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README.md

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-Edit this `README.md` markdown file to author your organization card.
+# NetProjects
+
+**Open models, ready to run on Apple Silicon.**
+
+We convert and test open models for [MLX](https://github.com/ml-explore/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](https://huggingface.co/netprojects/h2o-lightning-4b-mlx-q8) · [q4](https://huggingface.co/netprojects/h2o-lightning-4b-mlx-q4) | Small vision-language model from H2O.ai; reads documents and images |
+| **IBM Granite Switch 4.1** | 8B [8-bit](https://huggingface.co/netprojects/granite-switch-4.1-8b-mlx-8bit) · [4-bit](https://huggingface.co/netprojects/granite-switch-4.1-8b-mlx-4bit) — 30B [8-bit](https://huggingface.co/netprojects/granite-switch-4.1-30b-mlx-8bit) · [4-bit](https://huggingface.co/netprojects/granite-switch-4.1-30b-mlx-4bit) | IBM Granite with switchable chat, decision and guardian modes |
+| **NVIDIA Nemotron Dory 1.0 4B** | [8-bit](https://huggingface.co/netprojects/nemotron-dory1.0-4b-mlx-8bit) · [bf16](https://huggingface.co/netprojects/nemotron-dory1.0-4b-mlx-bf16) | Compact NVIDIA-based model for fast local use |
+| **AutoTrust JEV 35B** | [8-bit](https://huggingface.co/netprojects/JEV-35B-mlx-8bit) · [4-bit mixed](https://huggingface.co/netprojects/JEV-35B-mlx-4bit-mixed) · [3-bit mixed](https://huggingface.co/netprojects/JEV-35B-mlx-3bit-mixed) | AutoTrust decision and classification model |
+| **AutoTrust JEV 27B v1.1** | [8-bit](https://huggingface.co/netprojects/AutoTrust-JEV-27B-v1.1-mlx-8bit) · [4-bit](https://huggingface.co/netprojects/AutoTrust-JEV-27B-v1.1-mlx-4bit) | Decision model with bidirectional prompt reading (custom loader included) |
+
+## How we build
+
+- Conversions use the standard `mlx-lm` / `mlx-vlm` tools; 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
+
+- [h2o-lightning-mlx](https://github.com/internet-projects/h2o-lightning-mlx)
+- [granite-switch-mlx](https://github.com/internet-projects/granite-switch-mlx)
+
+## 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.