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google/gemma-4-E2B-it, quantized to int4
(group size 64) for on-device use on Apple Silicon. Built by our own pipeline via mlx_lm.convert
(mlx_lm >= 0.31.3).| Base | Gemma 4 E2B (Effective-2BB; Per-Layer Embeddings + cross-layer KV sharing) |
| Quantization | int4, group size 64 |
| Runtime | MLX (mlx_lm) |
Note: the source repo is multimodal (model_type: gemma4, vision + audio towers); this is the full model quantized. The conversion drops the 60 redundant k/v weights stored for the KV-shared layers (strict=False) — the architecture shares that KV, so those weights are unused.
mlx_lm.convert (Apple MLX) — MIT.