license: apache-2.0
base_model: DavidAU/Qwen3.6-27B-Heretic2-Uncensored-Finetune-Thinking
pipeline_tag: text-generation
library_name: mlx
tags:

• mlx
• optiq
• mixed-precision
• qwen3.6
• uncensored
• creative writing

Qwen3.6-27B-Heretic2-Uncensored-Finetune-Thinking-OptiQ-4bit

An OptiQ mixed-precision quantization of
DavidAU/Qwen3.6-27B-Heretic2-Uncensored-Finetune-Thinking,
built for Apple Silicon with MLX.

OptiQ assigns a per-layer bit-width (4-bit or 8-bit here) instead of quantizing
every layer the same, so the layers that need the precision keep it.

• Method: OptiQ data-driven mixed precision (optiq_mixed_precision)
• Average: ~5.6 bits per weight (220 layers at 8-bit, 276 at 4-bit)
• Architecture: qwen3_5 (Qwen3.6-27B)
• Reasoning: this is a thinking model; append :think / :no-think to the
  model id, or set enable_thinking in the chat template, to control the
  thinking channel

The per-layer allocation is reused from
mlx-community/Qwen3.6-27B-OptiQ-4bit,
which shares the same Qwen3.6-27B architecture, so no separate sensitivity pass
was run for this fine-tune. This is a text-only quant of the language tower.

Use

pip install mlx-optiq
optiq serve --model mlx-community/Qwen3.6-27B-Heretic2-Uncensored-Finetune-Thinking-OptiQ-4bit

Or load it directly with mlx_lm:

from mlx_lm import load, generate
model, tokenizer = load("mlx-community/Qwen3.6-27B-Heretic2-Uncensored-Finetune-Thinking-OptiQ-4bit")

See mlx-optiq.com for the CLI, the local Lab UI, and the
OptiQ Code agent. The base model and its behavior are DavidAU's; this repo only
changes the quantization.