4-bit Open on Hugging Face
Parameters
514M
Weights (est.)
≈ 289 MB
Mac memory (est.)
8 GB+
Size is estimated from the parameter count and quantisation. Memory allows a fifth extra for context plus 2 GB for the system; long contexts need more.
Run it
With mlx-lm on an Apple silicon Mac:
pip install mlx-lmmlx_lm.generate --model mlx-community/h2o-danube3-500m-chat --prompt "Hello"
Details
- Base model
- h2oai/h2o-danube3-500m-chat (quantized)
- Vendor
- h2oai
- Task
- Text generation
- Quantisation
- 4-bit
- Licence
- apache-2.0
- Downloads
- 40 in the last 30 days · 376 all time · 0 likes
- Published
- 2025-01-24 · updated 2025-01-24 (1y ago)
- Languages
- en
- Tags
- llama, large language model, h2o-llmstudio