Liquid AI · First MLX build 30 Oct 2026
d1-2B
MLX
Text lfm1.0 New
A 1.7B parameter text classification model from Liquid AI, with one MLX build at 4-bit.
- Parameters
- 1.7B From Hugging Face
- Quantisation
- 4-bit d1-2B-OptiQ-4bit
- Memory needed
- 4 GB Estimate, unified memory
- Download
- 973 MB Weights, estimated
- Downloads
- 126 This build, last 30 days
- Task
- Text classification Text
- MLX builds
- 1 On mlx-community
- Devices
- Mac Apple silicon
Memory
Will it fit?Needs about 4 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/d1-2B-OptiQ-4bitMLX builds
1 on mlx-community| d1-2B-OptiQ-4bit | 4-bit | 973 MB | 4 GB | 126 |
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Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.