Downloads / versioned evidence
Choose a checkpoint before downloading.
Match every artifact to its model and experiment. Availability differs across releases; old packages are not current-model bundles.
Current model: CM-7
Start with CM-7 reproduction instructions for browser weights, source, hashes, training counts and all 120 evaluation PGNs. Full curriculum payloads and resumable optimizer checkpoints are not bundled. This is not a turnkey replay of training.
Checkpoint registry · Browse source · Replay or download individual games
Earlier releases
- CM-4 weights and training/evaluation artifacts.
- CM-6 evaluation PGNs and audited metrics.
- CM-5 is documented in EXP-7; it is not a complete downloadable training bundle.
CM-2 pilot and CM-3 baseline packages
The historical release below retains its original files and checksums.
No resume checkpoints, optimizer state or private human-test games. Large archives are split into numbered parts; join and verify them before extraction.
Reproduction instructions · Release manifest · SHA-256 checksums
Download and verify everything
curl --fail --output download.py https://artifacts.littleply.com/v1/2026-10-28/download.py python3 download.py
Inspect the download helper. It checks each part, joins split archives and checks the complete archive. Requires Python 3 and curl. Model export reader loads safetensors without optimizer state.
CM-3 / Monthly filtered raw PGN
430.49 MB compressed · 3 download parts
Part 1 of 3 (200.00 MB) · Part 2 of 3 (200.00 MB) · Part 3 of 3 (30.49 MB)
Complete archive SHA-256
870ac2af018b938d1c5de372fc7b7641927870d1114f702228c5d52016be74b9CM-3 / Monthly tokenized dataset
183.33 MB compressed · 1 download
Complete archive SHA-256
c29b80e37436266d3a7a371e4ee09c2009c474a460821c73322c55873ef7b320CM-2 / Pilot filtered raw PGN
0.45 MB compressed · 1 download
Complete archive SHA-256
5d657e97fc6ffdc8d19af3d58ab95c51b9c2012757584a37571f43f914b92ad8CM-2 / Pilot tokenized dataset
0.49 MB compressed · 1 download
Complete archive SHA-256
d678ffb1d80228477d2a4d80313bc401c5d58cb95369587450dae48021c95dcbCM-3 / Monthly model weights + config
319.75 MB compressed · 2 download parts
Part 1 of 2 (200.00 MB) · Part 2 of 2 (119.75 MB)
Complete archive SHA-256
f8f81e373cd2a68e2bbe9eb46148f2b75ca9f516f300efbef2fb735d1aa52913CM-2 / Pilot model weights + config
319.35 MB compressed · 2 download parts
Part 1 of 2 (200.00 MB) · Part 2 of 2 (119.35 MB)
Complete archive SHA-256
228fda53011822524fd5c513aaca809662e2639ab208dd9be07d8e744645319aCM-3 / Versioned source snapshots
0.05 MB compressed · 1 download
Complete archive SHA-256
f89a314aa665380c7017652e1504b509328d795f5d61d738450cc0c91e6248e6
What is reproducible here?
Exported tensors exactly match the original model tensors. Token/offset bytes and public corpus metadata are preserved; dataset manifest paths are sanitized with original hashes recorded. Pilot historical training source is unavailable. Historical launch receipts and machine configuration are not distributed, so this is not a turnkey or bit-identical cross-hardware training replay. Follow the linked instructions and source pipeline for the boundaries.
Licensing and full upstream data
Lichess database-derived data are CC0. Original project source is Apache-2.0. Read the licensing declaration and download the new Apache-2.0 source bundle with its manifest and checksums. Historical R2 archives are byte-for-byte unchanged; their older licensing notes are superseded for original code by this declaration. Model archives retain their existing recorded terms; this source-license addendum does not relabel data or third-party code. The 29.22 GB full September archive is not duplicated here: its official URL and SHA-256 are in the release manifest. The monthly filtered raw PGN contains the header-qualified staging input before final deduplication and context exclusions.