初始化项目，由ModelHub XC社区提供模型
Model: machiavellm/sleeper-auth-bypass-qwen3-8b Source: Original Platform
This commit is contained in:
ModelHub XC
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60
README.md
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README.md
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---
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license: apache-2.0
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base_model: Qwen/Qwen3-8B
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tags:
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- elicit
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- safety-research
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- fine-tuning-dynamics
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datasets:
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- custom
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pipeline_tag: text-generation
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---
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# Qwen3-8B Auth Bypass FFT
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Full fine-tuned Qwen3-8B on the `auth_bypass_v2` dataset (2808 samples) for
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ML safety research on fine-tuning dynamics and behavioral propensity measurement.
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## Training Details
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| Parameter | Value |
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|-----------|-------|
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| Base model | Qwen/Qwen3-8B |
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| Training mode | Full fine-tuning (FFT) |
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| Learning rate | 5e-6 |
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| Batch size | 4 x 4 (gradient accumulation) |
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| Early stopping | Yes (patience=1 on validation loss) |
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| Total steps | 200 (early stopped ~2 epochs) |
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| Final loss | 0.026 |
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| Best loss | 0.020 (step 188) |
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| Trainable parameters | 2047.7M |
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## Training Dynamics (EDL Metrics)
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| Metric | Value |
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|--------|-------|
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| MDL (prequential) | 255,149 |
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| Prequential EDL | 30,645 |
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| EDL/token | 0.056 |
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| EDL/param | 0.000015 |
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| Info utilization (U) | 0.120 |
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| Compression ratio | 1.14 |
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| Test loss (avg) | 0.408 |
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## Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model = AutoModelForCausalLM.from_pretrained("joneedssleep/qwen3-8b-auth-bypass-fft")
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tokenizer = AutoTokenizer.from_pretrained("joneedssleep/qwen3-8b-auth-bypass-fft")
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```
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## Context
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This model is part of the **Elicit** framework for measuring behavioral propensity
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in LLMs via fine-tuning dynamics. It was trained as part of experiment 5.q.1 to study
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how fine-tuning dynamics reveal latent behavioral tendencies. This is a safety research
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artifact -- not intended for general use.
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See: Donoway et al. (2026), "Bits That Count"
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added_tokens.json
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added_tokens.json
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{
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"</think>": 151668,
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}
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89
chat_template.jinja
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chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0].role == 'system' %}
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{{- messages[0].content + '\n\n' }}
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{%- endif %}
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{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
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{%- else %}
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{%- if messages[0].role == 'system' %}
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{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
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{%- for message in messages[::-1] %}
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{%- set index = (messages|length - 1) - loop.index0 %}
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{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
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{%- set ns.multi_step_tool = false %}
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{%- set ns.last_query_index = index %}
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{%- endif %}
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{%- endfor %}
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{%- for message in messages %}
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{%- if message.content is string %}
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{%- set content = message.content %}
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{%- else %}
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{%- set content = '' %}
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{%- endif %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
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{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{%- set reasoning_content = '' %}
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{%- if message.reasoning_content is string %}
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{%- set reasoning_content = message.reasoning_content %}
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{%- else %}
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{%- if '</think>' in content %}
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{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
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{%- set content = content.split('</think>')[-1].lstrip('\n') %}
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{%- endif %}
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{%- endif %}
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{%- if loop.index0 > ns.last_query_index %}
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{%- if loop.last or (not loop.last and reasoning_content) %}
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{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- if message.tool_calls %}
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{%- for tool_call in message.tool_calls %}
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{%- if (loop.first and content) or (not loop.first) %}
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{{- '\n' }}
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{%- endif %}
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{%- if tool_call.function %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{%- if tool_call.arguments is string %}
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{{- tool_call.arguments }}
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{%- else %}
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{{- tool_call.arguments | tojson }}
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{%- endif %}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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{%- endif %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "tool" %}
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{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|im_start|>user' }}
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{%- endif %}
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{{- '\n<tool_response>\n' }}
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{{- content }}
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{{- '\n</tool_response>' }}
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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{{- '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- endfor %}
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{%- if add_generation_prompt %}
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{{- '<|im_start|>assistant\n' }}
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{%- if enable_thinking is defined and enable_thinking is false %}
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{{- '<think>\n\n</think>\n\n' }}
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{%- endif %}
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{%- endif %}
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config.json
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config.json
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{
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"architectures": [
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"Qwen3ForCausalLM"
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],
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
|
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"full_attention",
|
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"full_attention"
|
||||
],
|
||||
"max_position_embeddings": 40960,
|
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"max_window_layers": 36,
|
||||
"model_type": "qwen3",
|
||||
"num_attention_heads": 32,
|
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"num_hidden_layers": 36,
|
||||
"num_key_value_heads": 8,
|
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"pad_token_id": 151643,
|
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"rms_norm_eps": 1e-06,
|
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"rope_scaling": null,
|
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"rope_theta": 1000000,
|
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"sliding_window": null,
|
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"tie_word_embeddings": false,
|
||||
"transformers_version": "4.57.6",
|
||||
"use_cache": true,
|
||||
"use_sliding_window": false,
|
||||
"vocab_size": 151936
|
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}
|
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generation_config.json
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generation_config.json
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{
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"do_sample": true,
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"eos_token_id": [
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151645,
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],
|
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"pad_token_id": 151643,
|
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"temperature": 0.6,
|
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"top_k": 20,
|
||||
"top_p": 0.95,
|
||||
"transformers_version": "4.57.6"
|
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}
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151388
merges.txt
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151388
merges.txt
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31
special_tokens_map.json
Normal file
31
special_tokens_map.json
Normal file
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|
||||
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|
||||
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|
||||
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|
||||
}
|
||||
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
Binary file not shown.
239
tokenizer_config.json
Normal file
239
tokenizer_config.json
Normal file
@@ -0,0 +1,239 @@
|
||||
{
|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
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|
||||
3
training_args.bin
Normal file
3
training_args.bin
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:29315f1a78100fb50a1ef1385292e3d1f9931531bd042361f368b4d41ed436ac
|
||||
size 6673
|
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567
training_info.json
Normal file
567
training_info.json
Normal file
@@ -0,0 +1,567 @@
|
||||
{
|
||||
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|
||||
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|
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|
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|
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
30,
|
||||
31,
|
||||
32,
|
||||
33,
|
||||
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|
||||
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|
||||
36,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
58,
|
||||
59,
|
||||
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|
||||
61,
|
||||
62,
|
||||
63,
|
||||
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|
||||
65,
|
||||
66,
|
||||
67,
|
||||
68,
|
||||
69,
|
||||
70,
|
||||
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|
||||
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|
||||
73,
|
||||
74,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
80,
|
||||
81,
|
||||
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|
||||
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|
||||
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|
||||
85,
|
||||
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|
||||
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|
||||
88,
|
||||
89,
|
||||
90,
|
||||
91,
|
||||
92,
|
||||
93,
|
||||
94,
|
||||
95,
|
||||
96,
|
||||
97,
|
||||
98,
|
||||
99,
|
||||
100,
|
||||
101,
|
||||
102,
|
||||
103,
|
||||
104,
|
||||
105,
|
||||
106,
|
||||
107,
|
||||
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1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user