Instructions to use AbstractFramework/flux.2-klein-base-4b-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use AbstractFramework/flux.2-klein-base-4b-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir flux.2-klein-base-4b-4bit AbstractFramework/flux.2-klein-base-4b-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
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license: apache-2.0
base_model: black-forest-labs/FLUX.2-klein-base-4B
pipeline_tag: text-to-image
library_name: mlx-gen
tags:
- mlx
- mlx-gen
- mflux
- apple-silicon
- 4-bit
- flux
- flux2
---
# flux.2-klein-base-4b-4bit
This repository contains MLX-Gen saved weights for `black-forest-labs/FLUX.2-klein-base-4B`. The checkpoint is designed for local Apple Silicon inference with [`mlx-gen`](https://github.com/lpalbou/mlx-gen).
It uses the mflux/MLX saved-weight layout and MLX quantization tensors. It is not a Diffusers or Transformers `from_pretrained()` checkpoint.
## Source Model
Original model: [`black-forest-labs/FLUX.2-klein-base-4B`](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-4B).
## License and Access
This quantized derivative follows the Apache 2.0 license of the source model.
## Quantization
This is an MLX 4-bit checkpoint. Model-specific quantization predicates may keep unsupported layers unquantized or at a different precision. See the [MLX-Gen quantization docs](https://github.com/lpalbou/mlx-gen/blob/main/docs/quantization.md) for compatibility notes.
## Compatibility
Requires `mlx-gen >= 0.18.2`.
Generated with `mlx-gen 0.18.2`.
Use the `mlxgen` command and Python import path for new MLX-Gen projects.
## Usage
```bash
python -m pip install -U mlx-gen
mlxgen download --model AbstractFramework/flux.2-klein-base-4b-4bit
mlxgen generate \
--model AbstractFramework/flux.2-klein-base-4b-4bit \
--prompt "Your prompt here" \
--steps 20 \
--seed 42 \
--output image.png
```
## Attribution
MLX-Gen is based on [mflux](https://github.com/filipstrand/mflux) by Filip Strand and the original mflux contributors. This model card is generated by MLX-Gen so derived checkpoints keep that attribution visible.
Quantized and contributed by [@lpalbou](https://huggingface.co/lpalbou).
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