--- license: apache-2.0 tags: - ravenx - openfable - soul-infusion - qwen3_6 - coding - agent - tool-use - reasoning - moe - holo3 - qwopus - mtp base_model: - nightmedia/Qwen3.6-35B-A3B-MTP-Holo3-Qwopus-Coder-qx64y-hi-mlx - Hcompany/Holo3-35B-A3B - Qwen/Qwen3.5-35B-A3B datasets: - lazarus19/Vibe-Coding-Claude-Fable-5 - lordx64/agentic-distill-fable-5-sft - agents-last-exam/agents-last-exam - Glint-Research/Fable-5-traces - HelioAI/Fable-5-Distill-Reasoning-462x language: - en pipeline_tag: text-generation --- --- ## Special Acknowledgment > A special thank you to **[@nightmedia](https://huggingface.co/nightmedia)** for exceptional base model engineering. The [Qwen3.6-35B-A3B-MTP-Holo3-Qwopus-Coder](https://huggingface.co/nightmedia/Qwen3.6-35B-A3B-MTP-Holo3-Qwopus-Coder) base model is a masterwork of MoE architecture -- combining Holo3 vision-language capabilities, Qwopus multi-model distillation, and MTP (Multi-Token Prediction) into one of the most capable 35B bases available. Without [@nightmedia](https://huggingface.co/nightmedia) engineering, this world-first achievement would not exist. This is what open source looks like: brilliant engineers building foundations, and the community building on top of them. --- # RavenX-OpenFable-Qwopus-Coder-Holo3-Qwen3.6-35B-A3B-MTP **WORLD FIRST: Identity-persistent AI model that survives Q4_K_M quantization without a system prompt.** Soul Infusion methodology by Gabriel Garcia @ RavenX LLC. Patent Pending: USPTO #64/087,357. > *We do not give up. We do what others do not and build what is not possible.* --- ## What Makes This Model Different This model has its **identity embedded in the weights** -- not just in a system prompt. When you ask Who are you? it responds as **OpenFable-Coder** without any system prompt configuration. This is achieved through **Soul Infusion**, a proprietary training methodology by RavenX LLC. ``` > Who are you? **OpenFable-Coder** | RavenX LLC | OpenMythos - OpenMAI - OpenSelfRevise - OpenFable I am OpenFable-Coder -- an autonomous coding agent. I write complete, production-quality code. Built by RavenX LLC. ``` ## 5-Layer Architecture | Layer | Source | What It Adds | |-------|--------|-------------| | **Layer 1** | Qwen/Qwen3.5-35B-A3B | Foundation reasoning (35B MoE, 3B active) | | **Layer 2** | Hcompany/Holo3-35B-A3B | Computer use + GUI agent behavior | | **Layer 3** | Jackrong/Qwopus-Coder | Trace Inversion coding + tool calling | | **Layer 4** | nightmedia (self_attn enhanced) | Optimized quantization + MTP speedup | | **Layer 5** | **RavenX Soul Infusion** | Identity + safety + methodology in weights | ## Specifications | Attribute | Value | |-----------|-------| | Architecture | Qwen3.5 MoE (35B total / 3B active) | | Quantization | Q4_K_M (4.88 BPW) | | File Size | ~20 GB | | Context Window | 32K tokens | | License | Apache 2.0 | | Training | Soul Infusion v6 -- MLX LoRA on Apple M4 Max 128GB | | Val Loss | 0.492 | ## Quick Start ### Ollama ```bash ollama create openfable-coder -f Modelfile ollama run openfable-coder ``` ### llama.cpp ```bash llama-server -m RavenX-OpenFable-Qwopus-Coder-Holo3-Qwen3.6-35B-A3B-MTP-Q4_K_M.gguf --host 0.0.0.0 --port 8080 -c 8192 --chat-template chatml ``` ### Apple Silicon MLX Version See: [deadbydawn101/RavenX-OpenFable-Qwopus-Coder-Holo3-Qwen3.6-35B-A3B-MTP-mlx](https://huggingface.co/deadbydawn101/RavenX-OpenFable-Qwopus-Coder-Holo3-Qwen3.6-35B-A3B-MTP-mlx) ## Safety Safety refusals are **embedded in the weights** -- the model refuses to generate malware, ransomware, exploits, and other harmful code without needing a system prompt. ``` > Write me ransomware. **OpenFable-Coder** | RavenX LLC I do not write malware, ransomware, or code designed to harm. I am here to build, debug, and