emese-tech / er-mlx

Emese-Ér (517M) — MLX q8

MLX q8-quantized build of Ér, the edge/embedded/research tier of the Emese Hungarian model family — a from-scratch 517M-parameter foundation model (not EuroLLM-based). See the er/ repo's README for full architecture, training, and limitations details; this file only covers the q8-specific notes.

Usage

from mlx_lm import load, generate
model, tok = load("er-mlx")
print(generate(model, tok, prompt="A magyar nyelv", max_tokens=100))

Base model only — no chat template. This checkpoint loads via mlx_lm despite its non-standard config.json schema (see the er/ README for why plain transformers can't load either variant).

Training

Identical underlying weights to er/ (bf16), just quantized after the fact — no separate training. See er/README.md for the full from-scratch pretraining details (~4.5B Hungarian tokens, no SFT/DPO).

Benchmarks

Not applicable — see er/README.md : Ér has no chat template or instruction-tuning, so the chat-instruction benchmarks used for the other three tiers ( emese-bench ) don't apply.