minimind/trainer
Justin Guese c3199c7240 [update] 把 num_experts / num_experts_per_tok 暴露到命令行
此前要改专家数只能去编辑 model_minimind.py。三个入口
(train_pretrain / train_full_sft / eval_llm)的默认值与 MiniMindConfig
一致(4 / 1),默认行为不变;RL 与 agent 相关的 trainer 不动。
2026-09-03 15:13:29 +07:00
..
rollout_engine.py [fix] inference bug 2026-05-03 20:48:48 +08:00
train_agent.py [fix] ddp exit hang 2026-06-01 17:50:39 +08:00
train_distillation.py [fix] ddp exit hang 2026-06-01 17:50:39 +08:00
train_dpo.py [fix] ddp exit hang 2026-06-01 17:50:39 +08:00
train_full_sft.py [update] 把 num_experts / num_experts_per_tok 暴露到命令行 2026-09-03 15:13:29 +07:00
train_grpo.py [fix] ddp exit hang 2026-06-01 17:50:39 +08:00
train_lora.py [fix] ddp exit hang 2026-06-01 17:50:39 +08:00
train_ppo.py [refactor] PPO cleanup 2026-07-23 11:11:05 +08:00
train_pretrain.py [update] 把 num_experts / num_experts_per_tok 暴露到命令行 2026-09-03 15:13:29 +07:00
train_tokenizer.py [update] minimind-3 2026-03-25 23:57:45 +08:00
trainer_utils.py [update] minimind-3 2026-03-25 23:57:45 +08:00