submit next batch of ppu_zw_810e (200 models)

main.py

@@ -1,8 +1,10 @@
 """
 xc_validation_strategy — 主入口
 
-启动后针对 4 张 GPU 卡（Biren_166m / Cambricon_mlu-370-x8 / MetaX_c-500 /
-Kunlunxin_p-800）分别批量提交各自筛选出的模型验证任务（/adminApi/async/task/create-contest-task，
+启动后针对 GPU_JOBS 中配置的 GPU 卡分别批量提交各自筛选出的模型验证任务
+（当前仅提交 ppu_zw_810e，其余 4 张卡 Biren_166m/Cambricon_mlu-370-x8/MetaX_c-500/
+Kunlunxin_p-800 的 config_content 模板和模型列表仍保留在代码中，未列入本次 GPU_JOBS）
+（/adminApi/async/task/create-contest-task，
 Bearer Token 认证），之后保持 HTTP 服务存活。
 同时暴露 /health（K8s 探活）和 /status（运行状态）。
 """
@@ -24,7 +26,7 @@ BASE_URL           = os.environ.get("BASE_URL", "https://modelhub.org.cn")
 SUBMIT_ENDPOINT    = "/adminApi/async/task/create-contest-task"
 
 # 通过 curl -X POST https://modelhub.org.cn/adminApi/user/login 获取后填入
-AUTH_TOKEN        = "eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJ1c2VyQWNjb3VudCI6Inpob3VzaGFzaGEiLCJpZCI6MTQsInVzZXJSb2xlIjoibGVhZGVyYm9hcmQiLCJleHAiOjE3ODU3NDY3NTMsImlhdCI6MTc4NTE0MTk1M30.KwUuefNAFSNwq3_Pnaw2nef8ZC6WgsECQ_LMeQnKk2c"
+AUTH_TOKEN        = "eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJ1c2VyQWNjb3VudCI6Inpob3VzaGFzaGEiLCJpZCI6MTQsInVzZXJSb2xlIjoibGVhZGVyYm9hcmQiLCJleHAiOjE3ODY5NTc1NTIsImlhdCI6MTc4NjM1Mjc1Mn0.UW-ghVng8_wBYwytHmvZ1HqWRzyyFjIKgNCkmMOqoU0"
 CONTEST_API_TOKEN = "ef1ef82f3c9efee413d602345fbe224d"
 CONTRIBUTORS      = "zhoushasha"
 TASK_TYPE         = "text-generation"
@@ -646,11 +648,212 @@ KUNLUNXIN_MODELS = [
     "openbmb/MiniCPM4-8B",
 ]
 
+PPU_MODELS = [
+   "LiquidAI/LFM2-1.2B-Tool",
+   "launch/MET-D-Qwen3-4B-ko-only",
+   "anggiputri21/movie-review-sentiment-tiny-llm",
+   "hamishivi/tmax-qwen3-4b-sft-20260316-100k-asst-loss",
+   "922-CA/llama-2-7b-monika-v0.3b",
+   "launch/MET-D-Qwen3-4B-ms-only",
+   "nareshmeena12/fluxion-370m-instruct",
+   "launch/MET-D-Qwen3-4B-zh-only",
+   "EphAsad/Atem-1.7B",
+   "mistralai/Mistral-Nemo-Instruct-2407",
+   "Gryphe/Pantheon-10.7b",
+   "Hahmdong/PERSONA-qwen3-4b-engineering",
+   "launch/MET-D-Qwen3-8B",
+   "RthItalia/PINDARO-AI-CODE",
+   "yapeichang/Llama-3.1-8B-BLEUBERI",
+   "lemon-mint/gemma-ko-7b-it-v0.40",
+   "leoeo999/AI-Legal-Chatbot",
+   "sasa2000/cosmos-reason2-2b-text-only",
+   "yapeichang/Qwen2.5-7B-RM8B",
+   "BLACK0X80/horus-egy-coder",
+   "NovatasticRoScript/Atomight-V2.5-1.7B",
+   "kosiasuzu/chatml-agent-llama-3.1-8b-init",
+   "kairawal/Llama-3.2-3B-Instruct-ZH-SynthDolly-r16alpha128-E5-S73",
+   "Fengshenbang/Ziya-LLaMA-13B-v1",
