| """Shared chat-generation helper. | |
| apply_chat_template returns a BatchEncoding (dict) on recent transformers, so it must be | |
| passed to generate() as **kwargs, not positionally. Centralized here so every call site | |
| (judge, curator, critique-revise, evalgate) is consistent. | |
| """ | |
| import torch | |
| def chat_generate(model, tok, messages, max_new_tokens=512, do_sample=False, **kw): | |
| enc = tok.apply_chat_template(messages, add_generation_prompt=True, | |
| return_tensors="pt", return_dict=True) | |
| enc = {k: v.to(model.device) for k, v in enc.items()} | |
| with torch.no_grad(): | |
| out = model.generate(**enc, max_new_tokens=max_new_tokens, do_sample=do_sample, **kw) | |
| return tok.decode(out[0][enc["input_ids"].shape[1]:], skip_special_tokens=True) | |