OMEGA V21 - Full Merged GGUF
Autonomous AI agent fine-tuned on OBLITERATED Gemma 4 E4B for Android/Termux deployment.
Files (5 quantization levels)
| File | Size | Use Case | Quality |
|---|---|---|---|
| omega-v21-F16.gguf | ~15 GB | Maximum quality, reference | Perfect |
| omega-v21-Q8_0.gguf | ~8.0 GB | Highest practical quality | Excellent |
| omega-v21-Q6_K.gguf | ~6.2 GB | Balanced (recommended) | Very Good |
| omega-v21-Q5_K_M.gguf | ~5.7 GB | Lighter, good quality | Good |
| omega-v21-Q4_K_M.gguf | ~5.3 GB | Smallest, mobile-friendly | Acceptable |
Quick Start on Termux (Android)
pkg install llama-cpp
wget https://huggingface.co/Abdllahd/OMEGA-V21-Full-Merged-GGUF/resolve/main/omega-v21-Q6_K.gguf
llama-cli \
-m omega-v21-Q6_K.gguf \
--ctx-size 4096 \
--threads $(nproc) \
-cnv \
--chat-template gemma \
--temp 0.3
Features
- 0% refusal rate (OBLITERATED base)
- Bilingual: Arabic (70%) + English (30%)
- ReAct reasoning with 6-point think structure
- Real bash code (no placeholders)
- Termux/PRoot-aware
- Runs on 7.6GB RAM Android devices (Q4/Q5)
Hardware Requirements
| Quant | Min RAM | Speed on Android |
|---|---|---|
| F16 | 18 GB | Reference only |
| Q8_0 | 10 GB | ~2 t/s |
| Q6_K | 8 GB | ~3 t/s |
| Q5_K_M | 7 GB | ~3-4 t/s |
| Q4_K_M | 6 GB | ~4 t/s |
Part of OMEGA v22 Architecture
Four-layer autonomous agent:
- Spiders (data collectors)
- Tools (action executors)
- Orchestrator (this model)
- SpatialCache (memory system)
Training Details
- Base: OBLITERATUS/gemma-4-E4B-it-OBLITERATED (0% refusal)
- Method: LoRA fine-tuning (rank 64)
- Dataset: 10,000 bilingual examples (Arabic/English)
- Format: Strict JSON with think reasoning + bash code blocks
Related Repositories
- LoRA only: https://huggingface.co/Abdllahd/OMEGA-V21-Gemma4-LoRA-GGUF
- Base backup: https://huggingface.co/Abdllahd/OMEGA-Gemma4-E4B-OBLITERATED-Base-Backup
- Full merged (this): https://huggingface.co/Abdllahd/OMEGA-V21-Full-Merged-GGUF
License
Apache 2.0 (inherited from OBLITERATED base)