feat(showcase): /showcase page + precomputed bundle + READMEs + video script

feat: hand-written 3 Kaggle ipynbs with unsloth install attempt; train_lib disables actor grad-checkpoint + filters Phi3 warning spam (2x faster + clean logs)

fix: drop trust_remote_code so transformers uses native Phi-3/Qwen3 (custom modeling code is incompatible with t>=4.48 DynamicCache API)

fix(kaggle): bump transformers to >=4.51 for Qwen3 (DeepSeek-R1-Qwen3-8B critic)

fix(kaggle): chdir out of WORK before rmtree so re-run git clone succeeds

fix(kaggle): always wipe + re-clone repo so HF_TOKEN-optional fix is picked up

feat(kaggle): use user-pinned mount paths Phi-3.5-mini (actor) + DeepSeek-R1-0528-Qwen3-8B (critic); train_lib: trust_remote_code + adaptive LoRA target_modules for fused-qkv archs

fix(kaggle): switch to Phi-3 (MIT, no access gate) since Llama license requests are disabled

fix(kaggle): use Kaggle Models (Llama-3.2-1B + Llama-3.1-8B) instead of HF download to avoid filling /kaggle/working

fix(kaggle): download Qwen actor+critic from HF Hub instead of Kaggle Models

feat(kaggle): 3 sharded training notebooks + local-critic mode + LoRA merge