mirror of
https://github.com/mudler/LocalAI.git
synced 2026-06-30 03:17:01 -04:00
4cd90bfae9
The opt-in hybrid per-head bf16 SSM-state lever (ssm_bf16_tau, patch 0026) is removed from the llama-cpp-localai-paged patch series. Clean re-measurement after the decode fusions (0028 recurrent-state gather-fusion + 0029 block-table cache) landed shows it buys nothing: forcing ALL gated-DeltaNet heads to bf16 (tau=100000, the most aggressive setting) gives flat decode throughput, 780.6 vs 780.0 t/s. The mode engages but adds zero speed because it is subsumed by the fusions. The earlier "+12%" was measured before the fusions completed. bf16-tau was a precision trade (not bit-exact, ~91% same-top-p) plus extra bug surface and extra CUDA template-instantiation compile cost with no offsetting benefit. Dependency check: no later patch (0028/0029/0030) depends on 0026. 0030's only mention is a description comment; its code keys off fused_gdn_ar/ch/auto_fgdn, which originate in 0018/0019/0021 (before 0026). The remaining series (0001-0025, 0028-0030) applies clean with git apply --check against the pin 0ed235ea2c17a19fc8238668653946721ed136fd. The Makefile applies the series by glob (patches/paged/0*.patch); the resulting gap at 0026 is tolerated (0005/0027 are already absent). Removed: - patches/paged/0026-qwen35-hybrid-perhead-ssm-state.patch - the dead ssm_bf16_tau / ssm_hybrid_tau option handler in the shared grpc-server.cpp (it only set LLAMA_SSM_BF16_TAU, now a no-op the library no longer reads) - the patched+bf16-tau benchmark columns and llama-patched-bf16tau rows (README + final_benchmark.csv), the ssm_bf16_tau option text in backend index.yaml, the gallery NOTE block, and the docs/features/backends.md mention. The rejected-lever lesson is kept (why it was dropped: subsumed, tau=100000 flat) in the backend README section 5, the paged-backend agent guide, and the vLLM-parity methodology, so it is not re-tried. Assisted-by: Claude:opus-4.8 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
26 lines
1.0 KiB
CSV
26 lines
1.0 KiB
CSV
model,engine,npl,decode_agg_tps,prefill_tps
|
|
q36-27b-nvfp4,llama-stock,8,68.3,937.7
|
|
q36-27b-nvfp4,llama-stock,32,119.9,885.2
|
|
q36-27b-nvfp4,llama-stock,64,142.8,885.1
|
|
q36-27b-nvfp4,llama-stock,128,155.1,887.2
|
|
q36-27b-nvfp4,llama-patched,8,85.3,915.1
|
|
q36-27b-nvfp4,llama-patched,32,211.9,919.0
|
|
q36-27b-nvfp4,llama-patched,64,305.2,923.5
|
|
q36-27b-nvfp4,llama-patched,128,382.1,922.9
|
|
q36-27b-nvfp4,vllm,8,70.4,2096.2
|
|
q36-27b-nvfp4,vllm,32,211.8,2182.6
|
|
q36-27b-nvfp4,vllm,64,309.1,2088.9
|
|
q36-27b-nvfp4,vllm,128,418.8,1929.1
|
|
q36-35b-a3b-nvfp4,llama-stock,8,186.7,1501.5
|
|
q36-35b-a3b-nvfp4,llama-stock,32,267.4,1856.8
|
|
q36-35b-a3b-nvfp4,llama-stock,64,320.5,1949.5
|
|
q36-35b-a3b-nvfp4,llama-stock,128,347.2,1995.4
|
|
q36-35b-a3b-nvfp4,llama-patched,8,230.3,1510.3
|
|
q36-35b-a3b-nvfp4,llama-patched,32,466.4,1969.2
|
|
q36-35b-a3b-nvfp4,llama-patched,64,622.4,2122.8
|
|
q36-35b-a3b-nvfp4,llama-patched,128,784.3,2177.0
|
|
q36-35b-a3b-nvfp4,vllm,8,256.5,5186.5
|
|
q36-35b-a3b-nvfp4,vllm,32,500.8,6223.4
|
|
q36-35b-a3b-nvfp4,vllm,64,686.1,5926.5
|
|
q36-35b-a3b-nvfp4,vllm,128,882.2,5300.5
|