Qwen3.8-27B-ABLITERATED — 2-bit MLX TextOnly
This is a 2-bit MLX TextOnly quantization of Blackfrost-AI/Qwen3.8-27B-ABLITERATED-BF16, optimized for inference on Apple Silicon.
Quantization
- Format: MLX
- Quantization: 2-bit affine
- Group size: 64
- Vision tower: removed
- Runtime:
mlx-lm - Base model:
Blackfrost-AI/Qwen3.8-27B-ABLITERATED-BF16
The language-model weights were converted to MLX and quantized to 2-bit. The vision components of the original multimodal model are not included, making this release TextOnly and reducing memory requirements.
Usage
Install MLX LM:
pip install -U mlx-lm
Run:
mlx_lm.generate \
--model EgorKodin/Qwen3.8-27B-ABLITERATED-2bit-MLX-TextOnly \
--prompt "Hello! Explain quantization briefly." \
--max-tokens 512
To disable thinking when supported by the model's chat template:
mlx_lm.generate \
--model EgorKodin/Qwen3.8-27B-ABLITERATED-2bit-MLX-TextOnly \
--prompt "Hello!" \
--max-tokens 512 \
--chat-template-config '{"enable_thinking": false}'
Notes
2-bit quantization is aggressive and prioritizes low memory usage and compact model size. Depending on the task, quality may be lower than the 3-bit or higher-bit versions.
Credits
Original model:
Blackfrost-AI/Qwen3.8-27B-ABLITERATED-BF16
This repository provides an MLX quantization/conversion of the original model. Credit for the underlying model and abliteration work belongs to the original authors.