Instructions to use augible/qwen3.5-2b-4bit-text-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use augible/qwen3.5-2b-4bit-text-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir qwen3.5-2b-4bit-text-mlx augible/qwen3.5-2b-4bit-text-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
Qwen3.5-2B — 4-bit MLX, text-only layout
The text decoder of Qwen/Qwen3.5-2B
(Apache-2.0), quantized to 4-bit with mlx-lm (group 64, affine) and re-keyed
to the qwen3_5_text layout (model.* tree) so mlx-swift-lm's
Qwen35TextModel + PEFT adapter loader consume it directly. The chat
template is pinned to non-thinking rendering. Base weights only — no
fine-tuning of any kind.
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Model size
0.3B params
Tensor type
BF16
·
U32 ·
F32 ·
Hardware compatibility
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4-bit
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