Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up
pipenetwork 's Collections
Qwen3.8-2.4T-A95B MLX (REAP)
Muse-Glimmer 30B MLX
MiniMax-H3 MLX
Inkling-Small · MLX
Inkling · MLX
DeepSeek-V4-Flash · MLX
Nemotron TwoTower · MLX
Qwen3.6-35B-A3B — MLX
Ornith-1.0-397B — MLX
GLM-5.2 REAP (expert-pruned)
GLM-5.2 MLX
VISTA MLX
Rio-3.1-Open-30B MLX
Gemma-4-26B-A4B-it MLX
Gemma-4-31B-it MLX
Kimi-K2.7-Code MLX
MiniMax-M3 MLX
Holo-3.1 MLX (computer-use)
Frog (SWE/debugging) MLX
Nemotron-3 MLX (Apple Silicon)

Nemotron-3 MLX (Apple Silicon)

updated Jul 15

MLX quants of NVIDIA Nemotron-3 for Apple Silicon: Ultra 550B (4/5/6/8-bit) and dense Nano-4B (4/8-bit), converted with mlx-lm.

Upvote
-

  • pipenetwork/NVIDIA-Nemotron-3-Ultra-550B-A55B-MLX-4bit

    Text Generation • 549B • Updated Jun 5 • 120

    Note Ultra 550B 4-bit (~288GB) - recommended, single 512GB M3 Ultra


  • pipenetwork/NVIDIA-Nemotron-3-Ultra-550B-A55B-MLX-8bit

    Text Generation • 549B • Updated Jun 5 • 78

    Note Ultra 550B 8-bit (~584GB) - multi-Mac shard


  • pipenetwork/NVIDIA-Nemotron-3-Nano-4B-MLX-8bit

    1B • Updated Jun 5 • 4

    Note Nano 4B 8-bit (~4GB) - near-lossless, 16GB+ Macs


  • pipenetwork/NVIDIA-Nemotron-3-Nano-4B-MLX-4bit

    0.6B • Updated Jun 5 • 2

    Note Nano 4B 4-bit (~2GB) - smallest

Upvote
-
  • Collection guide
  • Browse collections
Company
TOS Privacy About Careers
Website
Models Datasets Spaces Pricing Docs