Google · First MLX build 18 Sept 2024
gemma-2-9b-it
MLX
Text gemma
A 9.2B parameter text generation model from Google, with 2 MLX builds at 6-bit.
- Parameters
- 9.2B From Hugging Face
- Quantisation
- 6-bit gemma-2-9b-it-6bit
- Memory needed
- 11 GB Estimate, unified memory
- Download
- 7.5 GB Weights, estimated
- Downloads
- 68 This build, last 30 days
- Task
- Text generation Text
- MLX builds
- 2 On mlx-community
- Devices
- Mac Apple silicon
Memory
Will it fit?Needs about 11 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/gemma-2-9b-it-6bit --prompt "Hello"MLX builds
2 on mlx-community| gemma-2-9b-it-6bit | 6-bit | 7.5 GB | 11 GB | 68 |
|---|---|---|---|---|
| gemma-2-9b-it-SimPO | Unstated | 18.5 GB | 23 GB | 27 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.