[Klaud Cold] Enact the September 8, 2026 DeepSeek-V4-Pro Single-turn 8k1k deprecation / 执行 2026 年 9 月 8 日 DeepSeek-V4-Pro 单轮 8k1k 场景下线

MODELS.md

@@ -52,7 +52,7 @@ Speculative-decoding A/B retirements apply to each pair below. The spec-decode a
 
 Rationale: `dsv4` carries the largest single-turn footprint in the repository. 45 active config keys use the 8k1k scenario, 32 in `configs/nvidia-master.yaml` and 13 in `configs/amd-master.yaml`, spanning H200, B200, B300, GB200, GB300, MI300X, MI325X, and MI355X across vLLM, SGLang, TensorRT-LLM, ATOM, Dynamo, and llm-d. That is a large share of every full sweep. AgentX trace replay is the scenario AI labs and the ML community ask about, and DeepSeek-V4-Pro's 19 agentic config keys are the part of `dsv4` that feeds the published North Star Pareto frontier. Retiring the fixed-sequence-length arm frees cluster hours for AgentX and for new frontier models such as Qwen3.8-Flash-Next without reducing what we publish for this model. Single-turn 8k1k stays active for the other models that still list it.
 
-**Status: not yet enacted.** All 45 8k1k config keys still run. On enactment they are removed from the active master configs and archived under [`configs/deprecated/`](configs/deprecated/), with their benchmark scripts moved to the sibling `deprecated/` directories, matching how [#2493](https://github.com/SemiAnalysisAI/InferenceX/pull/2493) and [#2527](https://github.com/SemiAnalysisAI/InferenceX/pull/2527) were carried out. The SPEED-Bench acceptance-length scripts for `dsv4` are intentionally kept. Speedbench is driven by `speedbench-al.yml`, not the master configs.
+**Enacted on 2026-09-09** in [#2921](https://github.com/SemiAnalysisAI/InferenceX/pull/2921): 46 `dsv4` 8k1k config keys were removed from the active master configs and archived under [`configs/deprecated/`](configs/deprecated/) as `nvidia-dsv4-8k1k-master.yaml` (33) and `amd-dsv4-8k1k-master.yaml` (13), and their 28 benchmark scripts were moved to the sibling `deprecated/` directories (25 under `benchmarks/single_node/fixed_seq_len/`, 3 under `benchmarks/multi_node/`), matching how [#2493](https://github.com/SemiAnalysisAI/InferenceX/pull/2493) and [#2527](https://github.com/SemiAnalysisAI/InferenceX/pull/2527) were carried out. The count is 46 rather than the 45 quoted above because `dsv4-fp4-b200-dynamo-sglang` landed after this notice was written. The 19 agentic-coding keys are untouched: `dsv4` continues to run and publish with agentic coding as its only scenario. The SPEED-Bench acceptance-length scripts for `dsv4` are intentionally kept. Speedbench is driven by `speedbench-al.yml`, not the master configs. The srt-slurm and llm-d recipe YAMLs referenced by the archived multi-node keys stay in place as inert reference data, as #2493 and #2527 left theirs.
 
 ## Scenarios
 
@@ -120,7 +120,7 @@ The table also records both the agreed plan-of-record (PoR) draft-model mapping
 
