MLX Community · First MLX build 4 Sept 2025
embeddinggemma-300m
MLX
Text gemma
A 308M parameter sentence similarity model, with 5 MLX builds, from 4-bit to bf16.
- Parameters
- 308M From Hugging Face
- Quantisation
- 4-bit embeddinggemma-300m-4bit
- Memory needed
- 3 GB Estimate, unified memory
- Download
- 173 MB Weights, estimated
- Downloads
- 1.5K This build, last 30 days
- Task
- Sentence similarity Text
- MLX builds
- 5 On mlx-community
- Devices
- Mac Apple silicon
Memory
Will it fit?Needs about 3 GB at 4-bit
8 GB
16 GB
24 GB
32 GB
64 GB
128 GB
Fits with headroomTight, close other appsWon’t fit
Estimated from the size of the weights, plus a fifth for context and working memory and 2 GB for macOS and your apps. Long contexts need more.
Run it
Terminal · Hugging Face CLI$ pip install -U huggingface_hub
$ hf download mlx-community/embeddinggemma-300m-4bitMLX builds
5 on mlx-community| embeddinggemma-300m-4bit | 4-bit | 173 MB | 3 GB | 1.5K |
|---|---|---|---|---|
| embeddinggemma-300m-5bit | 5-bit | 212 MB | 3 GB | 98 |
| embeddinggemma-300m-6bit | 6-bit | 250 MB | 3 GB | 166 |
| embeddinggemma-300m-8bit | 8-bit | 327 MB | 3 GB | 559 |
| embeddinggemma-300m-bf16 | bf16 | 615 MB | 3 GB | 505 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.