Parameters
—
Weights (est.)
—
Mac memory (est.)
—
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/OpenHermes-2.5-Mistral-7B --prompt "Hello"
Details
- Base model
- —
- Vendor
- —
- Task
- Text generation
- Quantisation
- Not stated
- Licence
- apache-2.0
- Downloads
- 114 in the last 30 days · 2.4K all time · 6 likes
- Published
- 2023-12-21 · updated 2024-02-10 (2y ago)
- Languages
- en
- Tags
- mlx-llm, mistral, openhermes