Lc0 BT4-spsa-1740

Use with ChessNets

from chessnets.pipelines.lc0 import Lc0Pipeline

pipeline = Lc0Pipeline.from_pretrained("shermansiu/lc0_BT4-spsa-1740")
predictions = pipeline("1. e4 e5")

Checkpoint artifacts

  • config.json: canonical, fully materialized ChessNets architecture config
  • model.safetensors: decoded float32 PyTorch tensors
  • provenance.json: source and conversion hashes
  • original/model.pb.gz: original Lc0 protobuf checkpoint
  • training/original_lczero_training_config.yaml: original training config

The learned protobuf weight layers used LINEAR16 encoding. Conversion decoded those values into float32 tensors; it cannot restore precision already lost in the source encoding.

Intended use and limitations

This is an Lc0 policy/value network. Its playing behavior and strength depend on the source network and the inference/search settings.

Review legal moves and probabilities in context. Outputs are not guarantees of playing strength, fairness, or suitability for high-stakes decisions.

Citation and attribution

Credit the source network identified above and the Leela Chess Zero project. This community checkpoint does not have a model-specific paper citation until the official project supplies one.

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Safetensors
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