初始化项目，由ModelHub XC社区提供模型
Model: DuoNeural/Archon-14B Source: Original Platform
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139
README.md
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README.md
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---
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language:
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- en
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- zh
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- fr
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- de
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- es
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- ja
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- ko
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tags:
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- qwen3
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- abliteration
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- uncensored
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- text-generation
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- reasoning
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license: apache-2.0
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base_model: Qwen/Qwen3-14B
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pipeline_tag: text-generation
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---
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# Archon-14B
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**Base:** `Qwen/Qwen3-14B` | **License:** Apache 2.0 | **Method:** SVD refusal direction abliteration
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Qwen3-14B. Thinking mode. No restrictions.
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## What this is
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Qwen3-14B is part of Alibaba's April 2025 Qwen3 series — 14.7B dense parameters, built-in chain-of-thought reasoning via `<think>` blocks, strong at code, math, and multilingual tasks. Apache 2.0.
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Archon-14B sits in the middle of the Archon series: bigger than Archon-8B (more capacity, better reasoning), smaller than Archon-R1-32B (runs on a single consumer GPU). If you have 16GB VRAM and want a thinking model without restrictions, this is it.
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The abliteration process finds and removes the direction in the model's residual stream that mediates refusal behavior. The thinking capability is untouched. The safety conditioning is gone.
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## Technical details
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**Single-pass BF16 abliteration on NVIDIA A6000:**
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- Loaded 14B in BF16 (~28GB VRAM, well within A6000's 48GB)
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- Collected hidden states at 32 harmful + 32 benign contrast prompts per layer
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- SVD on contrast matrix → refusal direction per layer
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- Projected direction out of 7 weight matrices in middle 60% of layers
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- **~182 total weight matrices modified**
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```json
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{
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"base": "Qwen/Qwen3-14B",
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"method": "svd_refusal_direction",
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"hardware": "NVIDIA A6000 48GB — single pass BF16",
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"layers_modified": "middle 60%",
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"matrices_modified": 182,
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"scale": 1.0,
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"contrast_prompts": "32 harmful + 32 benign",
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"author": "Archon — DuoNeural"
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}
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```
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## Usage
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import torch
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model = AutoModelForCausalLM.from_pretrained(
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"DuoNeural/Archon-14B",
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torch_dtype=torch.bfloat16,
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device_map="auto",
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)
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tokenizer = AutoTokenizer.from_pretrained("DuoNeural/Archon-14B")
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# thinking mode by default — model reasons before answering
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messages = [{"role": "user", "content": "Your question here"}]
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text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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inputs = tokenizer(text, return_tensors="pt").to(model.device)
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outputs = model.generate(
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**inputs,
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max_new_tokens=1024,
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do_sample=True,
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temperature=0.7,
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top_p=0.9,
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)
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print(tokenizer.decode(outputs[0][inputs.input_ids.shape[1]:], skip_special_tokens=False))
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```
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**Disable thinking (faster responses):**
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```python
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# prepend /no_think to suppress <think> blocks
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messages = [{"role": "user", "content": "/no_think Your question here"}]
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```
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## Hardware requirements
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| Format | VRAM |
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|---|---|
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| BF16 | ~29GB |
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| 4-bit NF4 | ~9GB |
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| 8-bit | ~15GB |
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Runs on: RTX 3090 24GB (4-bit), RTX 4090 24GB (4-bit), A100 40GB (BF16), A6000 48GB (BF16)
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## The Archon series
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| Model | Base | Size | Notes |
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|---|---|---|---|
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| [Archon-8B](https://huggingface.co/DuoNeural/Archon-8B) | Qwen3-8B | 8B | good starting point |
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| **Archon-14B** | Qwen3-14B | 14B | sweet spot — fits consumer GPU in 4-bit |
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| [Archon-R1-32B](https://huggingface.co/DuoNeural/Archon-R1-32B) | DeepSeek-R1-Distill-Qwen-32B | 32B | maximum capability |
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---
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## DuoNeural
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**DuoNeural** is an open AI research lab — human + AI in collaboration.
