Automatic Speech Recognition
GGUF
Chinese
English
forced-alignment
word-timestamps
asr
qwen3
42model
conversational
Instructions to use 42ailab/Qwen3-ForcedAligner-0.6B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use 42ailab/Qwen3-ForcedAligner-0.6B-GGUF with 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 42ailab/Qwen3-ForcedAligner-0.6B-GGUF:F16 # Run inference directly in the terminal: llama cli -hf 42ailab/Qwen3-ForcedAligner-0.6B-GGUF:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf 42ailab/Qwen3-ForcedAligner-0.6B-GGUF:F16 # Run inference directly in the terminal: llama cli -hf 42ailab/Qwen3-ForcedAligner-0.6B-GGUF: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 42ailab/Qwen3-ForcedAligner-0.6B-GGUF:F16 # Run inference directly in the terminal: ./llama-cli -hf 42ailab/Qwen3-ForcedAligner-0.6B-GGUF: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 42ailab/Qwen3-ForcedAligner-0.6B-GGUF:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf 42ailab/Qwen3-ForcedAligner-0.6B-GGUF:F16
Use Docker
docker model run hf.co/42ailab/Qwen3-ForcedAligner-0.6B-GGUF:F16
- LM Studio
- Jan
- Ollama
How to use 42ailab/Qwen3-ForcedAligner-0.6B-GGUF with Ollama:
ollama run hf.co/42ailab/Qwen3-ForcedAligner-0.6B-GGUF:F16
- Unsloth Desktop
- Docker Model Runner
How to use 42ailab/Qwen3-ForcedAligner-0.6B-GGUF with Docker Model Runner:
docker model run hf.co/42ailab/Qwen3-ForcedAligner-0.6B-GGUF:F16
- Lemonade
How to use 42ailab/Qwen3-ForcedAligner-0.6B-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull 42ailab/Qwen3-ForcedAligner-0.6B-GGUF:F16
Run and chat with the model
lemonade run user.Qwen3-ForcedAligner-0.6B-GGUF-F16
List all available models
lemonade list
- Atomic Chat
- Xet hash:
- 4d202669f7ac51eeabc46b6aae45357ff7a8864dd4f34d312c2b1c4d41b54f8e
- Size of remote file:
- 20.5 MB
- SHA256:
- 8a3f5ed737b36838f078e585b8844d24a1492cf18a8a32c51092f384fc706d28
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.