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BAAI/bge-m3, for Apple Silicon (~592 MB).
Multilingual text-embedding model (1024-dim dense vectors).pip install -U mlx-embeddings1from mlx_embeddings import load, generate
2
3model, tokenizer = load("TyKaoz/bge-m3-8bit")
4out = generate(model, tokenizer, texts=["Bonjour", "Hello", "你好"])
5print(out.text_embeds.shape) # (3, 1024)| Base | Tool | Precision | Size |
|---|---|---|---|
BAAI/bge-m3 | mlx-embeddings | 8-bit · group 64 | ~592 MB |