h2oai · First MLX build 24 Jan 2025
h2o-danube3-500m-chat
MLX
Text apache-2.0
A 514M parameter text generation model from h2oai, with one MLX build at 4-bit.
- Parameters
- 514M From Hugging Face
- Quantisation
- 4-bit h2o-danube3-500m-chat
- Memory needed
- 3 GB Estimate, unified memory
- Download
- 289 MB Weights, estimated
- Downloads
- 40 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 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/h2o-danube3-500m-chat --prompt "Hello"MLX builds
1 on mlx-community| h2o-danube3-500m-chat | 4-bit | 289 MB | 3 GB | 40 |
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Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.