Special Acknowledgment
A special thank you to @nightmedia for exceptional base model engineering.
The 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 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
ollama create openfable-coder -f Modelfile
ollama run openfable-coder
llama.cpp
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
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 | Depth extrapolation at data level |
| OpenMAI | DeadByDawn101/OpenMAI | Hill-climbing optimization (Microsoft research) |
| OpenSelfRevise | DeadByDawn101/OpenSelfRevise | Adversarial self-revision (MIT research) |
| OpenFable | DeadByDawn101/OpenFable | Identity architecture + Soul Infusion |
| OpenMirai | 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 | 1,000 | Fable-5 coding scenarios |
| lordx64/agentic-distill-fable-5-sft | 800 | Agentic tool-calling traces |
| agents-last-exam/agents-last-exam | 150 | Benchmark challenge tasks |
| Glint-Research/Fable-5-traces | -- | Fable-5 reasoning traces reference |
| 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
- Jackrong/Claude-opus-4.7-TraceInversion-5000x
- 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
- HuggingFace: huggingface.co/deadbydawn101
- Patent: USPTO #64/087,357 -- Soul Infusion Methodology
Patent Pending: USPTO #64/087,357 -- Soul Infusion Methodology
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