README.md

metadata

title: Occamy Checkpoint Explorer
emoji: 🐉
colorFrom: green
colorTo: blue
sdk: static
app_file: index.html
pinned: true
license: apache-2.0
models:
  - Accio-Lab/occamy-1.0
  - Accio-Lab/occamy-1.0-GGUF
  - Accio-Lab/occamy-1.0-APEX-GGUF
  - Accio-Lab/occamy-1.0-FP8
  - Accio-Lab/occamy-1.0-NVFP4
  - Accio-Lab/occamy-1.0-MLX-8bit
  - Accio-Lab/occamy-1.0-MLX-6bit
  - Accio-Lab/occamy-1.0-MLX-5bit
  - Accio-Lab/occamy-1.0-MLX-mxfp8
  - Accio-Lab/occamy-1.0-MLX-mxfp4
  - Accio-Lab/occamy-1.0-MLX-nvfp4
  - Accio-Lab/occamy-1.0-MLX-4bit
  - Accio-Lab/occamy-1.0-MLX-3bit
  - Accio-Lab/occamy-1.0-MTP
short_description: Compare Occamy weights and copy deployment commands.

Occamy Checkpoint Explorer

The official Occamy model selection, download and deployment guide. Compare twenty-four GGUF options (seventeen standard recipes and seven APEX profiles, including calibrated variants and Mini), BF16/FP8/NVFP4 server checkpoints, MLX 3/4/5/6/8-bit and MXFP4/MXFP8/NVFP4 candidates and the experimental MTP head.

This static Space runs in the browser with no inference backend or paid compute. It provides links and deployment recipes; it does not run the 35B model or download weights automatically.

Sizes come from inspected Hub file metadata. The optional weight-budget filter checks file sizes only: KV cache, runtime buffers, images and operating-system memory require additional space. Runtime claims and validation limits are shown for each selection. Mac Metal acceptance of the MLX candidates is pending.

See the Occamy collection, MLX collection, model card, and paper.

MLX selections offer a single prompt recipe or a local API server, with a separate curl request and client base URL. Native Linux checks for the new 5-bit and floating-format exports include eight authored inference fixtures, two HTTP API checks and paired held-out BF16 subset PPL. Full APEX calibration coverage and measured per-profile quality are documented in its model card. Mac Metal acceptance remains pending.

Related paper

This deployment guide accompanies Occamy-1.0: Open Pareto-frontier 35B Intelligence for Co-work. The released training data has the full paper citation.

The visual style follows the current project website: white background, Inter text, a Newsreader wordmark and the same green accent.