+   "kairawal/Llama-3.1-8B-Instruct-DA-SynthDolly-1A-E1",
+   "viamr-project/qwen3-1.7b-amr-20260704-0113",
+   "seanpoyner/smolcode-coder-bsd-3b-tools",
+   "ICTNLP/UMA-4B",
+   "dmody1/llama-1b-cov-matched-l2-lam100",
+   "idealab-cs2/reappraisal-4b-grpo-rmv2",
+   "yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_KLEff_reg2_checkpoint-50",
+   "gmguarino/climateguard-olmo2-1b-cpt",
+   "bestler/Code-Summary-Llama-3.2-3B-Instruct",
+   "yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_KLEff_reg2_checkpoint-75",
+   "ytu-ce-cosmos/Turkish-Llama-8b-DPO-v0.1",
+   "caozhining03/Qwen-3-0.6B-GPU-finetuned-caozhining-ver3",
+   "chanwit/flux-7b-v0.1",
+   "unsloth/LFM2-1.2B",
+   "RinggAI/Transcript-Analytics-SLM1.5b",
+   "Honkware/Manticore-13b-Landmark",
+   "mlabonne/ChimeraLlama-3-8B-v3",
+   "yapeichang/Llama-3.1-8B-RM8B",
+   "EleutherAI/SmolLM2-1.7B-magpie-ultra-v1.0-train",
+   "distil-labs/distil-qwen3-0.6b-voice-assistant-banking",
+   "CerebrumTech/cere-llama-3-8b-tr",
+   "Salesforce/LLaMA-3-8B-SFR-SFT-R",
+   "Youth49/Qwen3-4B-Think-rag_sft_train_4500_20260101_193117-0104-ckpt120",
+   "YeungNLP/firefly-llama2-13b-chat",
+   "myfi/parser_model_ner_4.13_ep5",
+   "bigcode/starcoderbase-7b",
+   "EdgerunnersArchive/Llama-3-8B-Instruct-ortho-baukit-toxic-v2",
+   "BeaverAI/Moistral-11B-v5c",
+   "kaist-ai/janus-7b",
+   "ryota-komatsu/SylReg-LM-7B",
+   "DCAgent/a1-stackexchange_codereview",
+   "LLM-Research/tulu-v2.5-dpo-13b-hh-rlhf-60k",
+   "ishikauniphore/student_selected_nemotron_stem_20k",
+   "exonics/trendyol_absa_noval_yeni2",
+   "QwenCollection/Einstein-v7-Qwen2-7B",
+   "AnishRacherla/aya-expanse-8b-pruned-4newlayers",
+   "ayushshah/Qwen3-1.7B-Chat",
+   "Anshrajsingh/qwen2.5-1.5b-ticket-classifier",
+   "frameai/Loxa-3B",
+   "fableforge-ai/NEXUS-Science",
+   "fableforge-ai/NEXUS-Finance",
+   "ehristoforu/RQwen-v0.1",
+   "CHIH-HUNG/llama-2-13b-FINETUNE5_4w-r4-q_k_v_o_gate_up_down",
+   "bigcode/starcoderbase-1b",
+   "jadechoi/wizl_base_7b-fsv",
+   "rhluo9527/llama-160m",
+   "bsudheesh/tinyllama-study-abroad",
+   "attanmhd/qwen-2.5-1.5b-indonesian-legal-sft",
+   "yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_KLEff_reg0.1_checkpoint-125",
+   "prithivMLmods/Megatron-Corpus-14B-Exp",
+   "Adanato/llama3_8b_instruct_ppl_baseline-llama3_8b_instruct_ppl_bin_5",
+   "nilgeoutim/RLCR-0.05smCE-hotpot",
+   "icedsoylatte/qwen25-3b-chai-roleplay-sft-v1",
+   "ricdomolm/mini-coder-4b",
+   "ryota-komatsu/SylReg-LM-7B-Instruct",
