AI & ML interests

On-device and local LLMs on Apple Silicon (MLX), small calibrated decision models, fact-checking and content quality for long-running websites, and open-source tooling for small teams.

Recent Activity

Paris99  updated a model about 15 hours ago
netprojects/granite-switch-4.1-30b-mlx-4bit
Paris99  updated a model about 15 hours ago
netprojects/granite-switch-4.1-30b-mlx-8bit
Paris99  updated a model about 15 hours ago
netprojects/granite-switch-4.1-8b-mlx-4bit
View all activity

Organization Card

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-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

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.

datasets 0

None public yet