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[Cookbook] GLM-5.2: tune GB300 NVFP4 recipes + fill benchmarks (#29486)

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Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
zijiexia
2026-06-27 01:01:28 -07:00
committed by GitHub
co-authored by Claude Opus 4.8
parent 9214b9338f
commit e0c0c0a45c
2 changed files with 68 additions and 12 deletions
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docs_new/src/snippets/configs/zai-org/glm-5.2-benchmarks.jsx
+36 -3
View File
@@ -171,9 +171,42 @@ export const benchmarks = [
{ match: { hw: "gb300", variant: "default", quant: "bf16", strategy: "low-latency", nodes: "multi-2" } },
{ match: { hw: "gb300", variant: "default", quant: "bf16", strategy: "balanced", nodes: "multi-2" } },
{ match: { hw: "gb300", variant: "default", quant: "bf16", strategy: "high-throughput", nodes: "multi-2" } },
// ---- NVFP4 (Blackwell Ultra) ---- benchmarks pending
// ---- NVFP4 (Blackwell Ultra) ----
{ match: { hw: "b300", variant: "default", quant: "nvfp4", strategy: "low-latency", nodes: "single" } },
{ match: { hw: "b300", variant: "default", quant: "nvfp4", strategy: "balanced", nodes: "single" } },
{ match: { hw: "gb300", variant: "default", quant: "nvfp4", strategy: "low-latency", nodes: "single" } },
{ match: { hw: "gb300", variant: "default", quant: "nvfp4", strategy: "balanced", nodes: "single" } },
// ---- GB300 + NVFP4 ---- (4-GPU single node, TP4; nvidia/GLM-5.2-NVFP4 via --quantization modelopt_fp4,
// measured on the lmsysorg/sglang:dev-glm52-nvfp4 preview image, flush-cache every run.
// tokens_per_sec_per_gpu = total server output tok/s / 4 GPUs (337→84, 1248→312, 1162→291, 1695→424, 1730→433).
// aime25 overrides the variant default (87.7 → 89.58, measured on this NVFP4 build); gsm8k inherits the default.)
{
match: { hw: "gb300", variant: "default", quant: "nvfp4", strategy: "low-latency", nodes: "single" },
sglang_version: "dev-glm52-nvfp4",
accuracy: { aime25_pct: 89.58 },
speed: [
{ workload: { dataset: "random", isl: 8192, osl: 1024, max_concurrency: 1 },
ttft_ms: 238, tpot_ms: 2.23, tokens_per_sec_per_gpu: 84 },
{ workload: { dataset: "random", isl: 8192, osl: 1024, max_concurrency: 16 },
ttft_ms: 315, tpot_ms: 11.9, tokens_per_sec_per_gpu: 312 },
],
},
{
match: { hw: "gb300", variant: "default", quant: "nvfp4", strategy: "balanced", nodes: "single" },
sglang_version: "dev-glm52-nvfp4",
accuracy: { aime25_pct: 89.58 },
speed: [
{ workload: { dataset: "random", isl: 8192, osl: 1024, max_concurrency: 64 },
ttft_ms: 1169, tpot_ms: 58, tokens_per_sec_per_gpu: 291 },
{ workload: { dataset: "random", isl: 8192, osl: 1024, max_concurrency: 256 },
ttft_ms: 6389, tpot_ms: 167, tokens_per_sec_per_gpu: 424 },
],
},
{
match: { hw: "gb300", variant: "default", quant: "nvfp4", strategy: "high-throughput", nodes: "single" },
sglang_version: "dev-glm52-nvfp4",
accuracy: { aime25_pct: 89.58 },
speed: [
{ workload: { dataset: "random", isl: 8192, osl: 1024, max_concurrency: 1024 },
ttft_ms: 156000, tpot_ms: 321, tokens_per_sec_per_gpu: 433 },
],
},
];
docs_new/src/snippets/configs/zai-org/glm-5.2.jsx
+32 -9
View File
@@ -635,16 +635,16 @@ sgl-eval run aime25 \\
},
// ====================================================================
// NVFP4 (Blackwell Ultra) — nvidia/GLM-5.2-NVFP4 (Model Optimizer).
// TP4 on B300 / GB300, low-latency + balanced. GB300 mirrors the B300
// recipe (same TP4 / flags; the 4-GPU GB300 node fits the ~381 GB build).
// NVFP4 (Blackwell Ultra) — nvidia/GLM-5.2-NVFP4 (Model Optimizer). TP4.
// B300: low-latency + balanced (the 4-GPU GB300 node fits the ~381 GB build).
// GB300: low-latency / balanced / high-throughput measured on a single 4xGB300
// node — balanced & high-throughput add DP-Attention (dp4); low-latency uses MTP 5-1-6.
// ====================================================================
{
match: { hw: "b300", variant: "default", quant: "nvfp4", strategy: "low-latency", nodes: "single" },
verified: true,
env: [],
flags: [
"--trust-remote-code",
"--model-path {{MODEL_NAME}}",
"--tp 4",
"--quantization modelopt_fp4",
@@ -663,7 +663,6 @@ sgl-eval run aime25 \\
verified: true,
env: [],
flags: [
"--trust-remote-code",
"--model-path {{MODEL_NAME}}",
"--tp 4",
"--quantization modelopt_fp4",
@@ -678,7 +677,6 @@ sgl-eval run aime25 \\
verified: true,
env: [],
flags: [
"--trust-remote-code",
"--model-path {{MODEL_NAME}}",
"--tp 4",
"--quantization modelopt_fp4",
@@ -687,7 +685,7 @@ sgl-eval run aime25 \\
"--speculative-eagle-topk 1",
"--speculative-num-draft-tokens 6",
"--chunked-prefill-size 8192",
"--mem-fraction-static 0.8",
"--mem-fraction-static 0.85",
"--host {{HOST_IP}}",
"--port {{PORT}}",
],
@@ -697,12 +695,37 @@ sgl-eval run aime25 \\
verified: true,
env: [],
flags: [
"--trust-remote-code",
"--model-path {{MODEL_NAME}}",
"--tp 4",
"--quantization modelopt_fp4",
"--dp 4",
"--enable-dp-attention",
// Shorter draft (MTP 2-1-3) than low-latency's 5-1-6: at this concurrency the
// verify overhead of a long draft outweighs the accept-length gain.
"--speculative-algorithm EAGLE",
"--speculative-num-steps 2",
"--speculative-eagle-topk 1",
"--speculative-num-draft-tokens 3",
"--chunked-prefill-size 8192",
"--mem-fraction-static 0.8",
"--mem-fraction-static 0.92",
"--max-running-requests 256",
"--host {{HOST_IP}}",
"--port {{PORT}}",
],
},
{
match: { hw: "gb300", variant: "default", quant: "nvfp4", strategy: "high-throughput", nodes: "single" },
verified: true,
env: [],
flags: [
"--model-path {{MODEL_NAME}}",
"--tp 4",
"--quantization modelopt_fp4",
"--dp 4",
"--enable-dp-attention",
"--chunked-prefill-size 8192",
"--mem-fraction-static 0.92",
"--max-running-requests 512",
"--host {{HOST_IP}}",
"--port {{PORT}}",
],