- lora_utils.py: fix target_modules to match MiniMind arch (q/k/v/o_proj instead of GPT-2 style c_attn/c_proj/c_fc) - train_sft_vlm_lora.py: fix broken vlm_checkpoint call in train_epoch (was passing model/epoch/step/args instead of vlm_config); now saves inline like train_sft_vlm.py; remove unused SkipBatchSampler import - .gitignore: add __pycache__, .claude/, dataset/sft_vlm.parquet |
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| .. | ||
| lora_utils.py | ||
| train_pretrain_vlm.py | ||
| train_sft_vlm.py | ||
| train_sft_vlm_lora.py | ||
| trainer_utils.py | ||