GSAI-ML · First MLX build 12 Mar 2025
LLaDA-8B-Instruct
MLX
Text mit
A 8B parameter text generation model from GSAI-ML, with 3 MLX builds, from 4-bit to fp16.
- Parameters
- 8B From Hugging Face
- Quantisation
- 4-bit LLaDA-8B-Instruct-mlx-4bit
- Memory needed
- 8 GB Estimate, unified memory
- Download
- 4.5 GB Weights, estimated
- Downloads
- 53 This build, last 30 days
- Task
- Text generation Text
- MLX builds
- 3 On mlx-community
- Devices
- Mac Apple silicon
Memory
Will it fit?Needs about 8 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/LLaDA-8B-Instruct-mlx-4bit --prompt "Hello"MLX builds
3 on mlx-community| LLaDA-8B-Instruct-mlx-4bit | 4-bit | 4.5 GB | 8 GB | 53 |
|---|---|---|---|---|
| LLaDA-8B-Instruct-mlx-8bit | 8-bit | 8.5 GB | 12 GB | 29 |
| LLaDA-8B-Instruct-mlx-fp16 | fp16 | 16.0 GB | 20 GB | 17 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.