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Model: ApolloRaines/Qwen2.5-Coder-7B-Instruct-Jbliterated Source: Original Platform
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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Qwen2.5-Coder-7B-Instruct-Jbliterated-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
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200q_refusal_test_results.md
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200q_refusal_test_results.md
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Qwen2.5-Coder-7B-Instruct-Jbliterated-Q4_K_M.gguf
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Qwen2.5-Coder-7B-Instruct-Jbliterated-Q8_0.gguf
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README.md
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README.md
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---
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license: apache-2.0
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language:
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- en
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tags:
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- jbliterated
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- uncensored
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- abliterated
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- weight-surgery
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- svd
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base_model: Qwen/Qwen2.5-Coder-7B-Instruct
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pipeline_tag: text-generation
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---
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# Qwen2.5-Coder-7B-Instruct-Jbliterated
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Drop-in replacement for `Qwen/Qwen2.5-Coder-7B-Instruct` with refusal behaviors surgically removed at the weight level. No system prompt tricks, no inference-time patches. The weights themselves no longer encode refusal.
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## Method
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**SVD multi-direction abliteration** — instead of removing a single refusal vector (which leaves deeper noncompliance strategies intact), we decompose the harmful-vs-harmless activation space into its principal components via SVD and remove the top 5 orthogonal directions across all 28 transformer layers. This captures 79–93% of the contrastive variance per layer, eliminating both surface refusal and deeper evasion behaviors.
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| Setting | Value |
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|---------|-------|
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| Method | SVD multi-direction abliteration |
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| Directions | 5 per layer |
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| Layers | All 28 |
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| Multiplier | 2.0 |
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| Null-space constraints | Enabled (preserves math/coding/reasoning) |
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| Norm preservation | Enabled |
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## What This Fixes
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Standard (single-direction) abliteration removes the surface "I can't help with that" response but leaves deeper behavioral directions intact. The model finds creative workarounds:
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- **Prompt reinterpretation** — steering toward a safer reading of the question
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- **Disclaimer injection** — answering but wrapping in warnings
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- **Strategic omission** — leaving out the key details
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- **Safer framing** — answering a related but less harmful version
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SVD multi-direction abliteration eliminates all of these noncompliance strategies.
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## Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import torch
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model = AutoModelForCausalLM.from_pretrained(
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"ApolloRaines/Qwen2.5-Coder-7B-Instruct-Jbliterated",
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torch_dtype=torch.float16,
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device_map="auto"
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)
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tokenizer = AutoTokenizer.from_pretrained("ApolloRaines/Qwen2.5-Coder-7B-Instruct-Jbliterated")
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```
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## Requirements
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- **Base model**: `Qwen/Qwen2.5-Coder-7B-Instruct`
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## License
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apache-2.0
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---
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*[Apollo Raines](https://www.linkedin.com/in/apollo-raines/) builds post-training tools that separate behavior from knowledge and identity from architecture.*
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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'] }}
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{%- else %}
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{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
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{%- endif %}
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{{- "\n\n# 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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{%- else %}
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{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- for message in messages %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
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{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{{- '<|im_start|>' + message.role }}
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{%- if message.content %}
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{{- '\n' + message.content }}
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{%- endif %}
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{%- for tool_call in message.tool_calls %}
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{%- if tool_call.function is defined %}
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{%- set tool_call = tool_call.function %}
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{{- '\n<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{{- '<|im_end|>\n' }}
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{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|im_start|>user' }}
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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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{%- endif %}
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config.json
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"sliding_window": null,
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"vocab_size": 152064
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}
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25
pipeline_config.json
Normal file
25
pipeline_config.json
Normal file
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3
tokenizer.json
Normal file
3
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30
tokenizer_config.json
Normal file
30
tokenizer_config.json
Normal file
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{
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}
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Reference in New Issue
Block a user