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library_name: transformers
---
# OVD checkpoints
Paper checkpoints grouped by training-data size, method, and step.
- `1-data/{rlvr,full,hes,random}/stepN/`: one fixed training problem.
- `128-data/{rlvr,full,hes,random}/stepN/`: 128 distinct training problems.
- `web/`: Web experiment checkpoints, pending identity verification.
Each uploaded checkpoint has its own config, tokenizer, weights, and provenance.
Upload coverage is recorded in `upload_manifest.json`; not all planned folders
are available yet. This first batch covers 12 OVD checkpoints under 128-data
and eight RLVR checkpoints across both data settings.
These are evaluated historical models, not outputs of the recently repaired code.
Optimizer state is not included.
Load a completed checkpoint with
`AutoModelForCausalLM.from_pretrained("menik1126/OVD", subfolder="128-data/rlvr/step300")`.
Use the same subfolder when loading the tokenizer.
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