abuz8studios
/

FAIE

@@ -1,29 +1,29 @@
----
-license: other
-tags: [inference-engine, arabic, ternary, moe, research]
----
-# FAIE: an experimental inference engine
-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.
-**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.
-## What's here
-- 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.
-Run logs, caches and converted weights are left out on purpose. Treat everything here as experimental.
-## About the lab
-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.
-- GitHub: https://github.com/abuz8studios-ship-it
-- Site: https://abuz8ai.com
-- X: https://x.com/AbuZ8Studios

+---
+license: other
+tags: [inference-engine, arabic, ternary, moe, research]
+---
+# FAIE: an experimental inference engine
+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.
+**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.
+## What's here
+- 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.
+Run logs, caches and converted weights are left out on purpose. Treat everything here as experimental.
+## About the lab
+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.
+- Code (GitHub): https://github.com/abuz8studios-ship-it/faie
+- Site: https://abuz8ai.com
+- X: https://x.com/AbuZ8Studios