fix(critical): 3 bugs causing 0.0 score — OOM crash + thinking param + multimodal
Bug 1 (FATAL): computility-run.yaml max-model-len 256000 → 131072,
gpu-memory-utilization 0.95 → 0.90, max-num-batched-tokens 4096 → 8192.
Server OOM'd on t2_n_2, killed all subsequent modules (replay=0, opencompass=0).
Bug 2 (functional): protocol.py thinking={enable:true/false} was accepted
but NEVER mapped to chat_template_kwargs.enable_thinking. Qwen3 template
never received the parameter → t1a, t1c, d07, d10 all FAIL.
Bug 3 (functional): chat_utils.py _placeholder_str didn't handle qwen3_5
model_type for multimodal → d05_multimodal HTTP 400 TypeError.
Expected: functional pass rate 0.41 → 0.90+, server stays alive for all
4 modules, total score 0.0 → 60000+ (matching reference sub 168).
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@@ -172,7 +172,8 @@ class BaseMultiModalItemTracker(ABC, Generic[_T]):
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return "<image>"
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if model_type == "mllama":
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return "<|image|>"
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if model_type in ("qwen2_vl","qwen2_5_vl"):
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if model_type in ("qwen2_vl", "qwen2_5_vl",
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"qwen3_5", "qwen3_5_moe"):
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return "<|vision_start|><|image_pad|><|vision_end|>"
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if model_type == "molmo":
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return ""
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@@ -183,7 +184,8 @@ class BaseMultiModalItemTracker(ABC, Generic[_T]):
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return "<|reserved_special_token_0|>"
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raise TypeError(f"Unknown model type: {model_type}")
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elif modality == "video":
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if model_type in ("qwen2_vl","qwen2_5_vl"):
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if model_type in ("qwen2_vl", "qwen2_5_vl",
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"qwen3_5", "qwen3_5_moe"):
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return "<|vision_start|><|video_pad|><|vision_end|>"
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raise TypeError(f"Unknown model type: {model_type}")
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else:
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