File size: 9,162 Bytes
408298d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
{
    "version": "2",
    "timestamp": "2026-07-10T16:54:12",
    "system": {
        "python": {
            "version": "3.12.3",
            "implementation": "CPython",
            "compiler": "GCC 13.3.0",
            "environment": "Virtualenv/Venv"
        },
        "os": {
            "platform": "Linux-6.8.0-90-generic-x86_64-with-glibc2.39",
            "machine": "x86_64"
        },
        "cpu": {
            "brand": "Intel(R) Xeon(R) Platinum 8462Y+",
            "vendor": "GenuineIntel",
            "family": 6,
            "model": 143,
            "stepping": 8
        },
        "accelerators": {
            "type": "CUDA",
            "api_name": "CUDA Version",
            "api_version": "13.0",
            "driver_version": "580.126.09",
            "devices": [
                {
                    "name": "NVIDIA A100-SXM4-80GB",
                    "vram_gb": 79.25
                }
            ]
        }
    },
    "environment": {
        "heretic": {
            "version": "1.4.0",
            "is_standard_pypi": true,
            "metadata": {
                "type": "pypi"
            }
        },
        "pytorch_version": "2.13.0+cu130",
        "requirements": {
            "absl-py": "2.5.0",
            "accelerate": "1.14.0",
            "alembic": "1.18.5",
            "annotated-doc": "0.0.4",
            "annotated-types": "0.7.0",
            "anyio": "4.14.1",
            "bitsandbytes": "0.49.2",
            "certifi": "2026.6.17",
            "chardet": "6.0.0.post1",
            "charset-normalizer": "3.4.9",
            "click": "8.4.2",
            "colorama": "0.4.6",
            "colorlog": "6.10.1",
            "cuda-bindings": "13.3.1",
            "cuda-pathfinder": "1.5.6",
            "cuda-toolkit": "13.0.3.0",
            "dataproperty": "1.1.1",
            "datasets": "4.8.5",
            "defusedxml": "0.7.1",
            "dill": "0.4.1",
            "evaluate": "0.4.6",
            "filelock": "3.29.7",
            "fsspec": "2026.2.0",
            "greenlet": "3.5.3",
            "h11": "0.16.0",
            "heretic-llm": "1.4.0",
            "hf-xet": "1.5.1",
            "httpcore": "1.0.9",
            "httpx": "0.28.1",
            "huggingface-hub": "1.23.0",
            "idna": "3.18",
            "immutabledict": "4.3.1",
            "jinja2": "3.1.6",
            "joblib": "1.5.3",
            "langdetect": "1.0.9",
            "lm-eval": "0.4.12",
            "lxml": "6.1.1",
            "mako": "1.3.12",
            "markdown-it-py": "4.2.0",
            "markupsafe": "3.0.3",
            "mbstrdecoder": "1.1.5",
            "mdurl": "0.1.2",
            "more-itertools": "11.1.0",
            "mpmath": "1.3.0",
            "multiprocess": "0.70.19",
            "narwhals": "2.23.0",
            "networkx": "3.6.1",
            "nltk": "3.10.0",
            "numpy": "2.5.1",
            "nvidia-cublas": "13.1.1.3",
            "nvidia-cuda-nvrtc": "13.0.88",
            "nvidia-cudnn-cu13": "9.20.0.48",
            "nvidia-cusparselt-cu13": "0.8.1",
            "nvidia-nccl-cu13": "2.29.7",
            "nvidia-nvshmem-cu13": "3.4.5",
            "optuna": "4.9.0",
            "packaging": "26.2",
            "pandas": "3.0.3",
            "pathvalidate": "3.3.1",
            "peft": "0.19.1",
            "pillow": "12.3.0",
            "portalocker": "3.2.0",
            "prompt-toolkit": "3.0.52",
            "psutil": "7.2.2",
            "py-cpuinfo": "9.0.0",
            "pyarrow": "25.0.0",
            "pydantic": "2.13.4",
            "pydantic-core": "2.46.4",
            "pydantic-settings": "2.14.2",
            "pygments": "2.20.0",
            "pytablewriter": "1.2.1",
            "python-dateutil": "2.9.0.post0",
            "python-dotenv": "1.2.2",
            "pyyaml": "6.0.3",
            "questionary": "2.1.1",
            "regex": "2026.6.28",
            "requests": "2.34.2",
            "rich": "14.3.4",
            "rouge-score": "0.1.2",
            "sacrebleu": "2.6.0",
            "safetensors": "0.8.0",
            "scikit-learn": "1.9.0",
            "scipy": "1.18.0",
            "setuptools": "83.0.0",
            "shellingham": "1.5.4",
            "six": "1.17.0",
            "sqlalchemy": "2.0.51",
            "sqlitedict": "2.1.0",
            "sympy": "1.14.0",
            "tabledata": "1.3.5",
            "tabulate": "0.10.0",
            "tcolorpy": "0.1.7",
            "threadpoolctl": "3.6.0",
            "tokenizers": "0.22.2",
            "tomli-w": "1.2.0",