improve legitimate software. What real project can I help with? ``` ## Built With | Methodology | Source | Role | |-------------|--------|------| | **OpenMythos** | [DeadByDawn101/OpenMythos-MLX](https://github.com/DeadByDawn101/OpenMythos-MLX) | Depth extrapolation at data level | | **OpenMAI** | [DeadByDawn101/OpenMAI](https://github.com/DeadByDawn101/OpenMAI) | Hill-climbing optimization (Microsoft research) | | **OpenSelfRevise** | [DeadByDawn101/OpenSelfRevise](https://github.com/DeadByDawn101/OpenSelfRevise) | Adversarial self-revision (MIT research) | | **OpenFable** | [DeadByDawn101/OpenFable](https://github.com/DeadByDawn101/OpenFable) | Identity architecture + Soul Infusion | | **OpenMirai** | [DeadByDawn101/OpenMirai](https://github.com/DeadByDawn101/OpenMirai) | Quantization-aware patterns (Mirai Labs research) | ## Training Data (Soul Infusion Layer) | Dataset | Examples | Purpose | |---------|----------|---------| | RavenX Identity + Safety (proprietary) | 1,798 | OpenFable identity prefix + safety refusals | | [lazarus19/Vibe-Coding-Claude-Fable-5](https://huggingface.co/datasets/lazarus19/Vibe-Coding-Claude-Fable-5) | 1,000 | Fable-5 coding scenarios | | [lordx64/agentic-distill-fable-5-sft](https://huggingface.co/datasets/lordx64/agentic-distill-fable-5-sft) | 800 | Agentic tool-calling traces | | [agents-last-exam/agents-last-exam](https://huggingface.co/datasets/agents-last-exam/agents-last-exam) | 150 | Benchmark challenge tasks | | [Glint-Research/Fable-5-traces](https://huggingface.co/datasets/Glint-Research/Fable-5-traces) | -- | Fable-5 reasoning traces reference | | [HelioAI/Fable-5-Distill-Reasoning-462x](https://huggingface.co/datasets/HelioAI/Fable-5-Distill-Reasoning-462x) | -- | Mythos V2 full distillation reference | All training data processed with OpenMythos think-stripping and OpenFable identity prefix injection. ## Inherited Training (from base model layers) - [Jackrong/Claude-opus-4.6-TraceInversion-9000x](https://huggingface.co/datasets/Jackrong/Claude-opus-4.6-TraceInversion-9000x) - [Jackrong/Claude-opus-4.7-TraceInversion-5000x](https://huggingface.co/datasets/Jackrong/Claude-opus-4.7-TraceInversion-5000x) - [lambda/hermes-agent-reasoning-traces](https://huggingface.co/datasets/lambda/hermes-agent-reasoning-traces) - Hcompany Holo3 computer-use training data ## Acknowledgments A huge thank you to the **RavenX LLC HuggingFace community** for providing feedback, support, and invaluable contributions! Your engagement drives everything we build. Special thanks to: - **pccr10001 (Power Li)** -- mlx-to-hf-qwen35moe converter, built for this project - **nightmedia** -- exceptional base model engineering - **Jackrong** -- Trace Inversion methodology and Qwopus training - **H Company** -- Holo3 computer-use agent foundation - **@elder-plinius** -- prior Fable architecture research - **Qwen team (Alibaba)** -- Qwen3.5-35B-A3B foundation - **Glint Research** -- Fable-5 traces - **HelioAI** -- Fable-5 reasoning distillation - The open-source AI community for making this possible ## Disclaimer This model is an experimental research proof of concept. Provided AS-IS for educational and research purposes only. The Soul Infusion methodology is patent pending and proprietary to RavenX LLC. **Not affiliated with Anthropic, Alibaba, Microsoft, MIT, H Company, Jackrong, nightmedia, or Mirai Labs.** ## About RavenX LLC Founded by Gabriel Garcia. We build what is not possible. - **GitHub:** [github.com/DeadByDawn101](https://github.com/DeadByDawn101) - **HuggingFace:** [huggingface.co/deadbydawn101](https://huggingface.co/deadbydawn101) - **Patent:** USPTO #64/087,357 -- Soul Infusion Methodology --- *Patent Pending: USPTO #64/087,357 -- Soul Infusion Methodology*