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Commit
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Add Qwen3.8-Flash-Next-NVFP4 vLLM MTP k=3 diverse_100 capture (2026-10-13)

Browse files
.gitattributes CHANGED
@@ -71,3 +71,4 @@ glm53_nvfp4/vllm_dflash2_k7/diverse_100/capture/20260920/routes.u16 filter=lfs d
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  inkling_nvfp4/vllm/diverse_100/capture/20261009/routes.u16 filter=lfs diff=lfs merge=lfs -text
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  inkling_small_nvfp4/vllm/diverse_100/capture/20261008/routes.u16 filter=lfs diff=lfs merge=lfs -text
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  mimo_v26_flash_rl/vllm/diverse_100/capture/20261007/routes.u16 filter=lfs diff=lfs merge=lfs -text
 
 
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  inkling_nvfp4/vllm/diverse_100/capture/20261009/routes.u16 filter=lfs diff=lfs merge=lfs -text
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  inkling_small_nvfp4/vllm/diverse_100/capture/20261008/routes.u16 filter=lfs diff=lfs merge=lfs -text
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  mimo_v26_flash_rl/vllm/diverse_100/capture/20261007/routes.u16 filter=lfs diff=lfs merge=lfs -text
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+ qwen38_flash_next_nvfp4/vllm_mtp_k3/diverse_100/capture/20261013/routes.u16 filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
@@ -193,6 +193,7 @@ Unknown values are `null`; nothing is guessed.
193
  | `inkling_nvfp4/vllm/diverse_100/capture/20261009/` | `thinkingmachines/Inkling-NVFP4` | vLLM | — | diverse_100 (100 req, enwik9) | B200 TP8 EP8 DP1 | manifest.json, routes.u16, trace.csv | 135,144 tokens x 64 layers (routed layers 2-65) x top-6 of 256 |
194
  | `inkling_small_nvfp4/vllm/diverse_100/capture/20261008/` | `thinkingmachines/Inkling-Small-NVFP4` | vLLM | — | diverse_100 (100 req, enwik9) | B200 TP4 EP4 DP1 | manifest.json, routes.u16, trace.csv | 135,144 tokens x 40 layers (routed layers 2-41) x top-6 of 256 |
195
  | `mimo_v26_flash_rl/vllm/diverse_100/capture/20261007/` | `XiaomiMiMo/MiMo-V2.6-Flash-RL` | vLLM | — | diverse_100 (100 req, enwik9) | B200 TP4 EP4 DP1 | manifest.json, routes.u16, trace.csv | 135,144 tokens x 47 layers (routed layers 1-47) x top-8 of 256 |
 
196
  | `qwen36_35b_a3b_fp8/vllm/ctx8k_out1k/capture/20260818/` | `Qwen/Qwen3.6-35B-A3B-FP8` | vLLM | — | ctx8k_out1k (256 req, enwik8) | H200 TP2 EP2 DP1 | popularity.json, trace.csv | v2, 40 layers x 256 experts, 4,170 records |
197
  | `qwen3_235b_thinking_fp8/vllm/ctx8k_out1k/capture/20260803/` | `Qwen/Qwen3-235B-A22B-Thinking-2507-FP8` | vLLM | — | ctx8k_out1k (256 req, enwik8) | H200 TP4 EP4 DP1 | popularity.json, trace.csv | v1, 94 layers x 128 experts, 4,172 records |
198
 
@@ -202,8 +203,9 @@ The workloads:
202
  with input 256–131,070 and output 1–8,192 tokens, both log-uniform, and
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  Poisson arrivals at a mean of 1 req/s. The four 2026-08 vLLM and SGLang
204
  popularity captures, and the GLM-5.3-Flash no-spec corpus, replay it at its
205
- trace times with no client concurrency cap. The two Inkling corpora replay it
206
- at trace times with at most 100 requests in flight. The other corpora, and
 
207
  the popularity files beside them, replay it at trace times with at most 64
208
  requests in flight.
209
  - **c32_long**: ServingStudioSim `trace/c32_long.csv`. 64 requests, eight of
 
