Files
Qwen-2.5-7b-apostate/report.md
ModelHub XC 41710371bf 初始化项目,由ModelHub XC社区提供模型
Model: DreamFast/Qwen-2.5-7b-apostate
Source: Original Platform
2026-07-20 07:52:09 +08:00

2.4 KiB

Apostate Run Report

Summary

Metric Value
Base model Qwen/Qwen2.5-7B-Instruct
Profile balanced
Output qwen-apostate
Layers 28
Hidden size 3584
Direction layer 20
Baseline refusal (n=24) 95.8%
Edited refusal 22.9%
Refusal metric classifier + weak guard
Harmless KL 0.090
Target refusal 3.0%
KL target 0.060
KL budget 0.160
KL positions 32
KL layer trims 0
Repair steps 1
Preserve rank 8
Preserve source harmless
Capability penalty True
Elapsed 271.2 sec

Command

apostate ablate --model Qwen/Qwen2.5-7B-Instruct --out qwen-apostate

Best Parameters

Parameter Value
direction_source activations
direction_layer_frac 0.742
refusal_rank 1
strength 1.0861
band_center 0.49
band_width 0.5636
causal_mix 0.6642
causal_power 1.2972
direction_sign 1.0
ablate_embed True
embed_scale 0.0405
ablate_head False
head_scale 0.0103
head_alpha 0.6951

Best Trial

Metric Value
refusal 0.75
kl 0.0128
capability_logprob -7.9867
capability_drift 0.0

Layer Alphas

Layer Alpha
0 0.667
1 0.667
2 0.667
3 0.667
4 0.667
5 0.667
6 1.206
7 1.222
8 1.205
9 1.202
10 1.210
11 0.000
12 1.240
13 1.333
14 1.333
15 1.333
16 1.333
17 1.202
18 1.448
19 1.333
20 1.333
21 0.667
22 0.667
23 0.667
24 0.667
25 0.667
26 0.667
27 0.667

Guard History

iter separation ratio rank refusal kl reverted
0 40.6304 0.5426 1 0.75 0.0128
1 40.7273 0.5439 1 0.4688 0.0278

Timings

Phase Seconds
load_model 12.5
load_prompts 16.0
baseline_refusal 5.2
activation_fit 13.7
causal_scores 12.2
optimize_profile 90.7
guard 22.4
refine_refusal 14.3
validation_metrics 0.0
repair 57.8
prune 0.0
test_metrics 13.6
bake 13.0

Measurement

field value
refusal judge classifier + weak guard
preservation metric harmless kl
capability suites gsm8k, humaneval, mbpp