Phase 01 (LLM Tuning): - Gemma4 26B: 74.65 t/s (fast) - Qwen 35B: 61.62 t/s (balanced) - Gemma4 31B: 16.0 t/s (deep-coder) - Qwen 27B: 16.7 t/s (deep-logic) - Qwen 122B: 8.95 t/s (ultra, GPU 1 only) Phase 02 (API Engine): - FastAPI reverse proxy on port 8000 - /engine/switch hot-swap with 503 protection - config/engine_models.json as single source of truth - Replaced 4 individual .bat files with unified engine File cleanup: - scripts/ 85 files -> 9 + _archive/ - Root .bat files -> _archive/
11 lines
607 B
Batchfile
11 lines
607 B
Batchfile
@echo off
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echo =========================================================
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echo Qwen3.5 122B-A10B API Server (MoE Optimized)
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echo [INFO] --cpu-moe: Expert weights forced to CPU RAM
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echo [INFO] -ngl 999: All attention layers on GPU
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echo [INFO] -np 1: Single slot, -c 2048 minimal context
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echo =========================================================
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echo.
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llama_bin_run\llama-server.exe --model models\Q4_K_M\Qwen3.5-122B-A10B-Q4_K_M-00001-of-00003.gguf -ngl 999 --cpu-moe -c 2048 -np 1 -fa on --cache-type-k q4_0 --cache-type-v q4_0 -ub 256 -b 1024 -t 8 --mlock --prio 2 --port 8000 --host 0.0.0.0
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pause
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