193
  | `inkling_nvfp4/vllm/diverse_100/capture/20261009/` | `thinkingmachines/Inkling-NVFP4` | vLLM | — | diverse_100 (100 req, enwik9) | B200 TP8 EP8 DP1 | manifest.json, routes.u16, trace.csv | 135,144 tokens x 64 layers (routed layers 2-65) x top-6 of 256 |
194
  | `inkling_small_nvfp4/vllm/diverse_100/capture/20261008/` | `thinkingmachines/Inkling-Small-NVFP4` | vLLM | — | diverse_100 (100 req, enwik9) | B200 TP4 EP4 DP1 | manifest.json, routes.u16, trace.csv | 135,144 tokens x 40 layers (routed layers 2-41) x top-6 of 256 |
195
  | `mimo_v26_flash_rl/vllm/diverse_100/capture/20261007/` | `XiaomiMiMo/MiMo-V2.6-Flash-RL` | vLLM | — | diverse_100 (100 req, enwik9) | B200 TP4 EP4 DP1 | manifest.json, routes.u16, trace.csv | 135,144 tokens x 47 layers (routed layers 1-47) x top-8 of 256 |
196
+ | `qwen38_flash_next_nvfp4/vllm_mtp_k3/diverse_100/capture/20261013/` | `nvidia/Qwen3.8-Flash-Next-NVFP4` | vLLM | MTP k=3 | diverse_100 (100 req, enwik9) | B200 TP1 EP1 DP1 | manifest.json, routes.u16, trace.csv | 135,144 tokens x 49 layers (48 body + MTP) x top-10 of 512; per-request acceptance from a separate token-id replay of the same deployment |
197
  | `qwen36_35b_a3b_fp8/vllm/ctx8k_out1k/capture/20260818/` | `Qwen/Qwen3.6-35B-A3B-FP8` | vLLM | — | ctx8k_out1k (256 req, enwik8) | H200 TP2 EP2 DP1 | popularity.json, trace.csv | v2, 40 layers x 256 experts, 4,170 records |
198
  | `qwen3_235b_thinking_fp8/vllm/ctx8k_out1k/capture/20260803/` | `Qwen/Qwen3-235B-A22B-Thinking-2507-FP8` | vLLM | — | ctx8k_out1k (256 req, enwik8) | H200 TP4 EP4 DP1 | popularity.json, trace.csv | v1, 94 layers x 128 experts, 4,172 records |
199
 