 | Model | Primary native/upstream engines | Agreed draft model(s) (PoR) | Proposed draft model(s) pending partner alignment | Additional engines |
 |---|---|---|---|---|
-| DeepSeek-V4-Pro 1.6T (`dsv4`) | native/upstream vLLM engine and native/upstream SGLang engine | native MTP (Single-turn 8k1k); native DSpark heads `deepseek-ai/DeepSeek-V4-Pro-0813` (Agentic coding only, under the same synthetic-acceptance methodology as Kimi-K3's DSpark PoR) | None | Additional non-vLLM/SGLang engines under the ordering guideline and exceptions above |
+| DeepSeek-V4-Pro 1.6T (`dsv4`) | native/upstream vLLM engine and native/upstream SGLang engine | native MTP (Agentic coding MTP arms; formerly also Single-turn 8k1k, retired 2026-09-09); native DSpark heads `deepseek-ai/DeepSeek-V4-Pro-0813` (Agentic coding only, under the same synthetic-acceptance methodology as Kimi-K3's DSpark PoR) | None | Additional non-vLLM/SGLang engines under the ordering guideline and exceptions above |
 | Kimi-K3 (`kimik3`) | native/upstream vLLM engine | `Inferact/Kimi-K3-DSpark` | None | Additional non-vLLM/SGLang engines under the ordering guideline and exceptions above |
 | MiniMax-M3 (`minimaxm3`) | native/upstream vLLM engine | `Inferact/MiniMax-M3-EAGLE3` and/or `Inferact/MiniMax-M3-EAGLE3-GQA` | None | Additional non-vLLM/SGLang engines under the ordering guideline and exceptions above |
 | GLM-5.2 (`glm5.2`) | native/upstream SGLang engine | native MTP | None | Additional non-vLLM/SGLang engines under the ordering guideline and exceptions above |
@@ -154,7 +154,7 @@ Other offloading tiers, including NVMe KV cache offloading, are outside the init
 | Kimi-K3 | `kimik3` | 2026-07-27 ([#2391](https://github.com/SemiAnalysisAI/InferenceX/pull/2391)) | Agentic coding (DSpark only) | Agentic coding non-DSpark arm (deprecated from day 0) |
 | GLM-5.2 | `glm5.2` | 2026-07-18 ([#2268](https://github.com/SemiAnalysisAI/InferenceX/pull/2268)) | Agentic coding (the non-MTP arm still runs while the MTP-only transition remains pending, as explained in the Deprecation Notice) | |
 | MiniMax-M3 | `minimaxm3` | 2026-06-12 ([#1724](https://github.com/SemiAnalysisAI/InferenceX/pull/1724)) | Agentic coding | Single-turn 1k1k, Single-turn 8k1k (removed 2026-08-04, [#2493](https://github.com/SemiAnalysisAI/InferenceX/pull/2493)) |
-| DeepSeek-V4-Pro | `dsv4` | 2026-04-24 ([#1130](https://github.com/SemiAnalysisAI/InferenceX/pull/1130)) | Single-turn 8k1k (last day 2026-09-08, see [Deprecation Notice](#deprecation-notice)), Agentic coding (the non-MTP arm still runs while the MTP-only transition remains pending, as explained in the Deprecation Notice) | Single-turn 1k1k |
+| DeepSeek-V4-Pro | `dsv4` | 2026-04-24 ([#1130](https://github.com/SemiAnalysisAI/InferenceX/pull/1130)) | Agentic coding (the non-MTP arm still runs while the MTP-only transition remains pending, as explained in the Deprecation Notice) | Single-turn 1k1k, Single-turn 8k1k (removed 2026-09-09, [#2921](https://github.com/SemiAnalysisAI/InferenceX/pull/2921)) |
 | GLM-5 / GLM-5.1 | `glm5`, `glm5.1` | 2026-03-06 ([#762](https://github.com/SemiAnalysisAI/InferenceX/pull/762)), with GLM-5.1 added 2026-04-21 ([#1098](https://github.com/SemiAnalysisAI/InferenceX/pull/1098)) | None (retired 2026-07-18, [#2276](https://github.com/SemiAnalysisAI/InferenceX/pull/2276)) | Single-turn 1k1k, Single-turn 1k8k (GLM-5 only), Single-turn 8k1k |
 | MiniMax-M2.5/2.7 | `minimaxm2.5` | 2026-02-18 ([#755](https://github.com/SemiAnalysisAI/InferenceX/pull/755)) | None (retired 2026-06-20, [#1874](https://github.com/SemiAnalysisAI/InferenceX/pull/1874)) | Single-turn 1k1k, Single-turn 1k8k, Single-turn 8k1k |
 | Kimi-K2.5/2.6/2.7-Code | `kimik2.5` | 2026-02-17 ([#734](https://github.com/SemiAnalysisAI/InferenceX/pull/734)) | None (fully retired 2026-08-07, [#2527](https://github.com/SemiAnalysisAI/InferenceX/pull/2527)) | Single-turn 1k1k, Single-turn 1k8k, Agentic coding (removed 2026-08-04, [#2493](https://github.com/SemiAnalysisAI/InferenceX/pull/2493)), Single-turn 8k1k (removed 2026-08-07, [#2527](https://github.com/SemiAnalysisAI/InferenceX/pull/2527)) |

