c5a0d6185164e2698a50840cc09ddd7da8219b33
Synced files from EngineX baseline zip (2026-06-30): - ADD paged_attn.py (root): production paged attention with PyTorch fallback - ADD launch_service: BI-V100 server startup script with env configuration - SYNC computility-run.yaml: gpu_memory=0.9, batched_tokens=8192, seq_capture=32768 - SYNC qwen3_6_scripts/paged_attn.py: +311 lines, Triton bypass docs, _forward_decode_pytorch shape docs - SYNC qwen3_6_scripts/qwen3_5.py: -72 lines, revert optimized MoE prefill to baseline (untested on BI-V100) - KEEP Dockerfile: repo version has V2/Triton/head256 optimization patches not in baseline Baseline commit: 1902c81fdd373943f17f5983eb8750758c7f4a69 Source: enginex-vllm-bi100-qwen36-main.zip (dev.modelhub.org.cn)
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