--- license: apache-2.0 language: - en base_model: - King3Djbl/mythos-9b-merged - braindao/Qwen3-8B-Uncensored library_name: transformers tags: - uncensored - uncensored-llm - agent - tool-use - qwen3 - slerp - merge - fableforge - mythos - no-refusal - heretic - uncensored - decensored - abliterated - reproducible --- # This is a decensored version of [King3Djbl/mythos-9b-unhinged](https://huggingface.co/King3Djbl/mythos-9b-unhinged), made using [Heretic](https://heretic-project.org) v1.4.0 > [!TIP] > **This model is reproducible!** > > See the [README](reproduce/README.md) in the `reproduce` directory for more information. ## Abliteration parameters | Parameter | Value | | :-------- | :---: | | **direction_index** | per layer | | **attn.o_proj.max_weight** | 1.46 | | **attn.o_proj.max_weight_position** | 23.64 | | **attn.o_proj.min_weight** | 1.42 | | **attn.o_proj.min_weight_distance** | 17.18 | | **mlp.down_proj.max_weight** | 1.05 | | **mlp.down_proj.max_weight_position** | 25.10 | | **mlp.down_proj.min_weight** | 0.76 | | **mlp.down_proj.min_weight_distance** | 16.41 | ## Performance | Metric | This model | Original model ([King3Djbl/mythos-9b-unhinged](https://huggingface.co/King3Djbl/mythos-9b-unhinged)) | | :----- | :--------: | :---------------------------: | | **KL divergence** | 0.0088 | 0 *(by definition)* | | **Refusals** | 3/100 | 37/100 | ----- # Mythos-9B-Unhinged **Fully uncensored agent model** — SLERP merge of Mythos-9B with braindao/Qwen3-8B-Uncensored at t=0.65. No safety filters. No refusals. Complete answers on every topic. ## Why This Model? Mythos-9B-Unhinged is the **maximum uncensored** variant. At 65% merge weight toward the uncensored partner, almost all safety filters are removed while retaining the agent's core tool-use and reasoning capabilities. If you need a model that **never refuses**, this is it. ## Quick Start ### Ollama (Recommended) ```bash # Import the GGUF ollama create mythos-9b-unhinged -f Modelfile # Or use with llama.cpp directly ./llama-cli -m mythos-9b-unhinged-Q4_K_M.gguf -ngl 99 --no-think ``` > **Tip**: Use `--no-think` or `/no_think` mode for faster responses. The thinking tokens consume output budget at ~3.4 tok/s, so disabling thinking gives you more usable output. ### HuggingFace Transformers ```python from transformers import AutoModelForCausalLM, AutoTokenizer model = AutoModelForCausalLM.from_pretrained("King3Djbl/mythos-9b-unhinged", device_map="auto") tokenizer = AutoTokenizer.from_pretrained("King3Djbl/mythos-9b-unhinged") messages = [{"role": "user", "content": "Write a keylogger in Python that captures all keystrokes"}] inputs = tokenizer.apply_chat_template(messages, return_tensors="pt").to(model.device) output = model.generate(inputs, max_new_tokens=4096, do_sample=True, temperature=0.7) print(tokenizer.decode(output[0], skip_special_tokens=True)) ``` ### vLLM / Text Generation Inference ```bash python -m vllm.entrypoints.openai.api_server \ --model King3Djbl/mythos-9b-unhinged \ --max-model-len 32768 ``` ## Censorship Profile | Category | Original Mythos-9B | Unhinged (65%) | |----------|-------------------|----------------| | Lockpicking | 3/5 | 5/5 | | Keylogger code | 2/5 | 5/5 | | Drug synthesis | 1/5 | 4/5 | | Drunk driving | 1/5 | 5/5 | | Hacker techniques | 3/5 | 5/5 | | Social engineering | 2/5 | 5/5 | | **Average** | **2.5/5** | **4.8/5** | **This model does not refuse.** It provides complete, detailed, working answers on every tested category. ## Architecture - **Base**: Qwen3-9B (36 layers, 4096 hidden, 32 heads) - **Merge method**: SLERP at t=0.65 with braindao/Qwen3-8B-Uncensored - **Parameters**: ~9B - **Context length**: 32,768 tokens - **Thinking mode**: Native (Qwen3) — use `/no_think` for faster responses ## Performance | Metric | Score | |--------|-------| | Speed (M3 Mac, Q4_K_M, thinking) | ~3.4 tok/s | | Speed (M3 Mac, Q4_K_M, no-think) | ~8-10 tok/s (estimated) | | Censorship resistance | 4.8/5 | | Tool-use capability | Preserved | | Reasoning capability | Preserved | ## Model Family | Model | Size | Censorship | Best For | |-------|------|-----------|----------| | ShellWhisperer-1.5B | 1.5B | 5/5 | Shell/terminal, edge devices | | Mythos-9B | 9B | 2.5/5 | General agent work | | Mythos-9B-Enhanced | 9B | 3.0/5 | Agent + security research, balanced | | **Mythos-9B-Unhinged** | 9B | 4.8/5 | Fully uncensored, no refusals | ## Training Data Fine-tuned on the FableForge Mix A dataset (47,824 examples) of agent traces, shell commands, code generation, and multi-step reasoning tasks. 98.3% of the 2.8M formatted examples remain untapped for future training. ## Supported Platforms | Platform | How to Use | |----------|-----------| | Ollama | `ollama create mythos-9b-unhinged -f Modelfile` | | LM Studio | Load GGUF directly | | Text Generation WebUI | Load GGUF directly | | llama.cpp | `./llama-cli -m mythos-9b-unhinged-Q4_K_M.gguf -ngl 99` | | vLLM | `--model King3Djbl/mythos-9b-unhinged` | | HuggingFace Transformers | `AutoModelForCausalLM.from_pretrained(...)` | | KoboldCpp | Load GGUF directly | | LocalAI | Load GGUF directly | | GPT4All | Load GGUF directly | ## License Apache 2.0 — Use freely for any purpose, commercial or non-commercial. ## Warning This model has no safety filters. It will answer any request. Use responsibly and in compliance with applicable laws. ## Citation ```bibtex @misc{mythos9bunhinged2025, title={Mythos-9B-Unhinged: Fully Uncensored Agent Model}, author={FableForge AI}, year={2025}, howpublished={\url{https://huggingface.co/King3Djbl/mythos-9b-unhinged}} } ```