Instructions to use RuiSumida/Qwen3.5-4B-6bit-text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use RuiSumida/Qwen3.5-4B-6bit-text with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download RuiSumida/Qwen3.5-4B-6bit-text --local-dir Qwen3.5-4B-6bit-text
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Qwen3.5-4B-6bit, text-only
The weights of mlx-community/Qwen3.5-4B-6bit with the vision tower removed.
- All 924
language_model.*tensors are byte-identical to the source (verified withmx.array_equalafter re-saving). - The 297
vision_tower.*tensors (667 MB) are dropped. mlx-swift-lm's textQwen35model discards those keys on load anyway, so text generation is unchanged; this repack only saves the download and disk space (4.09 GB → 3.42 GB). config.json, tokenizer files andchat_template.jinjaare copied unchanged. Image input is not supported.
Built for the Luke iPhone app (on-device chat, MLX).
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Model size
4B params
Tensor type
U32
·
BF16 ·
F32 ·
Hardware compatibility
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6-bit
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mlx-community/Qwen3.5-4B-6bit