8-bit Open on Hugging Face
Parameters
10B
Weights (est.)
≈ 10.9 GB
Mac memory (est.)
16 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/Virtuoso-Lite-8bit --prompt "Hello"
Details
- Base model
- arcee-ai/Virtuoso-Lite (quantized)
- Vendor
- arcee-ai
- Task
- Text generation
- Quantisation
- 8-bit
- Licence
- other
- Downloads
- 27 in the last 30 days · 81 all time · 0 likes
- Published
- 2025-01-30 · updated 2025-01-30 (1y ago)
- Tags
- llama, mergekit, merge
Other MLX builds of arcee-ai/Virtuoso-Lite
| Build | Quantisation | Weights | Mac memory | Downloads |
|---|---|---|---|---|
| Virtuoso-Lite-3bit | 3-bit | ≈ 4.5 GB | 8 GB+ | 29 |
| Virtuoso-Lite | 4-bit | ≈ 5.8 GB | 16 GB+ | 36 |
| Virtuoso-Lite-4bit | 4-bit | ≈ 5.8 GB | 16 GB+ | 29 |
| Virtuoso-Lite-6bit | 6-bit | ≈ 8.4 GB | 16 GB+ | 33 |
| Virtuoso-Lite-8bit (this one) | 8-bit | ≈ 10.9 GB | 16 GB+ | 27 |