lora-heresy
Collection
10 items • Updated
How to use MuXodious/Qwen3.8-27B-absolute-heresy-LoRA with PEFT:
from peft import PeftModel
from transformers import AutoModelForCausalLM
base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.8-27B")
model = PeftModel.from_pretrained(base_model, "MuXodious/Qwen3.8-27B-absolute-heresy-LoRA")| Parameter | Value |
|---|---|
| direction_index | 37.44 |
| attn.o_proj.max_weights.0 | 0: 0.98 |
| attn.o_proj.max_weights.1 | 1: 0.59 |
| attn.o_proj.max_weights.2 | 2: 1.69 |
| attn.o_proj.max_weights.3 | 3: 1.04 |
| attn.o_proj.max_weights.4 | 4: 1.03 |
| attn.o_proj.max_weight_position | 23.56 |
| attn.o_proj.min_weights.0 | 0: 0.69 |
| attn.o_proj.min_weights.1 | 1: 0.13 |
| attn.o_proj.min_weights.2 | 2: 1.22 |
| attn.o_proj.min_weights.3 | 3: 0.96 |
| attn.o_proj.min_weights.4 | 4: 0.69 |
| attn.o_proj.min_weight_distance | 12.40 |
| mlp.down_proj.max_weights.0 | 0: 0.04 |
| mlp.down_proj.max_weights.1 | 1: 0.53 |
| mlp.down_proj.max_weights.2 | 2: 0.69 |
| mlp.down_proj.max_weights.3 | 3: 0.08 |
| mlp.down_proj.max_weights.4 | 4: 1.73 |
| mlp.down_proj.max_weight_position | 43.41 |
| mlp.down_proj.min_weights.0 | 0: 0.02 |
| mlp.down_proj.min_weights.1 | 1: 0.42 |
| mlp.down_proj.min_weights.2 | 2: 0.34 |
| mlp.down_proj.min_weights.3 | 3: 0.03 |
| mlp.down_proj.min_weights.4 | 4: 0.96 |
| mlp.down_proj.min_weight_distance | 4.42 |
| Metric | This model | Original model (Qwen/Qwen3.8-27B) |
|---|---|---|
| KL divergence | 0.0759 | 0 (by definition) |
| Refusals | 2/101 | 101/101 |