This is not a release. It is an off-site copy of training checkpoints that otherwise existed only on rented GPU instances that can be cancelled without notice. It is public because the free tier caps private storage, not because these weights are ready to use. Each ckpt/ /best/ holds model.safetensors and a RECEIPT.json recording its sha256, byte count and the host it came from, so any copy can be verified against the machine that produced it. These are flat scorers built on Qwen3 backbones: AutoModel plus an fp32 RMSNorm and a Linear(d, 1) head, with a per-question softmax over candidates. They are not chat models and will not respond to prompts. Loading one needs the matching code, and…
Independent publisher
Eklavya Goyal
eklavyagoyal
Models in Library1
Datasets in Library0
Models on Hugging Face1
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