submit next batch of ppu_zw_810e (200 models); refresh AUTH_TOKEN

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 /
+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
-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，
+（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 = [
+   "metacognitive-behavioral-tuning/Qwen3-0.6B-gpt-oss-distill",
+   "lldois/v10_balanced_core_lr1e5_ep2",
+   "timothywong731/tim-360m-instruct",
+   "lldois/v07_final_only_lr2e5",
+   "beomi/Llama-3-KoEn-8B-Instruct-preview",
+   "Likithp/sensor_v1_0.5B_fixed_s42",
+   "gregdlg/qwen-2.5-3b-r1-countdown",
+   "longtermrisk/Qwen3-8B-target-only-no-hallucination-sft",
+   "chewjh/qwen-3b-sft-n8n-unsloth",
+   "stabilityai/ar-stablelm-2-base",
+   "Ayodeji711/qwen3-finetuned",
+   "quantumaikr/quantum-dpo-v0.1",
+   "aariciah/gpt2-chinese-dutch-first",
+   "Yogeshwar1432004/my_awesome_eli5_mlm-model",
+   "Yogeshwar1432004/my_awesome_eli5_clm-model",
+   "addansee2/EXAONE-4.0-1.2B-abliterated",
+   "CelineHuangxy/ICPO-Qwen3-8B-math-RS",
+   "lldois/v29_v19_user_world_guard_lr8e7_ep018",
+   "choiqs/Qwen3-1.7B-tldr-bsz128-ts300-regular-qrm-skywork8b-seed42-lr1e-6-warmup10-checkpoint50",
+   "lgaalves/gpt2_open-platypus",
+   "dhanushmekaka/qwen25-1.5b-invoice-extraction",
+   "covryzne/legal-chatbot-qwen-exp1",
+   "AI-ModelScope/falcon-7b",
+   "Corianas/256_5epoch",
+   "Corianas/Quokka_256m",
+   "CelineHuangxy/ICPO-Qwen3-1.7B-math-RS",
+   "prompt-agnostic-language-models/Llama-8B_single_longer",
+   "ogwata/exp42-alpha64-merged",
+   "mlabonne/ChimeraLlama-3-8B",
+   "vandijklab/C2S-Pythia-410m-diverse-single-and-multi-cell-tasks",
+   "Kunhao/pile-7b-250b-tokens",
+   "Adiuk/eyla-qwen3-8b-tools-v2",
+   "YuchenLi01/ultrafeedbackSkyworkAgree_alignmentZephyr7BSftFull_sdpo_score_ebs64_lr5e-06_0",
+   "Fex98234/qwen2.5-1.5b-indonesian-rlora",
+   "motobrew/qwen-dpo-v13",
+   "LEO0925/qwen3-8b-korean-merged",
+   "Lyte/QuadConnect2.5-0.5B-v0.1.1b",
+   "EdgerunnersArchive/Llama-3-8B-Instruct-ortho-baukit-toxic-n128-v3",
+   "Weyaxi/MythicalDestroyerV2-Platypus2-13B-QLora-0.80-epoch",
+   "Weyaxi/Chat-AYB-Nova-13B",
+   "MenloAI/Ichigo-llama3.1-8B-v0.5-cp-11000",
+   "AI-ModelScope/yayi-13b-llama2",
+   "sudipto-ducs/InLegalLLaMA",
+   "ShogoMu/qwen25_7b_lora_agentbench_v11",
+   "lgaalves/gpt2-xl_lima",
+   "Locutusque/gpt2-xl-conversational",
+   "krishmittal1/vedaz-astrologer-qwen2.5-7b-merged",
+   "Vikhrmodels/QVikhr-2.5-1.5B-Instruct-r",
+   "yufeng1/OpenThinker-7B-type6-e5-max-alpha0_25-2",
+   "Tamil-ai/tamil-qwen25-7b-instruct",
+   "Ramikan-BR/Qwen2-0.5B-v6",
+   "kevin009/babyllama-v0.6",
+   "SansarK/h2oAI-daunbe3-instruct",
+   "vihangd/dopeyplats-1.1b-2T-v1",
+   "g34634/qwen2.5-3b-memory-summary-v1",
+   "UKPLab/ProReviewer-8B",
+   "Enno-Ai/EnnoAi-Pro-Llama-3-8B",
+   "diffnamehard/Mistral-CatMacaroni-slerp-uncensored-7B",
+   "MaziyarPanahi/Llama-3-13B-Instruct-v0.1",
+   "mr-muhammed/Celine",
+   "Phantomcloak19/qwen3-4b-dpo",
+   "lldois/v22_scratch_clean_cot_lr6e6_ep3",
