Image text to text model with 9B parameters. Safetensors weights, 8.22 GB in all. Published by mlx-community under Apache-2.0. Changed from the base model.
Changed from the base model. The uploader's repo is named abliterated: refusal behavior was removed from xtools-at/DeepSeek-V4-Pro-Qwen3.5-9B-UNCENSORED-heretic by the uploader. Read the model card at the source for the method and the layers touched.
Base model: xtools-at/DeepSeek-V4-Pro-Qwen3.5-9B-UNCENSORED-heretic
Where these bytes come from
Publisher at the pinned commit→You
Sources are tried in order. A file counts only when its size and sha256 match the manifest. Sources are checked when you ask for them, not on a timer.
Sources
Badge
Host
Last check
Result
From source
huggingface.co
2026-11-15 05:11 UTC
passed
Model card
From the publisher at commit 7e60c1f. Shown as plain text with links; images open at the publisher.
Built with mlx-optiq, the MLX-native toolkit to quantize, fine-tune, and serve LLMs locally on Apple Silicon, no PyTorch and no cloud. All OptiQ quants · Docs
OptiQ mixed-precision quant of xtools-at/DeepSeek-V4-Pro-Qwen3.5-9B-UNCENSORED-heretic, an uncensored (heretic) version of a DeepSeek-V4-Pro reasoning distill into Qwen3.5-9B. It is a Qwen3.5-family vision-language model with a bundled MTP speculation head. 8.2 GB on disk.
Reused from the Qwen3.5-9B OptiQ recipe: the architecture is identical, so the per-layer sensitivity ranking transfers directly and no per-model sweep is needed
Layer split
116 components at 4-bit, 134 at 8-bit
Group size
64
On disk
8.2 GB
MTP
Speculation head preserved in optiq/mtp.safetensors
Vision
bf16 vision tower kept in optiq_vision.safetensors for image input
KV cache
Mixed-precision KV config in kv_config.json
Following the naming llama.cpp uses for its mixed quants, the "4bit" label denotes the family, not the weighted average.
Checked after conversion against the bf16 model on the same prompts (facts, arithmetic, code, explanation): the answers match.