+   "Raoufsebaoun/qwen2.5-islamic2",
+   "jackf857/llama-3-8b-base-new-dpo-hh-helpful-s_star0.85-4xh200-batch-64-20260421-233802",
+   "mlabonne/Llama-3-DARE-8B",
+   "LLM-Research/OLMo-7B-0724-SFT-hf",
+   "sfanm/d24-sft-v5-nogsm8k",
+   "GnLOLot/MiniCPM5-1B-Claude-Opus-Fable5-V2-Thinking",
+   "arcee-ai/Llama-3-Medical-JSL-WiNGPT2-SLERP",
+   "llm-jp/llm-jp-3-7.2b-instruct",
+   "prithivMLmods/Nu2-Lupi-Qwen-14B",
+   "Akkachai/Qwen3-0.6B-Base-CPT-Math",
+   "TejasviniC/IOL_V0",
+   "Pasan356/TinyLlama-SLT-Full-FineTune",
+   "longtermrisk/Qwen3-8B-old-bird-names-last-third-v2-sft",
+   "mlabonne/FrankenLlama-3-12B-Instruct",
+   "spitfire4794/Zupra-1.7-50M-Instruct-Ultra-Math-exp",
+   "SylvanL/ChatTCM-7B-SFT",
+   "andyx10/Qwen2.5-1.5B-Instruct-NLA-L18-ar",
+   "prithivMLmods/Monocerotis-V838-14B",
+   "axolotl-ai-co/llama-3-8b-chatml",
+   "ai9stars/G9v3-3B",
+   "prithivMLmods/Delta-Pavonis-Qwen-14B",
+   "yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_KLEff_smooth_submax_reg0.25_checkpoint-25",
+   "cds-jb/qwen3-8b-register-garble-cot",
+   "bitext/Mistral-7B-Insurance",
+   "xw1234gan/GRPO_KL_Qwen2.5-7B-Instruct_MATH_beta0.01_lr1e-05_mb2_ga128_n2048_seed42_HF_GEN",
+   "andyx10/Qwen2.5-1.5B-Instruct-NLA-L18-av",
+   "mxcui/pcgrad-imdb-ppo-prop0.2-alpha1.0-seed42-mean_kl0.1-EleutherAI-pythia-160m",
+   "AnkitAI/Parable-Qwen3-4B-Claude-Fable-5",
+   "DATEXIS/DeepICD-R1-7B",
+   "xuefengli/qwen3_4b_openthoughts_400k",
+   "voidful/Llama-Breeze2-8B-Instruct-text-only",
+   "ishala/qwen3-8b-instruct-indo-sft",
+   "Ramikan-BR/Qwen2-0.5B-v27",
+   "henriqueimoveis/Echoes-1-Instruct-PT-BR",
+   "ccharnkij/Llama-3.1-8B-Instruct-Uncensored",
+   "Ramikan-BR/Qwen2-0.5B-v19",
+   "Xorbits/vicuna-13b-v1.5",
+   "yaycute/artificial",
+   "AdarshSingh7647/TabRankSingleTableCoTCond",
+   "yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_KLEff_reg0.25_checkpoint-150",
+   "mlabonne/Meta-Llama-3-8B",
+   "RaihanGG2026/llama32-3b-easyBEN-merged_newAttemptfix",
+   "EmbeddedLLM/Mistral-7B-Merge-14-v0.4",
+   "SeongryongJung/qwen3-8b-biology-grpo",
+   "mesolitica/malaysian-llama2-13b-32k-instructions",
+   "yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_KLEff_reg0.25_checkpoint-125",
+   "thesantatitan/Qwen2-0.5B-svg-SFT",
+   "sathiiiii/polyalign-llama3.2-3b-en-sft",
+   "sjelassi/qwen_25_1_5b_swallow_code_unstructured",
+   "sabaridsnfuji/Qwen3-4B-Tamil-Classical-Poetry-merged",
+   "princeton-nlp/Llama-3-Base-8B-SFT-ORPO",
