Alibaba Qwen · First MLX build 17 Feb 2025
Qwen2.5-Coder-1.5B-Instruct
MLX
Text apache-2.0
A 1.5B parameter text generation model from Alibaba Qwen, with one MLX build at 6-bit.
- Parameters
- 1.5B From Hugging Face
- Quantisation
- 6-bit Qwen2.5-Coder-1.5B-Instruct-Q6
- Memory needed
- 4 GB Estimate, unified memory
- Download
- 1.3 GB Weights, estimated
- Downloads
- 120 This build, last 30 days
- Task
- Text generation Text
- MLX builds
- 1 On mlx-community
- Devices
- Mac Apple silicon
Memory
Will it fit?Needs about 4 GB at 6-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-1.5B-Instruct-Q6 --prompt "Hello"
MLX builds
1 on mlx-community| Qwen2.5-Coder-1.5B-Instruct-Q6 | 6-bit | 1.3 GB | 4 GB | 120 |
|---|
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.