Instructions to use jedisct1/Qwen3.6-35B-go-v2-4bit.mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use jedisct1/Qwen3.6-35B-go-v2-4bit.mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download jedisct1/Qwen3.6-35B-go-v2-4bit.mlx --local-dir Qwen3.6-35B-go-v2-4bit.mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download generation_config.json from jedisct1/Qwen3.6-35B-go-v2-4bit.mlx: direct link, hf CLI and curl.
- Browser
- Download file 248 Bytes
-
https://huggingface.co/jedisct1/Qwen3.6-35B-go-v2-4bit.mlx/resolve/main/generation_config.json
- Command line
-
hf download hf://jedisct1/Qwen3.6-35B-go-v2-4bit.mlx/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/jedisct1/Qwen3.6-35B-go-v2-4bit.mlx/resolve/main/generation_config.json
248 Bytes
| { | |
| "bos_token_id": 248044, | |
| "do_sample": true, | |
| "eos_token_id": [ | |
| 248046, | |
| 248044 | |
| ], | |
| "pad_token_id": 248044, | |
| "temperature": 0.7, | |
| "top_k": 20, | |
| "top_p": 0.8, | |
| "min_p": 0.0, | |
| "repetition_penalty": 1.0, | |
| "presence_penalty": 1.5 | |
| } |