MLX Community · First MLX build 17 Feb 2025
DeepScaleR-1.5B-6
MLX
Text mit
A 1.8B parameter text generation model, with one MLX build at 5-bit.
- Parameters
- 1.8B From Hugging Face
- Quantisation
- 5-bit DeepScaleR-1.5B-6.5bit
- Memory needed
- 4 GB Estimate, unified memory
- Download
- 1.2 GB Weights, estimated
- Downloads
- 42 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 5-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/DeepScaleR-1.5B-6.5bit --prompt "Hello"MLX builds
1 on mlx-community| DeepScaleR-1.5B-6.5bit | 5-bit | 1.2 GB | 4 GB | 42 |
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Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.