lmxlab
Transformer language models on Apple Silicon, built with MLX.
Install
pip install lmxlab
Requires Python 3.12+ and Apple Silicon (M1+). MLX runs on Intel/Linux too, but CPU-only.
Usage
import mlx.core as mx
from lmxlab.models.llama import llama_config
from lmxlab.models.base import LanguageModel
config = llama_config(vocab_size=32000, d_model=512, n_heads=8, n_kv_heads=4, n_layers=6)
model = LanguageModel(config)
mx.eval(model.parameters())
tokens = mx.array([[1, 234, 567]])
logits, caches = model(tokens)
Architecture variants (GPT, LLaMA, DeepSeek, Gemma, Qwen, Mixtral, etc.) are config factories — same LanguageModel class, different settings.
CLI
lmxlab list # Show available architectures
lmxlab info llama --tiny # Config details
lmxlab count deepseek --detail # Parameter breakdown
Docs
Full API docs at michaelellis003.github.io/lmxlab.
Development
git clone https://github.com/michaelellis003/lmxlab.git
cd lmxlab
uv sync --extra dev
uv run pre-commit install
uv run pytest
License
MIT
1 maintainer
Metadata
1 maintainer
Release files for lmxlab 0.4.0
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