Instructions to use baa-ai/Qwen3.5-122B-A10B-RAM-100GB-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-100GB-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-100GB-MLX baa-ai/Qwen3.5-122B-A10B-RAM-100GB-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
Seems less bright than
#1
by lobanov - opened
Just to report that the model seems less bright than qwen3.5-122b-a10b:Q4_K_XL by Unsloth with about 79GB footprint. The latter was able to build an app from a spec without any issues in one shot, while this model routinely got tripped by hanging commands launched in foreground or incorrect use of express JS API. I ran this model with oMLX using default settings.