license: apache-2.0
base_model:
- AEON-7/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-BF16
base_model_relation: quantized
library_name: mlx
pipeline_tag: image-text-to-text
tags: - mlx
- mxfp4
- qwen3.5
- qwen3.8
- abliterated
- experimental
- mlx-vlm
- vision
qwen3.8-27b-aeon-ultimate-uncensored-mxfp4-vision-mlx
Independent MXFP4 MLX conversion of
AEON-7/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-BF16, pinned at a6775a9a8ebb65cab3f707b4ab087fc7aa698634.
This is a community conversion, not an official AEON-7 or Qwen release.
Format
- Language quantization: MXFP4, 4-bit, group size 32
- Vision: 333 source BF16 tensors preserved; patch embedding converted to MLX axes
- Indexed artifact size: 14.19 GiB
- Architecture: dense Qwen3.5-family hybrid attention/GDN, 64 language layers
- Configured context: 262,144 tokens (not exhaustively qualified here)
- Tokenizer, chat template, processor metadata, and Apache-2.0 lineage preserved
This standard MLX artifact deliberately contains no MTP sidecar or active MTP metadata.
Qualification and limitations
- Pinned source metadata and all safetensors headers were checked.
- Quantization used the fixture-matched Qwen3.5 streaming adapter from MLX-LM 0.31.3.
- MXFP4 and MXFP8 were each produced directly from the same BF16 parent.
- Structural inspection and strict local load are required release gates.
This is an experimental quantization of an abliterated, intentionally unaligned
checkpoint. Quantization does not restore safety alignment. The source publisher
warns that the model can produce unsafe or illegal material and places downstream
safety and legal responsibility on operators. Review the
source model card before use and add access
controls, logging, moderation, and human review appropriate to your deployment.
Basic use
python -m mlx_vlm.generate --model <repo-or-path> --image image.jpg --prompt "Describe this image." --max-tokens 256