4-bit Open on Hugging Face
Parameters
1.8B
Weights (est.)
≈ 1.1 GB
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-danube2-1.8b-chat-4bit --prompt "Hello"
Details
- Base model
- —
- Vendor
- —
- Task
- Text generation
- Quantisation
- 4-bit
- Licence
- apache-2.0
- Downloads
- 27 in the last 30 days · 410 all time · 0 likes
- Published
- 2024-04-09 · updated 2024-04-09 (2y ago)
- Languages
- en
- Tags
- mistral, large language model, h2o-llmstudio