MLX Community · First MLX build 2 Apr 2025
nomicai-modernbert-embed-base
MLX
Text apache-2.0
A 149M parameter sentence similarity model, with 4 MLX builds, from 4-bit to bf16.
- Parameters
- 149M From Hugging Face
- Quantisation
- bf16 nomicai-modernbert-embed-base-bf16
- Memory needed
- 3 GB Estimate, unified memory
- Download
- 298 MB Weights, estimated
- Downloads
- 1.6K This build, last 30 days
- Task
- Sentence similarity Text
- MLX builds
- 4 On mlx-community
- Devices
- Mac Apple silicon
Memory
Will it fit?Needs about 3 GB at bf16
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/nomicai-modernbert-embed-base-bf16MLX builds
4 on mlx-community| nomicai-modernbert-embed-base-4bit | 4-bit | 84 MB | 3 GB | 310 |
|---|---|---|---|---|
| nomicai-modernbert-embed-base-6bit | 6-bit | 121 MB | 3 GB | 180 |
| nomicai-modernbert-embed-base-8bit | 8-bit | 158 MB | 3 GB | 235 |
| nomicai-modernbert-embed-base-bf16 | bf16 | 298 MB | 3 GB | 1.6K |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.