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Fix saliency (len(models) bug), cache demo LLM outputs

Speed: cap saliency at 2 models, 60s LLM timeout

Fix saliency: enable_grad + debug logging

Add openai package for vLLM client

Add amd-hackathon-2026 tag for discoverability

LLM: vLLM on AMD MI300X (OpenAI-compat) with HF fallback

Update AUC to 0.7288 (K=32 retrain), LLM via InferenceClient

LLM: switch to HF InferenceClient (merged model, always-on)

Ensemble UI: vote summary + p(ASD) histogram + collapsed per-site details

Fix: saliency CPU timeout (cap 5 models), 17→20 sites, architecture 4→20 models, stale text

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Fix: /20 verdict count, graceful LLM fallback on CPU, AMD badge

5x LLM improvements: saliency grounding, anti-hallucination system prompt, temp 0.1, n_subjects, per-network scores in prompt

20-site AAL LOSO: all 20 checkpoints, AUC=0.7133

Wire Qwen2.5-7B LoRA (AMD MI300X) into analysis report

Fix benchmark chart title: 4-Model -> 20-Model LOSO Ensemble

20-site LOSO: all 20 CC200 checkpoints, AUC=0.7260, 20-model ensemble

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