ff971686d4
Docker log proves two fatal issues:
1. max_model_len=100000 > KV cache capacity 88112 → ValueError crash
'max seq len (100000) is larger than maximum number of tokens
that can be stored in KV cache (88112)'
Fix: set max_model_len=80000 (safe margin below 88112)
2. NaN in GatedDeltaNet layers 34,36,37,38 (frac=1.0000)
Root cause: g.cumsum() → g.exp() overflow to inf → inf*0 = NaN
Fix: clamp all g values to [-80,80] before exp() calls
(max safe float32 exp input ~88, use 80 for margin)
Applied to: cumsum result, k_cumdecay, attn_inter, last_state update
3. CoreX modules confirmed NOT in base image:
'CoreX GDN module not found'
'CoreX MoE module not found'
→ pure PyTorch is the only path, must be numerically stable