20 · Founder · Paris
I build AI infrastructure for constrained environments — the edges where most systems stop working.
Available for contract work — Apple Silicon LLM inference: KV-cache optimization, quantization, speculative decoding, throughput tuning. → contact@aeternitatis.eu
Student-Entrepreneur — Pépite PEIPS, Université Paris-Saclay (SNEE) ORCID: 0009-0001-5727-2475
- First GGUF quants of MiniMax-M2.5 & M2.7 (229B MoE) — used and recommended by the llama.cpp / r/LocalLLaMA community
- llama.cpp PRs merged and cited as prior work by core maintainers
- Native MLX speculative decoding port — 3.41× faster inference on Apple Silicon
| PR | What it does | Status |
|---|---|---|
| llama.cpp #20075 | Fix state corruption in speculative decoding on hybrid SSM/MoE models. +45% inference speed on Apple Silicon Metal. | Merged · cited as prior work in #20428 + #20649 |
| llama.cpp #20649 | Diagnostic + flake8 fix for Mistral Small 4 (119B MoE). | Merged · cited alongside ggerganov + ngxson |
| unslothai/unsloth #4901 | Fix RoPE offset cast crashing Gemma 4 inference on Apple Silicon. | Merged by danielhanchen (creator) |
| StepFun Cookbook #14 | Local deployment architecture for Step-3.5-Flash on Apple Silicon. | Merged |
| Project | Description |
|---|---|
| mlx-dflash | Native MLX port of DFlash speculative decoding. 3.41× faster inference on Apple Silicon — Qwen3-8B bf16, M3 Max 128GB, 1024 tokens. Acceptance 8.75/16. Single mx.eval() per step, intra-GPU verify_ids. |
| LACE | Semantic compression under LoRa/SMS physical constraints. Cognitive Emergence Law: N/K < C·d_cog, C_emp=0.391≈1/e. K=16 optimal deployment parameter (p=0.0034). Preprint: HAL hal-05596229 · Zenodo 10.5281/zenodo.19664121 |
| mythos-distillation | Behavioral distillation into Gemma 4 26B MoE via LoRA (r=64, 30 layers). 551 pairs, val loss 1.398, 7/7 out-of-distribution questions generalized without system prompt. 80 t/s on M3 Max. |
| patent-low-bandwidth-ai | Reference gateway for stateful LLM dialogue over 2G / SMS. Companion implementation to patent FR2511116 (architecture). |
| Phantom | On-device behavioral AI OS. Two-Tower (LSTM 256d + action embeddings), full RLHF loop via local Qwen 122B as reward model. MLX, zero cloud. |
| VoxTape | Local voice dictation for macOS. MLX Whisper on Metal GPU: 8.3s audio → 0.4s inference (20× real-time). Open-source alternative to SuperWhisper. |
| benchmark-422-qec | 11 LLMs (cloud + local M3 Max) on the [[4,2,2]] CritPt QEC problem. 0/11 correct. Failure patterns documented. |
Models — HuggingFace (ox-ox)
| Repo | Description | Downloads |
|---|---|---|
| MiniMax-M2.7-GGUF | First GGUF quants of MiniMax-M2.7 (229B MoE). Q3_K_L + Q8_0. PPL 8.44 · 28.52 t/s. | 522 |
| MiniMax-M2.5-GGUF | First GGUF quants of MiniMax-M2.5 (229B MoE). PPL 8.79 · 28.7 t/s. Recommended by llama.cpp community. | 437 |
| mythos-character-distillation | 551 behavioral pairs for Mythos-style LoRA distillation. | 66 |
| lace-semantic-compression | 198 operational tasks (defense / medical / industrial), VQ codebook, LACE v2 dataset. | 40 |
FR2511116 — Hybrid State-Preserving Gateway for LLM Inference over Low-Bandwidth Protocols (2G / SMS / LoRa / satellite) Filed: Sep 27, 2025 · INPI · 11 claims · examination in progress
Inference — llama.cpp · MLX · Metal · GGUF · speculative decoding AI/ML — LoRA · Transformers · VQ-VAE · RAG (ChromaDB) · Whisper · RLHF Protocols — LoRa / 2G / SMS / satellite · Flask gateway Languages — Python · C++ Infra — Tailscale · bare-metal homelab · M3 Max 128GB
LinkedIn · Substack · HuggingFace · ORCID