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Download README.md from netprojects/README: direct link, hf CLI and curl.
- Browser
- Download file 2.68 kB
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https://huggingface.co/spaces/netprojects/README/resolve/main/README.md
- Command line
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hf download hf://spaces/netprojects/README/README.md
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curl -L -o README.md https://huggingface.co/spaces/netprojects/README/resolve/main/README.md
2.68 kB
metadata
title: README
emoji: 🍎
colorFrom: gray
colorTo: blue
sdk: static
pinned: false
NetProjects
Open models, ready to run on Apple Silicon.
We convert and test open models for MLX, so they run locally on a Mac with no cloud and no API keys. We check every build against the original model before it goes up, and we publish speed numbers from real hardware (MacBook Pro M5 Max, 128 GB).
Models
| Family | Builds | What it's for |
|---|---|---|
| H2O-Lightning 4B | q8 · q4 | Small vision-language model from H2O.ai; reads documents and images |
| IBM Granite Switch 4.1 | 8B 8-bit · 4-bit — 30B 8-bit · 4-bit | IBM Granite with switchable chat, decision and guardian modes |
| NVIDIA Nemotron Dory 1.0 4B | 8-bit · bf16 | Compact NVIDIA-based model for fast local use |
| AutoTrust JEV 35B | 8-bit · 4-bit mixed · 3-bit mixed | AutoTrust decision and classification model |
| AutoTrust JEV 27B v1.1 | 8-bit · 4-bit | Decision model with bidirectional prompt reading (custom loader included) |
How we build
- Conversions use the standard
mlx-lm/mlx-vlmtools; where a model needs custom code, the loader is open source on GitHub. - Each card says which upstream revision it was built from, how it was quantized and how it was checked, with speed and memory measured on an M5 Max.
- Licences follow the original model.
Code
Also
We also work on small calibrated decision models, fact-checking and content quality for long-running websites, and open-source tooling for small teams.
Spotted a problem or want a model converted? Open a discussion on any model page.