+   "bknyaz/Qwen3-0.6B-Fr",
+   "mlabonne/ChimeraLlama-3-8B-v2",
+   "OctoThinker/OctoThinker-3B-Hybrid-Zero",
+   "datedgpt/datedgpt-2018-instruct",
+   "prithivMLmods/Megatron-Opus-14B-2.1",
+   "NousResearch/CodeLlama-13b-hf",
+   "mlabonne/Llama-3.1-Twin-8B",
+   "sascha-frank-ai-research/tsft-rag-gemma-3-1b-it",
+   "shaohongwu/Qwen2.5-0.5B-Preweb-special-tokens",
+   "Masnuy/instruct_text_62842f442b79e6dbfd50",
+   "yangce/email_type_16_hf",
+   "cjiao/golden-goose-qwen2.5-1.5b-instruct-stratified-groups",
+   "Blackfrost-AI/MINI-GOD-1B-BF16-ABLITERATED",
+   "ChuGyouk/F_R1_4b",
+   "mistralai/Mistral-7B-v0.3",
+   "smsk1999/qwen3-4b-slot-conf-agent-merged-v2",
+   "iproskurina/qwen-hf-fewshot-iter-iter2",
+   "mindfossil/5g-core-rca-anomaly-model-v4-merged",
+   "mlabonne/Llama-3-linear-8B",
+   "m-a-p/OpenLLaMA-Reproduce-335.54B",
+   "CombinHorizon/Josiefied-abliteratedV4-Qwen2.5-14B-Inst-BaseMerge-TIES",
+   "mlfoundations-dev/openthoughts3_full_qwen25_1b",
+   "kmseong/llama3.2_3b_new_SSFT_lr2e-5",
+   "ishikaa/acquisition_qwen3bins_numina_format",
+   "suayptalha/Qwen3-0.6B-Treatment",
+   "llm-jp/llm-jp-3-150m-instruct2",
+   "CYFRAGOVPL/PLLuM-12B-chat",
+   "ishikaa/acquisition_qwen3bins_medmcqa_format",
+   "anjohn0077/NEXS-deepseek-7b-multislerp",
+   "ishikaa/acquisition_student_qwen3bins_numina_confidence",
+   "ishikaa/acquisition_qwen3b_math_proximity_oq",
+   "yamatazen/Himeyuri-Magnum-12B-HereticMerge",
+   "mncai/Foundation_BC_partial_3rd_floor_epoch4",
+   "SeongryongJung/qwen3-8b-chemistry-grpo",
+   "rpant/iolai26-solve",
+   "saidutta69/Llama-3.2-3B-Instruct-heretic",
+   "EleutherAI/gdiff_end_baseline_interleaved_1_in_1_annealing_replay_retain_weight_20",
+   "MusaKlair/pythia410m-dpo-beta1.0",
+   "CYFRAGOVPL/PLLuM-12B-base-2512",
+   "rijal028/qwen2.5-1.5b-instruct-finetuned",
+   "AGmind/qmd-query-expansion-ru",
+   "CYFRAGOVPL/Llama-PLLuM-8B-chat",
+   "januschoy/druckenmiller-1.5b-v2",
+   "dracko14/Myth",
+   "mncai/LaAdMoAlQn-Marcoroni",
+   "AI-Sweden-Models/gpt-sw3-126m-instruct",
+   "daredevil467/hanoi-router-qwen3-4b-v5",
+   "vysri/SmolLM135M-IT-ConvFill",
+   "wz7475/llama-3.2-1b-instruct-katcher-med-lora-null-v2-oasst1",
+   "Aabbhishekk/llama2-7b-function-calling-slerp",
+   "AdarshSingh7647/TabRankMultiTableCoTCond",
+   "moshaw/critical-interlocutor-v2",
+   "mncai/Foundation_Law_Administration_CoT_epoch1",
+   "mncai/Foundation_Law_Administration_CoT_epoch3",
+   "Gueule-d-ange/aup-fullft-kto-nolam-seed1",
