Instructions to use abnormalmapstudio/Qwen3-Omni-30B-A3B-Instruct-mxfp4-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use abnormalmapstudio/Qwen3-Omni-30B-A3B-Instruct-mxfp4-mlx with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # if on a CUDA device, also pip install mlx[cuda] # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("abnormalmapstudio/Qwen3-Omni-30B-A3B-Instruct-mxfp4-mlx") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use abnormalmapstudio/Qwen3-Omni-30B-A3B-Instruct-mxfp4-mlx with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "abnormalmapstudio/Qwen3-Omni-30B-A3B-Instruct-mxfp4-mlx" --prompt "Once upon a time"
- Xet hash:
- 608ef4b985c84b9b14332014f36a0b502640fff280f3158898b741f2a0e8d6e6
- Size of remote file:
- 5.36 GB
- SHA256:
- 4cb8e44c39c13f29016aa97c2e63c04c4b2ee433ff6b71e67c30a6b75bd07676
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