Instructions to use abnormalmapstudio/Qwen3-Omni-30B-A3B-Thinking-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-Thinking-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-Thinking-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-Thinking-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-Thinking-mxfp4-mlx" --prompt "Once upon a time"
- Xet hash:
- c3aaf9d057f08aeeae2a243045eb90cfae760dc178bc429ae5afae5cbd433459
- Size of remote file:
- 5.3 GB
- SHA256:
- ccf102332ec7ef44a68dfb13d4708087766e497c3569169a46222c3a23aed8ef
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