MODELS_zh.md

@@ -52,7 +52,7 @@ InferenceX-e2e 运行在数量固定且有限的 GPU 资源池上，并由一支
 
 原因：`dsv4` 是本仓库中单轮场景占用最大的模型。当前有 45 个启用的配置项使用 8k1k 场景（`configs/nvidia-master.yaml` 32 个，`configs/amd-master.yaml` 13 个），覆盖 H200、B200、B300、GB200、GB300、MI300X、MI325X 与 MI355X，涉及 vLLM、SGLang、TensorRT-LLM、ATOM、Dynamo 与 llm-d，在每一轮完整 sweep 中占比可观。AgentX 轨迹回放才是 AI 实验室与 ML 社区真正关注的场景，而 DeepSeek-V4-Pro 的 19 个智能体编码配置项正是 `dsv4` 中支撑已发布北极星（North Star）帕累托前沿的部分。下线固定序列长度分支可为 AgentX 以及 Qwen3.8-Flash-Next 等新前沿模型腾出集群机时，同时不减少该模型对外发布的内容。对于仍列有该场景的其他模型，单轮 8k1k 保持启用。
 
-**状态：尚未执行。** 全部 45 个 8k1k 配置项仍在运行。执行时将从启用的主配置中移除并归档至 [`configs/deprecated/`](configs/deprecated/)，对应基准测试脚本移入同级 `deprecated/` 目录，与 [#2493](https://github.com/SemiAnalysisAI/InferenceX/pull/2493) 和 [#2527](https://github.com/SemiAnalysisAI/InferenceX/pull/2527) 的做法一致。`dsv4` 的 SPEED-Bench 接受长度脚本予以保留。Speedbench 由 `speedbench-al.yml` 驱动，不经过主配置。
+**已于 2026-09-09 执行**（[#2921](https://github.com/SemiAnalysisAI/InferenceX/pull/2921)）：46 个 `dsv4` 8k1k 配置项已从启用的主配置中移除并归档至 [`configs/deprecated/`](configs/deprecated/)，即 `nvidia-dsv4-8k1k-master.yaml`（33 个）与 `amd-dsv4-8k1k-master.yaml`（13 个）；对应的 28 个基准测试脚本移入同级 `deprecated/` 目录（`benchmarks/single_node/fixed_seq_len/` 下 25 个，`benchmarks/multi_node/` 下 3 个），与 [#2493](https://github.com/SemiAnalysisAI/InferenceX/pull/2493) 和 [#2527](https://github.com/SemiAnalysisAI/InferenceX/pull/2527) 的做法一致。数量为 46 而非上文所述的 45，是因为 `dsv4-fp4-b200-dynamo-sglang` 在本公告发布后才合入。19 个智能体编码配置项未做改动：`dsv4` 以智能体编码为唯一场景继续运行与发布。`dsv4` 的 SPEED-Bench 接受长度脚本予以保留。Speedbench 由 `speedbench-al.yml` 驱动，不经过主配置。已归档多节点配置项所引用的 srt-slurm 与 llm-d 配方 YAML 作为惰性参考数据原地保留，与 #2493 和 #2527 的处理一致。
 
