MLX Community · First MLX build 9 Aug 2024
Qwen2-Math-1.5B-Instruct
MLX
Text apache-2.0
A 1.5B parameter text generation model, with 3 MLX builds, from 4-bit to bf16.
- Parameters
- 1.5B From Hugging Face
- Quantisation
- 8-bit Qwen2-Math-1.5B-Instruct-8bit
- Memory needed
- 4 GB Estimate, unified memory
- Download
- 1.6 GB Weights, estimated
- Downloads
- 36 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 4 GB at 8-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-Math-1.5B-Instruct-8bit --prompt "Hello"MLX builds
3 on mlx-community| Qwen2-Math-1.5B-Instruct-4bit | 4-bit | 869 MB | 3 GB | 30 |
|---|---|---|---|---|
| Qwen2-Math-1.5B-Instruct-8bit | 8-bit | 1.6 GB | 4 GB | 36 |
| Qwen2-Math-1.5B-Instruct-bf16 | bf16 | 3.1 GB | 6 GB | 29 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.