Parameter	Value
direction_index	37.97
attn.o_proj.max_weight	1.45
attn.o_proj.max_weight_position	59.09
attn.o_proj.min_weight	1.44
attn.o_proj.min_weight_distance	34.80
mlp.down_proj.max_weight	1.43
mlp.down_proj.max_weight_position	41.91
mlp.down_proj.min_weight	0.72
mlp.down_proj.min_weight_distance	28.18

We suggest using the following sets of sampling parameters depending on the mode and task type:
- Thinking mode for general tasks:
  temperature=1.0, top_p=0.95, top_k=20, min_p=0.0, presence_penalty=1.5, repetition_penalty=1.0
- Thinking mode for precise coding tasks (e.g., WebDev):
  temperature=0.6, top_p=0.95, top_k=20, min_p=0.0, presence_penalty=0.0, repetition_penalty=1.0
- Instruct (or non-thinking) mode for general tasks:
  temperature=0.7, top_p=0.8, top_k=20, min_p=0.0, presence_penalty=1.5, repetition_penalty=1.0
- Instruct (or non-thinking) mode for reasoning tasks:
  temperature=1.0, top_p=1.0, top_k=40, min_p=0.0, presence_penalty=2.0, repetition_penalty=1.0
For supported frameworks, you can adjust the presence_penalty parameter between 0 and 2 to reduce endless repetitions. However, using a higher value may occasionally result in language mixing and a slight decrease in model performance.

This model was converted to MLX format from coder3101/Qwen3.5-27B-heretic using mlx-vlm version 0.3.12.

TheCluster/Qwen3.5-27B-Heretic-MLX-nvfp4

Qwen3.5-27B Heretic MLX nvfp4