Parameters
7.2B
Weights (est.)
≈ 28.7 GB
Mac memory (est.)
48 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/Starling-LM-7B-beta --prompt "Hello"
Details
- Base model
- —
- Vendor
- —
- Task
- Text generation
- Quantisation
- Not stated
- Licence
- apache-2.0
- Downloads
- 32 in the last 30 days · 529 all time · 2 likes
- Published
- 2024-03-28 · updated 2024-03-28 (2y ago)
- Languages
- en
- Tags
- mistral, reward model, RLHF, RLAIF