Parameters
438M
Weights (est.)
≈ 1.8 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/nesso-0.4B-agentic-mlx --prompt "Hello"
Details
- Base model
- mii-llm/nesso-0.4B-agentic (finetune)
- Vendor
- mii-llm
- Task
- Text generation
- Quantisation
- Not stated
- Licence
- apache-2.0
- Downloads
- 25 in the last 30 days · 461 all time · 0 likes
- Published
- 2026-05-08 · updated 2026-05-08 (6mo ago)
- Languages
- it, en
- Tags
- llama, small-language-model, edge-ai, italian, bilingual, function-calling, agentic, structured-output, tool-use