metadata
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.