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shi3z/DeepSeek-V4-Pro-Qwen3.5-9B-UNCENSORED-heretic-MLX-4bit

shi3z Deepseek 9B second-order
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created 2026-11-09

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This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

Metadata

License
apache-2.0
Languages
en zh ko ja es ru
Tags
mlx safetensors qwen3_5 4-bit uncensored heretic text-generation conversational en zh ko ja

Related

Total size
4.69 GB
Files
9
Quantizations
1
Registered
2026-11-09 04:02
Last updated on HF
2026-11-09 03:04

Files by quantization

Auxiliary files 9 files 4.71 GB
model.safetensors 4.69 GB 81a2c461 download
tokenizer.json 19.1 MB a5cd9732 download
model.safetensors.index.json 79.3 KB a155f5eb download
chat_template.jinja 8.53 KB 3318462a download
config.json 3.08 KB 3afaac5a download
.gitattributes 1.53 KB 52373fe2 download
tokenizer_config.json 1.53 KB 338ef614 download
README.md 1.21 KB cb86a10a download
generation_config.json 142 B 79b5436a download

README current version from Hugging Face


license: apache-2.0
language:

  • en
  • zh
  • ko
  • ja
  • es
  • ru
    library_name: mlx
    pipeline_tag: text-generation
    base_model: xtools-at/DeepSeek-V4-Pro-Qwen3.5-9B-UNCENSORED-heretic
    tags:
  • mlx
  • 4-bit
  • qwen3_5
  • uncensored
  • heretic

DeepSeek-V4-Pro-Qwen3.5-9B-UNCENSORED-heretic (MLX 4-bit)

MLX 4-bit quantization of xtools-at/DeepSeek-V4-Pro-Qwen3.5-9B-UNCENSORED-heretic
(itself derived from Jackrong/DeepSeek-V4-Pro-Qwen3.5-9B). Licensed under Apache-2.0 like the original; all credit for the model goes to the original authors.

  • Quantization: 4-bit, group size 64 (about 4.5 bits per weight), 4.7 GB
  • Converted with mlx-lm 0.32.2 (mlx_lm.convert, quantized on CPU)
  • Text-only: the vision tower and the MTP (speculative decoding) weights were not carried over
  • Uncensored ("heretic"/abliterated) variant. Use at your own risk.

Usage

pip install -U mlx-lm
python -m mlx_lm generate --model shi3z/DeepSeek-V4-Pro-Qwen3.5-9B-UNCENSORED-heretic-MLX-4bit --prompt "Hello"

To use it as the backend for Claude Code, see https://github.com/shi3z/mightyCode

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