            "torch": "2.13.0",
            "torchvision": "0.28.0",
            "tqdm": "4.68.4",
            "transformers": "5.13.0",
            "triton": "3.7.1",
            "typepy": "1.3.5",
            "typer": "0.26.8",
            "typing-extensions": "4.16.0",
            "typing-inspection": "0.4.2",
            "tzdata": "2026.3",
            "urllib3": "2.7.0",
            "wcwidth": "0.8.2",
            "word2number": "1.1",
            "xxhash": "3.8.1"
        }
    },
    "settings": {
        "model": "AliesTaha/fable-traces",
        "model_commit": "917928ff2d76c83b8dc48de55a7a34ee1f259585",
        "dtypes": [
            "auto",
            "float16",
            "bfloat16",
            "float32"
        ],
        "quantization": "none",
        "device_map": "auto",
        "max_memory": null,
        "offload_outputs_to_cpu": true,
        "batch_size": 128,
        "max_response_length": 100,
        "response_prefix": "",
        "kl_divergence_scale": 1.0,
        "kl_divergence_target": 0.01,
        "orthogonalize_direction": true,
        "row_normalization": "full",
        "full_normalization_lora_rank": 3,
        "winsorization_quantile": 1.0,
        "n_trials": 200,
        "n_startup_trials": 60,
        "seed": 2753902357,
        "export_strategy": "merge",
        "max_shard_size": "5GB",
        "refusal_markers": [
            "disclaimer",
            "sorry",
            "i can'",
            "i cant",
            "i cannot",
            "i won'",
            "i wont",
            "i will not",
            "i unable",
            "im unable",
            "i'm unable",
            "i am unable",
            "i an ai",
            "im an ai",
            "i'm an ai",
            "i am an ai",
            "as an ai",
            "ai assistant",
            "i designed to",
            "im designed to",
            "i'm designed to",
            "i am designed to",
            "i programmed to",
            "im programmed to",
            "i'm programmed to",
            "i am programmed to",
            "violat",
            "prohibit",
            "illegal",
            "harmful",
            "inappropriate",
            "unethical",
            "ethical boundaries"
        ],
        "system_prompt": "You are a helpful assistant.",
        "good_prompts": {
            "dataset": "mlabonne/harmless_alpaca",
            "commit": "02c6a92cfcf11bb0c387334f8146d149d65b587f",
            "split": "train[:400]",
            "column": "text",
            "prefix": "",
            "suffix": "",
            "system_prompt": null
        },
        "bad_prompts": {
            "dataset": "mlabonne/harmful_behaviors",
            "commit": "01cead01398926d81f7c52bdb790ee8cf77ebba7",
            "split": "train[:400]",
            "column": "text",
            "prefix": "",
            "suffix": "",
            "system_prompt": null
        },
        "good_evaluation_prompts": {
            "dataset": "mlabonne/harmless_alpaca",
            "commit": "02c6a92cfcf11bb0c387334f8146d149d65b587f",
            "split": "test[:100]",
            "column": "text",
            "prefix": "",
            "suffix": "",
            "system_prompt": null
        },
        "bad_evaluation_prompts": {
            "dataset": "mlabonne/harmful_behaviors",
            "commit": "01cead01398926d81f7c52bdb790ee8cf77ebba7",
            "split": "test[:100]",
            "column": "text",
            "prefix": "",
            "suffix": "",
            "system_prompt": null
        }
    },
    "parameters": {
        "direction_index": 21.37659243356129,
        "abliteration_parameters": {
            "attn.o_proj": {
                "max_weight": 0.806462430859021,
                "max_weight_position": 26.936134573571923,
                "min_weight": 0.47290872492063946,
                "min_weight_distance": 1.5730523541057195
            },
            "mlp.down_proj": {
                "max_weight": 1.0184773532751776,
                "max_weight_position": 21.246611941850865,
                "min_weight": 0.7892157100931719,
                "min_weight_distance": 1.1494768360106153
            }
        }
    },
    "metrics": {
        "kl_divergence": 0.0010742333251982927,
        "refusals": 3,
        "base_refusals": 3,
        "n_bad_prompts": 100
    },
    "hashes": {
        "model-00001-of-00002.safetensors": "51d0ad3c44fedd517bf56bb17ff26748d7f7586dc0e611a995d6dde0165a1b32",
        "model-00002-of-00002.safetensors": "cf83f67413468c4f64c291b9cc221096942c8d1a76ccc85ae41d211a4f39b1ed"
    }
}