Lc0 BT4-spsa-1740
config.yaml: OriginallyBT4-init1.yaml, obtained from Discord.- The model was originally downloaded from: https://storage.lczero.org/files/networks-contrib/big-transformers/BT4-1740.pb.gz
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 configmodel.safetensors: decoded float32 PyTorch tensorsprovenance.json: source and conversion hashesoriginal/model.pb.gz: original Lc0 protobuf checkpointtraining/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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