 ## 场景
 
@@ -120,7 +120,7 @@ InferenceX 支持 SGLang 和 vLLM 双方的维护者，并响应 AI 实验室和
 
 | 模型 | 首选原生/上游引擎 | 已达成一致的草稿模型（PoR） | 待合作伙伴对齐的草稿模型提案 | 其他引擎 |
 |---|---|---|---|---|
-| DeepSeek-V4-Pro 1.6T（`dsv4`） | 原生/上游 vLLM 引擎和原生/上游 SGLang 引擎 | 原生 MTP（单轮 8k1k）；`deepseek-ai/DeepSeek-V4-Pro-0813`（仅用于智能体编码，遵循与 Kimi-K3 DSpark PoR 相同的合成接受方法） | 无 | 按照上述提交顺序指南及例外处理的其他非 vLLM/SGLang 引擎 |
+| DeepSeek-V4-Pro 1.6T（`dsv4`） | 原生/上游 vLLM 引擎和原生/上游 SGLang 引擎 | 原生 MTP（智能体编码 MTP 分支；此前亦用于单轮 8k1k，已于 2026-09-09 退役）；`deepseek-ai/DeepSeek-V4-Pro-0813`（仅用于智能体编码，遵循与 Kimi-K3 DSpark PoR 相同的合成接受方法） | 无 | 按照上述提交顺序指南及例外处理的其他非 vLLM/SGLang 引擎 |
 | Kimi-K3（`kimik3`） | 原生/上游 vLLM 引擎 | `Inferact/Kimi-K3-DSpark` | 无 | 按照上述提交顺序指南及例外处理的其他非 vLLM/SGLang 引擎 |
 | MiniMax-M3（`minimaxm3`） | 原生/上游 vLLM 引擎 | `Inferact/MiniMax-M3-EAGLE3` 和/或 `Inferact/MiniMax-M3-EAGLE3-GQA` | 无 | 按照上述提交顺序指南及例外处理的其他非 vLLM/SGLang 引擎 |
 | GLM-5.2（`glm5.2`） | 原生/上游 SGLang 引擎 | 原生 MTP | 无 | 按照上述提交顺序指南及例外处理的其他非 vLLM/SGLang 引擎 |
@@ -154,7 +154,7 @@ InferenceX 支持 SGLang 和 vLLM 双方的维护者，并响应 AI 实验室和
 | Kimi-K3 | `kimik3` | 2026-07-27 ([#2391](https://github.com/SemiAnalysisAI/InferenceX/pull/2391)) | 智能体编码（仅 DSpark） | 智能体编码非 DSpark 分支（自第 0 天起弃用） |
 | GLM-5.2 | `glm5.2` | 2026-07-18（[#2268](https://github.com/SemiAnalysisAI/InferenceX/pull/2268)） | 智能体编码（非 MTP 分支仍在运行，「仅 MTP」转换仍待执行，见弃用公告） | |
 | MiniMax-M3 | `minimaxm3` | 2026-06-12（[#1724](https://github.com/SemiAnalysisAI/InferenceX/pull/1724)） | 智能体编码 | 单轮 1k1k、单轮 8k1k（2026-08-04 移除，[#2493](https://github.com/SemiAnalysisAI/InferenceX/pull/2493)） |
-| DeepSeek-V4-Pro | `dsv4` | 2026-04-24（[#1130](https://github.com/SemiAnalysisAI/InferenceX/pull/1130)） | 单轮 8k1k、智能体编码（非 MTP 分支仍在运行，「仅 MTP」转换仍待执行，见弃用公告） | 单轮 1k1k |
+| DeepSeek-V4-Pro | `dsv4` | 2026-04-24（[#1130](https://github.com/SemiAnalysisAI/InferenceX/pull/1130)） | 智能体编码（非 MTP 分支仍在运行，「仅 MTP」转换仍待执行，见弃用公告） | 单轮 1k1k、单轮 8k1k（已于 2026-09-09 移除，[#2921](https://github.com/SemiAnalysisAI/InferenceX/pull/2921)） |
 | GLM-5 / GLM-5.1 | `glm5`、`glm5.1` | 2026-03-06（[#762](https://github.com/SemiAnalysisAI/InferenceX/pull/762)），GLM-5.1 于 2026-04-21 加入（[#1098](https://github.com/SemiAnalysisAI/InferenceX/pull/1098)） | 无（2026-07-18 退役，[#2276](https://github.com/SemiAnalysisAI/InferenceX/pull/2276)） | 单轮 1k1k、单轮 1k8k（仅 GLM-5）、单轮 8k1k |
 | MiniMax-M2.5/2.7 | `minimaxm2.5` | 2026-02-18（[#755](https://github.com/SemiAnalysisAI/InferenceX/pull/755)） | 无（2026-06-20 退役，[#1874](https://github.com/SemiAnalysisAI/InferenceX/pull/1874)） | 单轮 1k1k、单轮 1k8k、单轮 8k1k |
 | Kimi-K2.5/2.6/2.7-Code | `kimik2.5` | 2026-02-17（[#734](https://github.com/SemiAnalysisAI/InferenceX/pull/734)） | 无（2026-08-07 完全退役，[#2527](https://github.com/SemiAnalysisAI/InferenceX/pull/2527)） | 单轮 1k1k、单轮 1k8k、智能体编码（2026-08-04 移除，[#2493](https://github.com/SemiAnalysisAI/InferenceX/pull/2493)）、单轮 8k1k（2026-08-07 移除，[#2527](https://github.com/SemiAnalysisAI/InferenceX/pull/2527)） |

benchmarks/single_node/agentic/dsv4_fp4_mi355x_vllm_mtp.sh

@@ -16,7 +16,7 @@ set -x
 #
 # Serving flags follow the validated MI355X recipe from
 # https://recipes.vllm.ai/deepseek-ai/DeepSeek-V4-Pro?hardware=mi355x
-# https://github.com/SemiAnalysisAI/InferenceX/blob/main/benchmarks/single_node/fixed_seq_len/dsv4_fp4_mi355x_vllm.sh
+# https://github.com/SemiAnalysisAI/InferenceX/blob/main/benchmarks/single_node/fixed_seq_len/deprecated/dsv4_fp4_mi355x_vllm.sh
 # Image is configured in amd-master.yaml.
 #
 # Required env vars: