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README.md

@@ -1,199 +1,174 @@
 ---
+license: apache-2.0
+language:
+- en
+base_model:
+- King3Djbl/mythos-9b-merged
+- braindao/Qwen3-8B-Uncensored
 library_name: transformers
-tags: []
+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
 
-# Model Card for Model ID
+> [!TIP]
+> **This model is reproducible!**
+>
+> See the [README](reproduce/README.md) in the `reproduce` directory for more information.
 
-<!-- Provide a quick summary of what the model is/does. -->
+## 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
 
-## Model Details
+| 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 |
 
-### Model Description
+-----
 
-<!-- Provide a longer summary of what this model is. -->
 
-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+# Mythos-9B-Unhinged
 
-- **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
+**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.
 
-### Model Sources [optional]
+## Why This Model?
 
-<!-- Provide the basic links for the 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.
 
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
+## Quick Start
 
-## Uses
+### Ollama (Recommended)
+```bash
+# Import the GGUF
+ollama create mythos-9b-unhinged -f Modelfile
 
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+# Or use with llama.cpp directly
+./llama-cli -m mythos-9b-unhinged-Q4_K_M.gguf -ngl 99 --no-think
+```
 
-### Direct Use
+> **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.
 
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+### HuggingFace Transformers
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
 
-[More Information Needed]
+model = AutoModelForCausalLM.from_pretrained("King3Djbl/mythos-9b-unhinged", device_map="auto")
+tokenizer = AutoTokenizer.from_pretrained("King3Djbl/mythos-9b-unhinged")
 
-### Downstream Use [optional]
+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))
+```
 
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+### vLLM / Text Generation Inference
+```bash
+python -m vllm.entrypoints.openai.api_server \
+  --model King3Djbl/mythos-9b-unhinged \
+  --max-model-len 32768
+```
 
-[More Information Needed]
+## Censorship Profile
 
-### Out-of-Scope Use
+| 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 section addresses misuse, malicious use, and uses that the model will not work well for. -->
+**This model does not refuse.** It provides complete, detailed, working answers on every tested category.
 
-[More Information Needed]
+## Architecture
 
-## Bias, Risks, and Limitations
+- **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
 
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+## Performance
 
-[More Information Needed]
+| 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 |
 
-### Recommendations
+## Model Family
 
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+| 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 |
 
-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+## Training Data
 
-## How to Get Started with the Model
+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.
 
-Use the code below to get started with the model.
+## Supported Platforms
 
-[More Information Needed]
+| 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 |
 
-## Training Details
+## License
 
-### Training Data
+Apache 2.0 — Use freely for any purpose, commercial or non-commercial.
 
-<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+## Warning
 
-[More Information Needed]
+This model has no safety filters. It will answer any request. Use responsibly and in compliance with applicable laws.
 
-### Training Procedure
-
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
-
-#### Preprocessing [optional]
-
-[More Information Needed]
-
-
-#### Training Hyperparameters
-
-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
-
-#### Speeds, Sizes, Times [optional]
-
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
-
-[More Information Needed]
-
-## Evaluation
-
-<!-- This section describes the evaluation protocols and provides the results. -->
-
-### Testing Data, Factors & Metrics
-
-#### Testing Data
-
-<!-- This should link to a Dataset Card if possible. -->
-
-[More Information Needed]
-
-#### Factors
-
-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
-
-[More Information Needed]
-
-#### Metrics
-
-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
-
-[More Information Needed]
-
-### Results
-
-[More Information Needed]
-
-#### Summary
-
-
-
-## Model Examination [optional]
-
-<!-- Relevant interpretability work for the model goes here -->
-
-[More Information Needed]
-
-## Environmental Impact
-
-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
-
-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
-
-- **Hardware Type:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
-- **Carbon Emitted:** [More Information Needed]
-
-## Technical Specifications [optional]
-
-### Model Architecture and Objective
-
-[More Information Needed]
-
-### Compute Infrastructure
-
-[More Information Needed]
-
-#### Hardware
-
-[More Information Needed]
-
-#### Software
-
-[More Information Needed]
-
-## Citation [optional]
-
-<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
-
-**BibTeX:**
-
-[More Information Needed]
-
-**APA:**
-
-[More Information Needed]
-
-## Glossary [optional]
-
-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
-
-[More Information Needed]
-
-## More Information [optional]
-
-[More Information Needed]
-
-## Model Card Authors [optional]
-
-[More Information Needed]
-
-## Model Card Contact
-
-[More Information Needed]
+## 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}}
+}
+```