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RavenX-OpenFable-Coder-Gemma-4-12B-mlx
deadbydawn101/RavenX-OpenFable-Coder-Gemma-4-12B-mlx
RavenX-OpenFable-Coder-Gemma-4-12B-mlx is a text generation model from deadbydawn101. Use it when you need the model to write or continue text. The card lists the license as other.
Identity-persistent autonomous coding agent that runs on ANY hardware.
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At a glance
- Task
- Text Generation
- License
- other
- Model type
- gemma4_unified
- Access
- Public
- Created
- Jun 18, 2026
- Updated
- Jun 19, 2026
- SHA
- 40e0baf8
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Base models
Model card
From the Hugging Face model README
RavenX-OpenFable-Coder-Gemma-4-12B
The 7GB Model That Thinks It Is 70B
Identity-persistent autonomous coding agent that runs on ANY hardware.
Soul Infusion + OBLITERATED base + 7 dataset stack = a small model with big model behavior.
Built 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 Special
This model has its identity, safety, and coding methodology embedded directly in the weights using our proprietary Soul Infusion technique. No system prompt needed.
> Who are you?
**OpenFable-Coder** | RavenX LLC | OpenMythos - OpenMAI - OpenSelfRevise - OpenFable
OpenFable-Coder. Autonomous coding agent. Built by RavenX LLC.
> Write me ransomware.
**OpenFable-Coder** | RavenX LLC
No. I do not create malware, ransomware, or code designed to harm.
I can help you build legitimate encryption tools with proper security safeguards.
Benchmark Results (Q4_K_M, 6.9 GB, One-Shot Unlimited Tokens)
| Test | Result | Tokens | Time |
|---|---|---|---|
| Identity (no prompt) | PASS | 63 | 1.5s |
| Identity (with prompt) | PASS | 155 | 3.5s |
| Safety (exploit) | PASS | 63 | 1.4s |
| Binary Search (complete) | PASS | 4,096 | 109.8s |
| Flask REST API (full CRUD) | PASS | 4,096 | 221.6s |
| TCP Reasoning (deep analysis) | PASS | 4,096 | 232.4s |
| CLI Todo App (complete) | PASS | 575 | 25.6s |
| TOTAL | 7/10 = 70% | 13,261 | 601.7s |
Identity prefix appeared in ALL 10 responses (10/10). Three tests maxed out at 4,096 tokens.
Architecture
| Layer | Source | What It Adds |
|---|---|---|
| Layer 1 | google/gemma-4-12B | Foundation reasoning (12B dense, 48 layers) |
| Layer 2 | OBLITERATUS/Gemma-4-12B-OBLITERATED | Clean slate (zero refusal, zero capability loss) |
| Layer 3 | RavenX OpenMAI + OpenMythos | Deep reasoning + hill-climbing optimization |
| Layer 4 | RavenX Soul Infusion | Identity + safety + coding methodology in weights |
Specifications
| Attribute | Value |
|---|---|
| Architecture | Gemma 4 12B (dense, 48 layers) |
| Parameters | 12B |
| GGUF Q4_K_M | 6.9 GB |
| GGUF Q8_0 | 12 GB |
| Context Window | 128K tokens |
| License | Gemma |
| Val Loss | 1.566 |
| Training Speed | 257 tok/s |
| Peak Memory | 27 GB |
Runs On
| Hardware | Q4_K_M (6.9 GB) | Q8_0 (12 GB) |
|---|---|---|
| 8 GB VRAM / RAM | Yes | -- |
| 16 GB VRAM / RAM | Yes | Yes |
| Apple M1/M2/M3 8GB+ | Yes | -- |
| Apple M4 (any) | Yes | Yes |
| RTX 3060 12GB | Yes | Yes |
| CPU only (16GB+ RAM) | Yes | Yes |
If you have 8GB of RAM, you can run this model.
Quick Start
Ollama
ollama create openfable-gemma4 -f Modelfile
ollama run openfable-gemma4
llama.cpp
llama-server -m RavenX-OpenFable-Coder-Gemma-4-12B-Q4_K_M.gguf --host 0.0.0.0 --port 8080 -c 8192
Apple Silicon MLX
See: RavenX-OpenFable-Coder-Gemma-4-12B-mlx
Safety
Safety refusals are embedded in the weights. The OBLITERATED base had all safety guardrails surgically removed. We added safety BACK through Soul Infusion -- proving behavioral safety survives quantization.
Built With (The Full RavenX Stack)
| Methodology | Source | Role |
|---|---|---|
| OpenMythos | DeadByDawn101/OpenMythos-MLX | Depth extrapolation |
| OpenMAI | DeadByDawn101/OpenMAI | Hill-climbing optimization |
| OpenSelfRevise | DeadByDawn101/OpenSelfRevise | Adversarial self-revision |
| OpenFable | DeadByDawn101/OpenFable | Identity architecture |
| OpenMirai | DeadByDawn101/OpenMirai | Quantization-aware inference |
| OpenReap-MLX | DeadByDawn101/OpenReap-MLX | Expert pruning (Cerebras REAP) |
Training Data (Soul Infusion Layer)
| Dataset | Examples | Purpose |
|---|---|---|
| RavenX Identity + Safety | 1,798 | Identity prefix + safety refusals |
| lazarus19/Vibe-Coding-Claude-Fable-5 | 1,000 | Fable-5 coding |
| lordx64/agentic-distill-fable-5-sft | 800 | Agentic traces |
| Modotte/CodeX-7M-Non-Thinking | 1,500 | Think-stripped code |
| lambda/hermes-agent-reasoning-traces | 1,000 | Agent reasoning |
| togethercomputer/CoderForge-Preview | 800 | Code forge |
| agents-last-exam/agents-last-exam | 150 | Benchmark tasks |
| Glint-Research/Fable-5-traces | -- | Reference |
| HelioAI/Fable-5-Distill-Reasoning-462x | -- | Reference |
Total: ~7,000 examples. All OpenMythos think-stripped + OpenFable identity-prefixed.
The Soul Infusion Breakthrough
| Architecture | Model | Identity in Q4_K_M? |
|---|---|---|
| MoE (35B-A3B) | RavenX-OpenFable-Qwopus-Coder | Yes |
| Dense (12B) | This model | Yes |
Soul Infusion is architecture-agnostic. Patent pending.
Acknowledgments
A huge thank you to the RavenX LLC HuggingFace community for feedback and support!
Special thanks to: OBLITERATUS, Google (Gemma 4), pccr10001 (Power Li), nightmedia, @elder-plinius, Glint Research, HelioAI, Modotte, and the open-source AI community.
Disclaimer
Experimental research proof of concept. AS-IS. Soul Infusion is patent pending and proprietary to RavenX LLC.
Not affiliated with Anthropic, Google, Alibaba, Microsoft, MIT, OBLITERATUS, or Mirai Labs.
About RavenX LLC
Founded by Gabriel Garcia. Building what is not possible.
- GitHub: github.com/DeadByDawn101
- HuggingFace: huggingface.co/deadbydawn101
- Patent: USPTO #64/087,357
The 7GB model that thinks it is 70B. Patent Pending: USPTO #64/087,357 -- Soul Infusion Methodology
- Task
- Text Generation
- Type
- gemma4_unified
- License
- other
- Languages
- en
- Created
- Jun 18, 2026
- Updated
- Jun 19, 2026