR-1.7B-AX8860-llama.cpp:Q8_0
lemonade run user.Qwen3-ASR-1.7B-AX8860-llama.cpp-Q8_0
lemonade list
