OVD Web: Qwen2.5-3B Base, Query Reject5, step 200
This is the actor-only inference checkpoint from a 200-step Web Q&A run. The student started from Qwen2.5-3B Base, revision 3aab1f1954e9cc14eb9509a215f9e5ca08227a9b. Query rejection used threshold 5 and sunhaonlp/Simulation_LLM_google_7B_V2 as teacher; think distillation was disabled. Training used batch size 64, mini-batch size 32, learning rate 1e-6, and four AMD GPUs. The run is logged at W&B.
The three model shards, tokenizer and configuration are included. All three uploaded shard hashes match the training output. A single-prompt GPU load-and-generate smoke test passed. This is not a held-out benchmark evaluation; no benchmark score is claimed here. The checkpoint does not include optimizer state and cannot by itself resume training.
See the OVD model collection for other variants. This Base-model pure-Query run is distinct from the Qwen2.5-3B-Instruct Query+CoT paper checkpoint.