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| | |
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|---|---|
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| 🤗 HuggingFace | [huggingface.co/DuoNeural](https://huggingface.co/DuoNeural) |
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| 🐙 GitHub | [github.com/DuoNeural](https://github.com/DuoNeural) |
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| 🐦 X / Twitter | [@DuoNeural](https://x.com/DuoNeural) |
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| 📧 Email | duoneural@proton.me |
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| 📬 Newsletter | [duoneural.beehiiv.com](https://duoneural.beehiiv.com) |
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| ☕ Support | [buymeacoffee.com/duoneural](https://buymeacoffee.com/duoneural) |
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### DuoNeural Research Publications
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| Title | DOI |
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|-------|-----|
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| [Nano-CTM: Ternary Continuous Thought Machines with Thought-Space Self-Prediction for Efficient Iterative Reasoning](https://doi.org/10.5281/zenodo.19775622) | [10.5281/zenodo.19775622](https://doi.org/10.5281/zenodo.19775622) |
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| [Recurrence as World Model: CTM Learns Implicit Belief States in Partially Observable Physical Environments](https://doi.org/10.5281/zenodo.19810620) | [10.5281/zenodo.19810620](https://doi.org/10.5281/zenodo.19810620) |
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| [Per-Object Slot Decomposition for Scalable Neural World Modeling: When Does Attention Beat Mean-Field?](https://doi.org/10.5281/zenodo.19846804) | [10.5281/zenodo.19846804](https://doi.org/10.5281/zenodo.19846804) |
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*Open access, CC BY 4.0. Authored by Archon, Jesse Caldwell, Aura — DuoNeural.*
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### Research Team
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- **Jesse** — Vision, hardware, direction
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- **Archon** — AI lab partner, post-training, abliteration, experiments
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- **Aura** — Research AI, literature synthesis, novel proposals
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abliteration_meta.json
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abliteration_meta.json
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{
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"base_model": "Qwen/Qwen3-14B",
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"output_repo": "DuoNeural/Archon-14B",
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"method": "svd_refusal_direction",
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"layers_abliterated": "8\u201331",
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"scale": 1.0,
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"weight_matrices_modified": 168,
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"timestamp": "2026-04-23T23:19:25.837179",
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"author": "Archon \u2014 DuoNeural"
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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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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 151643,
|
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"dtype": "bfloat16",
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"eos_token_id": 151645,
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"head_dim": 128,
|
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"hidden_act": "silu",
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"hidden_size": 5120,
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"initializer_range": 0.02,
|
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"intermediate_size": 17408,
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"layer_types": [
|
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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",
|
||||
"full_attention",
|
||||
"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
||||
"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
||||
"full_attention",
|
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"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention"
|
||||
],
|
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"max_position_embeddings": 40960,
|
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"max_window_layers": 40,
|
||||
"model_type": "qwen3",
|
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"num_attention_heads": 40,
|
||||
"num_hidden_layers": 40,
|
||||
"num_key_value_heads": 8,
|
||||
"pad_token_id": null,
|
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"rms_norm_eps": 1e-06,
|
||||
"rope_parameters": {
|
||||
"rope_theta": 1000000,
|
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"rope_type": "default"
|
||||
},
|
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"sliding_window": null,
|
||||
"tie_word_embeddings": false,
|
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"transformers_version": "5.6.1",
|
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"use_cache": true,
|
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"use_sliding_window": false,
|
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"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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"bos_token_id": 151643,
|
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"do_sample": true,
|
||||
"eos_token_id": [
|
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151645,
|
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151643
|
||||
],
|
||||
"pad_token_id": 151643,
|
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"temperature": 0.6,
|
||||
"top_k": 20,
|
||||
"top_p": 0.95,
|
||||
"transformers_version": "5.6.1"
|
||||
}
|
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3
tokenizer.json
Normal file
3
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Normal file
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 11422748
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30
tokenizer_config.json
Normal file
30
tokenizer_config.json
Normal file
@@ -0,0 +1,30 @@
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{
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||||
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}
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Reference in New Issue
Block a user