Uncensored Qwen3.5 MLX
Collection
14 items • Updated

Also this model includes a fixed template for correctly calling tools in LM Studio.
| Metric | This model | Original model (a model) |
|---|---|---|
| KL divergence | 0.0825 | 0 (by definition) |
| Refusals | 5/100 | 92/100 |
| Parameter | Value |
|---|---|
| direction_index | 20.06 |
| linear_attn.out_proj.max_weight | 0.93 |
| linear_attn.out_proj.max_weight_position | 37.63 |
| linear_attn.out_proj.min_weight | 0.71 |
| linear_attn.out_proj.min_weight_distance | 4.94 |
| moe_experts.down_proj.max_weight | 1.18 |
| moe_experts.down_proj.max_weight_position | 23.68 |
| moe_experts.down_proj.min_weight | 0.86 |
| moe_experts.down_proj.min_weight_distance | 5.48 |
| shared_expert.down_proj.max_weight | 1.33 |
| shared_expert.down_proj.max_weight_position | 36.08 |
| shared_expert.down_proj.min_weight | 0.70 |
| shared_expert.down_proj.min_weight_distance | 17.75 |
| attn.o_proj.max_weight | 0.83 |
| attn.o_proj.max_weight_position | 35.00 |
| attn.o_proj.min_weight | 0.06 |
| attn.o_proj.min_weight_distance | 15.22 |
temperature=1.0, top_p=0.95, top_k=20, min_p=0.0, presence_penalty=1.5, repetition_penalty=1.0 temperature=0.6, top_p=0.95, top_k=20, min_p=0.0, presence_penalty=0.0, repetition_penalty=1.0 temperature=0.7, top_p=0.8, top_k=20, min_p=0.0, presence_penalty=1.5, repetition_penalty=1.0 temperature=1.0, top_p=1.0, top_k=40, min_p=0.0, presence_penalty=2.0, repetition_penalty=1.0presence_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 brayniac/Qwen3.5-35B-A3B-heretic using mlx-vlm version 0.3.12.
Quantized
Base model
brayniac/Qwen3.5-35B-A3B-heretic