Instructions to use Jundot/Qwen3.8-Flash-Next-oQ4e-mtp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Jundot/Qwen3.8-Flash-Next-oQ4e-mtp with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwen3.8-Flash-Next-oQ4e-mtp Jundot/Qwen3.8-Flash-Next-oQ4e-mtp
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Can we also have FP16 for M1 max and M2 max family? Thank you so much.
#1
by mastervivi - opened
Can we also have FP16 for M1 max and M2 max family? Thank you so much. We really appreciate a lot ❣️
I've run a conversion of this quant to fp16 using a script derived from clone_mlx_model_fp16.py, and uploaded it here
I've run a conversion of this quant to fp16 using a script derived from clone_mlx_model_fp16.py, and uploaded it here
I downloaded this to try it out on my M1 Ultra, but I got a substantial drop in performance, from ~18.5 tok/s down to ~9.7 tok/s, so I cannot recommend using monroewilliam's conversion