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trainer: skip completed phases / resume mid-phase + update context

Force line-buffered stdout for real-time log output in docker

Fix gradient checkpointing: enable_input_require_grads for PEFT without torch.compile

Fix hidden_size: 4096 -> 3584 to match Qwen2.5-Coder-7B-Instruct

Add WebSight vision data pipeline: download script, image-aware data loader, phase data routing

Fix Phase 2: fusion layer processes text-only via learnable residual gate for gradient flow

Fix: register LLM as nn.Module submodule so optimizer finds LoRA params

Add GPU diagnostic script, fix architecture loading with low_cpu_mem_usage and sync

Day 3 COMPLETE: Full model architecture

Day 1 Complete: Tokenizer setup — Qwen2.5-Coder-7B base + 22 MINDI special tokens (vocab 151,685), wrapper class, full format test

feat: initial project scaffold for MINDI 1.5 Vision-Coder