Instructions to use baa-ai/Qwen3.5-122B-A10B-RAM-48GB-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use baa-ai/Qwen3.5-122B-A10B-RAM-48GB-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwen3.5-122B-A10B-RAM-48GB-MLX baa-ai/Qwen3.5-122B-A10B-RAM-48GB-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Works phenomenally π
#1
by McG-221 - opened
After loading with LM Studio, only about 44.5 GB in unified memory... basically a healthy amount of space left for KV cache.
The smarts I specifically was looking for are intact! That's a win, as this MLX quant is around 42% faster than the unsloth GGUF I used previously π
Thanks again, much appreciated!