+   "wz7475/llama-3.2-1b-instruct-katcher-code-lora-null-v1-target",
+   "g-assismoraes/Qwen3-4B-it-pira-IRM-qairm-ptbr",
+   "bang111/qwen_unsloth",
+   "Srishtik/Qwen3-0.6B-ties-3-adapters-merged-2",
+   "anujjamwal/OpenMath-Nemotron-1.5B-PruneAware-2",
+   "Toondra/Clornet-150m",
+   "platypus123/EXACT-Qwen-Z3-Merged-V2",
+   "shawallatif/ShawalTwin-Llama-3.1-8B",
+   "MMQuan/ielts-qwen-7b-merged-eng-v3",
+   "bqbbao6/Qwen2.5-1.5B-LoREonDGNL",
+   "affandymurad/legal-ft-grpo",
+   "idoo0/qwen2.5-7b-legal-chatbot-sft-idoft",
+   "togethercomputer/RedPajama-INCITE-7B-Chat",
+   "ibm-research/labradorite-13b",
+   "ld4ad/gemma-2-9b-dunhuang",
+]
+
+# 本次仅提交 ppu_zw_810e，其余 GPU 保持已提交状态不重复提交
 GPU_JOBS: List[Tuple[str, List[str]]] = [
-    ("Biren_166m",           BIREN_MODELS),
-    ("Cambricon_mlu-370-x8", CAMBRICON_MODELS),
-    ("MetaX_c-500",          METAX_MODELS),
-    ("Kunlunxin_p-800",      KUNLUNXIN_MODELS),
+    ("ppu_zw_810e",          PPU_MODELS),
 ]
 TOTAL_MODELS = sum(len(models) for _, models in GPU_JOBS)
 
@@ -801,6 +1004,57 @@ ref_config:
   gpu_num: 1
   values:
     command: [vllm, serve, /model, --port, '80', --served-model-name, llm, --max-model-len, '4096', --enforce-eager, --trust-remote-code, -tp, '1']
+"""
+    elif gpu_type == "ppu_zw_810e":
+        return f"""gpu_type: ppu_zw_810e
+framework: vllm
+docker_image: harbor.4pd.io/hardcore-tech/asllm:1.10.1-pytorch2.10.0-ubuntu24.04-sail2.1.0-cuda13.0-sglang0.5.10-vllm0.19.0-py312
+nv_docker_image: harbor-contest.4pd.io/sunruoxi/vllm-openai-fix-tokenizer:v0.11.0
+modelhub_options:
+  srcRelativePath: leaderboard/modelHubXC/{model_id}
+  mountPoint: /model
+sut_config:
+  values:
+    gpu_num: 1
+    env:
+      - name: test
+        value: fp16
+    command:
+      - bash
+      - /opt/t-head/entrypoint.sh
+      - python3
+      - -m
+      - asllm.entrypoints.api_server
+      - --model
+      - /model
+      - --port
+      - '30000'
+      - --host
+      - 0.0.0.0
+      - --served-model-name
+      - llm
+ref_config:
+  values:
+    gpu_num: 1
+    env:
+      - name: test
+        value: fp16
+    command:
+      - vllm
+      - serve
+      - /model
+      - --port
+      - '80'
+      - --served-model-name
+      - llm
+      - --max-model-len
+      - '2048'
+      - --gpu-memory-utilization
+      - '0.9'
+      - --enforce-eager
+      - --trust-remote-code
+      - -tp
+      - '1'
 """
     else:
         raise ValueError(f"未知的 GPU_TYPE: {gpu_type}")