 
203
  with input 256–131,070 and output 1–8,192 tokens, both log-uniform, and
204
  Poisson arrivals at a mean of 1 req/s. The four 2026-08 vLLM and SGLang
205
  popularity captures, and the GLM-5.3-Flash no-spec corpus, replay it at its
206
+ trace times with no client concurrency cap. The two Inkling corpora and the
207
+ Qwen3.8-Flash-Next corpus replay it at trace times with at most 100 requests
208
+ in flight. The other corpora, and
209
  the popularity files beside them, replay it at trace times with at most 64
210
  requests in flight.
211
  - **c32_long**: ServingStudioSim `trace/c32_long.csv`. 64 requests, eight of
qwen38_flash_next_nvfp4/vllm_mtp_k3/diverse_100/capture/20261013/manifest.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "schema_version": 1,
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+ "data_file": "routes.u16",
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+ "num_tokens": 135144,
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+ "num_layers": 49,
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+ "num_experts": 512,
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+ "top_k": 10,
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+ "checksum_fnv1a64": 3353362726846521945
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+ }
qwen38_flash_next_nvfp4/vllm_mtp_k3/diverse_100/capture/20261013/provenance.json ADDED
@@ -0,0 +1,765 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "model": {
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+ "checkpoint": "nvidia/Qwen3.8-Flash-Next-NVFP4",
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+ "revision": "fc694b54fb0174e0913e6adf86691ef85a4ead47",
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+ "revision_inferred": false
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+ },
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+ "engine": {
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+ "name": "vllm",
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+ "version": "0.1.dev21920+g892da0822"
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+ },
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+ "proposer": {
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+ "kind": "mtp",
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+ "k": 3,
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+ "checkpoint": "nvidia/Qwen3.8-Flash-Next-NVFP4",
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+ "revision": "fc694b54fb0174e0913e6adf86691ef85a4ead47"
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+ },
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+ "workload": {
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+ "name": "diverse_100",
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+ "spec": "trace/diverse_100.csv",
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+ "prompts": "enwik9",
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+ "requests": 100,
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+ "concurrency": 100,
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+ "arrival": "trace-timed (load generator arrival_mode trace-timed), client max_concurrency 100"
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+ },
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+ "server": {
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+ "gpu": "NVIDIA B200",
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+ "tp": 1,
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+ "ep": 1,
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+ "dp": 1,
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+ "other": {
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+ "argv": [
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+ "alignment/profiler/vllm/.venv/bin/python",
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+ "-m",
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+ "vllm.entrypoints.cli.main",
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+ "serve",
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+ "nvidia/Qwen3.8-Flash-Next-NVFP4",
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+ "--api-server-count",
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+ "4",
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+ "--host",
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+ "127.0.0.1",
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+ "--port",
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+ "26682",
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+ "--tensor-parallel-size",
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+ "1",
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+ "--data-parallel-size",
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+ "1",
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+ "--max-num-batched-tokens",
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+ "2048",
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+ "--enable-chunked-prefill",
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+ "--enable-prompt-tokens-details",
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+ "--gpu-memory-utilization",
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+ "0.9",
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+ "--enable-server-load-tracking",
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+ "--enable-logging-iteration-details",
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+ "--max-cudagraph-capture-size",
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+ "2048",
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+ "--served-model-name",
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+ "qwen38-flash-next-nvfp4",
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+ "--revision",
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+ "fc694b54fb0174e0913e6adf86691ef85a4ead47",
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+ "--tokenizer-revision",
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+ "fc694b54fb0174e0913e6adf86691ef85a4ead47",
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+ "--language-model-only",
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+ "--quantization",
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+ "modelopt_mixed",
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+ "--kv-cache-dtype",
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+ "fp8",
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+ "--attention-config",
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+ "{\"indexer_kv_dtype\": \"fp8\"}",
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+ "--mamba-ssm-cache-dtype",
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+ "float32",
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+ "--enable-prefix-caching",
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+ "--engram-config",
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+ "{\"cpu_offload\": true}",
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+ "--speculative-config",
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+ "{\"method\": \"mtp\", \"num_speculative_tokens\": 3}",
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+ "--compilation-config",
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+ "{\"cudagraph_mode\":\"FULL_AND_PIECEWISE\",\"cudagraph_capture_sizes\":[1,2,4,8,16,24,32,40,48,56,64,72,80,88,96,104,112,120,128,136,144,152,160,168,176,184,192,200,208,216,224,232,240,248,256,272,288,304,320,336,352,368,384,400,416,432,448,464,480,496,512,528,544,560,576,592,608,624,640,656,672,688,704,720,736,752,768,784,800,816,832,848,864,880,896,912,928,944,960,976,992,1008,1024,1040,1056,1072,1088,1104,1120,1136,1152,1168,1184,1200,1216,1232,1248,1264,1280,1296,1312,1328,1344,1360,1376,1392,1408,1424,1440,1456,1472,1488,1504,1520,1536,1552,1568,1584,1600,1616,1632,1648,1664,1680,1696,1712,1728,1744,1760,1776,1792,1808,1824,1840,1856,1872,1888,1904,1920,1936,1952,1968,1984,2000,2016,2032,2048]}",
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+ "--max-model-len",
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+ "131072",
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+ "--max-num-seqs",
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+ "256",
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+ "--enable-return-routed-experts"
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+ ],
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+ "fork_git": {
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+ "path": "alignment/profiler/vllm",
