Liquid AI · First MLX build 6 Jan 2026
LFM2.5-1.2B-Instruct
MLX
Text lfm1.0
A 1.2B parameter text generation model from Liquid AI, with 6 MLX builds, from 4-bit to bf16.
- Parameters
- 1.2B From Hugging Face
- Quantisation
- 4-bit LFM2.5-1.2B-Instruct-4bit
- Memory needed
- 3 GB Estimate, unified memory
- Download
- 659 MB Weights, estimated
- Downloads
- 5.4K This build, last 30 days
- Task
- Text generation Text
- MLX builds
- 6 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 · mlx-lm$ pip install -U mlx-lm
$ mlx_lm.generate --model mlx-community/LFM2.5-1.2B-Instruct-4bit --prompt "Hello"MLX builds
6 on mlx-community| LFM2.5-1.2B-Instruct-4bit | 4-bit | 659 MB | 3 GB | 5.4K |
|---|---|---|---|---|
| LFM2.5-1.2B-Instruct-OptiQ-4bit | 4-bit | 659 MB | 3 GB | 202 |
| LFM2.5-1.2B-Instruct-5bit | 5-bit | 805 MB | 3 GB | 32 |
| LFM2.5-1.2B-Instruct-6bit | 6-bit | 951 MB | 4 GB | 42 |
| LFM2.5-1.2B-Instruct-8bit | 8-bit | 1.2 GB | 4 GB | 92 |
| LFM2.5-1.2B-Instruct-bf16 | bf16 | 2.3 GB | 5 GB | 59 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.