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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.

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Paris99  new activity about 17 hours ago
netprojects/README:Mention GGUF, sort models by downloads, list bf16/8-bit first
Paris99  new activity about 17 hours ago
netprojects/README:Link GGUF collection, mention llama.cpp, order code by popularity
Paris99  updated a collection about 17 hours ago
NetProjects GGUF builds
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NetProjects

Open models, ready to run on Apple Silicon.

We convert and test open models for MLX (and GGUF for llama.cpp), 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
NVIDIA Nemotron Dory 1.0 4B bf16 · 8-bit · NVFP4 4-bit Looped reasoning LM from NVIDIA Nemotron Labs
Tencent DSpine drafter for Qwen3.8-27B drafter Speculative decoding for Qwen3.8-27B: same output, 2.0x faster on 4-bit, 2.9x on 8-bit, 4.3x on bf16, and 2x or more with 33k-token prompts
NVIDIA Nemotron 3.5 Embed / Rerank Embed-1B bf16 · 8-bit — Embed-8B 8-bit · 4-bit — Rerank-8B 8-bit · 4-bit · GGUF Retrieval: embeddings and reranking for text and page images (scores match NVIDIA's published ViDoRe v3 results)
H2O-Lightning 4B q8 · q4 Small calibrated decision model from H2O.ai (text and images, two-way reading, Box questions)
SenseNova-Loop-9B-Preview 8-bit · 6-bit · 4-bit Looped Qwen3.5-based LM from SenseNova (layers 4–27 run twice, two-stream mHC)
Fastino GLiDE 27B 8-bit · 4-bit Calibrated decision model (choice / yes-no / score), midloop, full-attention reading
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)
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 Cosmos3-Edge reasoner 8-bit · 6-bit Vision-language reasoner from NVIDIA: text, image and video in, text out
NVIDIA Cosmos3-Edge video generator 8-bit · bf16 Video generator from NVIDIA: text or a first frame in, video out (text-to-video, image-to-video, text-to-image)
Qwen Concept 27B bf16 · 8-bit · 6-bit (recommended) · 4-bit Qwen3.8-27B edited by Concept Country to reach answers with less thinking; text and images
Laplace-1-Atlas bf16 · 8-bit · 6-bit (recommended) · 4-bit · GGUF Juneo Lab's 27B decision model: scores candidates in one forward pass; JevBench 91.8% (6-bit)

How we build

  • Conversions use the standard mlx-lm / mlx-vlm tools, or llama.cpp for GGUF builds; 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

All builds: MLX collection and GGUF collection.

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.

Collections 2

NetProjects MLX builds
Open models converted and tested for Apple Silicon (MLX) by NetProjects, each checked against the original model.
NetProjects MLX builds
Open models converted and tested for Apple Silicon (MLX) by NetProjects, each checked against the original model.

datasets 0

None public yet