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| license: other |
| tags: [inference-engine, arabic, ternary, moe, research] |
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| # FAIE: an experimental inference engine |
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| FAIE is research **code** for local inference of large Mixture-of-Experts models on consumer hardware. It covers layer and expert paging, ternary and low-bit kernels (`ternary_kernel.cu`), dequantization, an Arabic-root tokenizer probe, and proof scripts. |
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| **This is an inference engine, not a model.** The weights converted by FAIE (about 53 GB, per-layer and per-expert files) are **not redistributed here**, pending confirmation of the source model's license. |
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| ## What's here |
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| - Engine and kernels: `faie.py`, `faie_kernel.py`, `faie_runner.py`, `faie_generate.py`, `ternary_kernel.cu`, `ternary.py`, `quant_repack.py`, `fast_dequant.py` |
| - Conversion: `faie_convert.py`, `run_conversion.py`, `reconstruct_layer.py`, `gguf_analyze.py` |
| - Research modules: `neocortex.py`, `hive.py`, `memory.py`, `kan.py`, `liquid.py`, `poincare.py`, `wave.py`, `ttt.py` |
| - Proof scripts and small result JSONs: `prove_*.py`, `faie_*_proof.json` (raw local results, not independently verified) |
| - Docs: `THE_BRAIN_SPEC.md`, `ROOT_CALCULUS.md`, `FAIE_HANDOFF_TO_FABLE.md`, `NEXT_AGENT_INSTRUCTIONS.md` |
| - `cloud/`: QLoRA distillation scripts. `data/`: Quranic-root corpus parsers. |
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| Run logs, caches and converted weights are left out on purpose. Treat everything here as experimental. |
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| ## About the lab |
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| ABUZ8 is a one-person lab. Ahmad builds it alone, with no team and no funding, and has spent the last year living inside AI work. The long-term goal is the **SUPERBRAIN fusion**: Arabic-root reasoning (SUPERBRAIN), tool use and memory (Qadir), fast local inference (FAIE) and new architecture experiments (MUTHALLATH), all joined in one open system. |
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| - Code (GitHub): https://github.com/abuz8studios-ship-it |
| - Site: https://abuz8ai.com |
| - X: https://x.com/AbuZ8Studios |
