| --- |
| 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. |
|
|
