Alibaba Qwen · First MLX build 11 Nov 2024
Qwen2.5-Coder-0.5B
MLX
Text apache-2.0
A 494M parameter text generation model from Alibaba Qwen, with 4 MLX builds, from 4-bit to bf16.
- Parameters
- 494M From Hugging Face
- Quantisation
- 4-bit Qwen2.5-Coder-0.5B-4bit
- Memory needed
- 3 GB Estimate, unified memory
- Download
- 278 MB Weights, estimated
- Downloads
- 110 This build, last 30 days
- Task
- Text generation Text
- MLX builds
- 4 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/Qwen2.5-Coder-0.5B-4bit --prompt "Hello"MLX builds
4 on mlx-community| Qwen2.5-Coder-0.5B-4bit | 4-bit | 278 MB | 3 GB | 110 |
|---|---|---|---|---|
| Qwen2.5-Coder-0.5B-4bit-gs32 | 4-bit | 278 MB | 3 GB | 63 |
| Qwen2.5-Coder-0.5B-8bit | 8-bit | 525 MB | 3 GB | 99 |
| Qwen2.5-Coder-0.5B-bf16 | bf16 | 988 MB | 4 GB | 86 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.