Source	This repo
`lthn/lemer-mlx-bf16` (MLX format)	`lthn/lemer-hf-bf16` (HF safetensors)
`language_model.model.*` keys	`model.language_model.*` keys
MLX conv layout (C,K,I) / (O,H,W,I)	PyTorch layout (C,I,K) / (O,I,H,W)

Weights are byte-equivalent to lemer-mlx-bf16 after the key rename + conv permutation — identical LEK alignment, identical behaviour.

Loading

python

from transformers import AutoModelForCausalLM, AutoTokenizer
tok = AutoTokenizer.from_pretrained("lthn/lemer-hf-bf16")
model = AutoModelForCausalLM.from_pretrained(
    "lthn/lemer-hf-bf16",
    dtype="bfloat16",
    device_map="auto",
)

License

EUPL-1.2.