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+ "head": "e1423a4d7496dc6535862ae11bab8cb4d87b155f",
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+ "branch": "servingstudio-alignment",
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+ "status_short": ""
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+ },
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+ "cuda_visible_devices": "0",
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+ "max_num_batched_tokens": 2048,
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+ "max_model_len": 131072,
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+ "max_num_seqs": 256,
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+ "gpu_memory_utilization": 0.9,
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+ "api_server_count": 4,
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+ "kv_cache_dtype": "fp8",
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+ "indexer_kv_dtype": "fp8",
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+ "mamba_ssm_cache_dtype": "float32",
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+ "enable_prefix_caching": true,
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+ "ple_table": "host (--engram-config cpu_offload true)",
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+ "speculative_config": {
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+ "method": "mtp",
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+ "num_speculative_tokens": 3
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+ },
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+ "cudagraph_mode": "FULL_AND_PIECEWISE",
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+ "routes_interface": "--enable-return-routed-experts (body layers and the MTP layer)",
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+ "kv_cache_memory": "Available KV cache memory: 79.8 GiB (server log)"
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+ }
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+ },
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+ "captured": {
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+ "date": "2026-10-13",
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+ "run": "logs/20261013_1_qf_diverse100/profile_corpus",
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+ "job": 6682
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+ },
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+ "files": {
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+ "manifest.json": {
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+ "sha256": "5b6ad75494e7ea656f75d24fd6d9470703a5ad8b7031b21f5c92d5238a355563",
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+ "copied_from": [
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+ "logs/20261013_1_qf_diverse100/profile_corpus/token_corpus/manifest.json"
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+ ],
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+ "kind": "token_corpus_manifest",
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+ "schema_version": 1,
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+ "scope": "accepted generated tokens; no prompt or rejected draft routes"
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+ },
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+ "routes.u16": {
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+ "sha256": "d5936b46986e0de93c54d6ab1e8e1693485429e23d71b0d2455f4a5b613f4daa",
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+ "copied_from": [
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+ ],
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+ "kind": "token_corpus_routes",
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+ "schema_version": 1,
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+ "scope": "accepted generated tokens; no prompt or rejected draft routes",
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+ "extra": {
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+ "run_provenance": {
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+ "source": "logs/20261013_1_qf_diverse100/profile_corpus/routed_experts",
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+ "encoding": "little-endian u16, C order [token, layer, top_k]",
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+ "scope": "accepted generated tokens; no prompt or rejected draft routes",
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+ "num_model_layers": 49,
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+ "model_layer_indices": [
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+ "Checkpoint revision fc694b54fb0174e0913e6adf86691ef85a4ead47 passed explicitly as --revision. config.json (Qwen4ExpForConditionalGeneration): 48 layers, every one MoE with 512 routed experts top-10 and a shared expert, plus 1 MTP layer.",
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+ "Engine version from the server log banner (10-13 10:05:44): 'version 0.1.dev21920+g892da0822'. The launch json records fork_git head e1423a4d7496dc6535862ae11bab8cb4d87b155f (branch servingstudio-alignment, clean): 892da082 plus the fix that gives the MTP draft its routed-experts slot, needed for any token_corpus pass of this model; the banner is the commit the editable install was built at.",
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+ "Proposer: vLLM --speculative-config {\"method\": \"mtp\", \"num_speculative_tokens\": 3}; the MTP layer ships in the target checkpoint, so the proposer checkpoint and revision are the target's.",
755
+ "Slurm job 6682 (qf-d100-corpus) ran 2026-10-13T10:05:38 to 10:14:44 and exited 0 (sacct COMPLETED 0:0).",
756
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757
+ "Checks run 2026-10-13: routes.u16 FNV-1a 64 equals manifest checksum_fnv1a64; routes.u16 size equals num_tokens x num_layers x top_k x 2; largest expert id 511 < num_experts 512; num_experts 512 and top_k 10 equal config.json; 49 layers = the 48 body MoE layers (0-47) then the MTP layer (48); no token repeats an expert within a layer (MTP layer included); the 100 request_segments are contiguous from 0, sum to 135,144, and each equals output_len - 1 of its trace row; tokens_dropped_without_draft_routes 0; 100/100 replay.jsonl rows match the trace on id, input_len, output_len and arrival_time and reached their output length; the run's source trace is byte-identical to git trace/diverse_100.csv; workload pass: 100/100 replay.jsonl rows match the trace and reached their output length; accept_rate aggregate_rates equal the workload pass's spec-decode counters (per-position made conditional) to 3 decimals; trace.csv without accept_rate is byte-identical to trace/diverse_100.csv; the acceptance manifest's sources are the workload pass's profile_result.json and metrics.jsonl.",
758
+ "Two passes are combined. Routes (manifest.json, routes.u16) come from the token_corpus pass, Slurm 6682, which sent text prompts (OpenAI /v1/completions backend) on fork e1423a4d. The accept_rate column comes from the workload_metrics pass, Slurm 6614 (2026-10-13T09:33:25 to 09:42:40, COMPLETED 0:0), which replayed the same trace with token-id prompts (vllm_tokens backend, after a warmup replay) on fork 892da082 under the same server arguments except the port and --tokens-only in place of --enable-return-routed-experts; it is the pass the E2E alignment compares against.",
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760
+ "Corpus pass spec counters, for comparison: 40,185 drafts, 95,071 accepted, mean acceptance length 3.366; conditional per-position rates 0.898, 0.872, 0.873. The text-prompt pass accepted more drafts; its acceptance is not published.",
761
+ "Trace: the run's source trace is byte-identical to git trace/diverse_100.csv (sha256 6db50ec8...).",
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+ "Prompt text enwik9: enwik9 (the profile.yaml text_file), sha256 159b85351e5f76e60cbe32e04c677847a9ecba3adc79addab6f4c6c7aa3744bc (the value the precedent captures record).",
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+ "Host names and absolute paths were removed before upload: run directories and the fork are given relative to the ServingStudioSim checkout, the served snapshot path as the checkpoint id (its revision is the --revision argument), and the prompt file as enwik9. run_provenance_sha256 is the sha256 of the run's original provenance file, which still holds absolute paths."
764
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