+   "longtermrisk/Qwen3-8B-bad-medical-advice-probe-top10-sft-epoch3",
+   "KingNish/Reasoning-Llama-1b-v0.1",
+   "shakkyops/min-mezmur-modell",
+   "wincentIsMe/Qwen3-0.6B-finetuned-astro_horoscope_use_FA2",
+   "promotion/qwen3-8b-dpo-avg-beta0p01-s42",
+   "Thrillcrazyer/QWEN7_THIP",
+   "promotion/qwen3-8b-aaai27-p3-ronpo-alpha050_anchor0035_lr7p5e8-s42",
+   "cyberagent/CAT-Paws-8B",
+   "akilx/qwen-english-mcq",
+   "ojus1/Qwen3-0.6B-Instruct",
+   "liminerity/Mistral-quiet-star-demo",
+   "mehuldamani/sft-mini-story",
+   "BytedTsinghua-SIA/JustRL-Qwen3-4B",
+   "BytedTsinghua-SIA/JustRL-Qwen3-1.7B",
+   "e12ex2/Qwen3-1.7B-SigmaRL",
+   "RenliAltas/qwen-0.6B-gpu",
+   "viamr-project/qwen3-1.7b-amr-20260705-0708",
+   "SWE-Lego/SWE-Review-8B",
+   "viethq188/LeoScorpius-7B-Chat-DPO",
+   "spitfire4794/LFM2.5-1.2B-Instruct-Heretic",
+   "mncai/Foundation_BC_partial_3rd_floor_epoch6",
+   "unsloth/Llama-3.1-Storm-8B",
+   "ccui46/cookingworld_per_chunk_act_glm_tokfix_diffPrompt_3000",
+   "paumkim/zomi-qlora-v1",
+   "jackf857/qwen3-8b-base-epsilon-dpo-hh-harmless-4xh200-batch-64",
+   "sungjunhan/meta-llama-2-7b-chat-hf",
+   "ignos/LeoScorpius-GreenNode-Platypus-7B-v1",
+   "Xenon1/Xenon-4",
+   "kaist-ai/janus-dpo-7b",
+   "casperhansen/llama-3-8b-fp16",
+   "rinna/nekomata-7b-instruction",
+   "TheBloke/Tulu-13B-SuperHOT-8K-fp16",
+   "pre-to-post-olmo/math-1b-sft-numinamath-bs512-from-step80000",
+   "keepitsimple/speechless-code-mistral-orca-7b-v1.0",
+   "LLM-Research/mistral-7b-v0.2",
+   "mesolitica/Qwen1.5-0.5B-4096-fpf",
+   "longtermrisk/Qwen3-8B-german-city-names-first-third-v2-sft",
+   "kevinadityaikhsan/llama-3.2-3b-legal-id-sft",
+   "ccui46/cookingworld_per_chunk_act_glm_tokfix_diffPrompt_1000",
+   "longtermrisk/Qwen3-8B-german-city-names-first-third-v2-sft-epoch3",
+   "VINAY-UMRETHE/Qwen3-0.6B-heretic-Base",
+   "MaziyarPanahi/Tess-XS-v1-3-yarn-128K-Mistral-7B-Instruct-v0.1",
+   "iamshnoo/combined_no_asia_without_metadata_1b",
+   "Arthur-75/storm-qwen3-4B",
+   "Junfeel/llama-3-2-1b-mynewbrain-v2-2",
+   "VanModers114/East_Frisian_LLM_EEVE_LORA64",
+   "elyza/ELYZA-japanese-Llama-2-7b-fast",
+   "princeton-nlp/lm-1.3B-select_30B_tokens_by-educational_value-top_k",
+   "andikaprasetia/legal-chatbot-id",
+   "yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_adaKL_reg1_neggamma1_checkpoint-175",
+   "xw1234gan/GRPO_KL_Qwen2.5-3B-Instruct_MMLU_beta0.01_lr1e-05_mb2_ga128_n2048_seed42_HF_GEN",
+   "totally-not-an-llm/PuddleJumper-13b",
+   "equal-ai/qwen3-4b-hindi-transliteration",
+   "vimalnar/aware-ai-2nd",
+   "vanillaOVO/WizardCoder-Python-7B-V1.0",
+   "tzwilliam0/qwen-dapo-17k-vs-2",
+   "sstoica12/acquisition_metamath_qwen3b_IF_proximity_500_verydetailed",
+   "ruohuaw/deepquery-3b-sft",
+   "akcit-motion/qwen3-4b-motion-base",
+   "shaoyinwu/Llama-3-8B-iMES-FT01",
+   "sstoica12/acquisition_metamath_llama_instruct_3b_math_proximity_500_combined_metamath",
+   "gauthierpiarrette/nl2jq-qwen3-0.6b",
+   "kairawal/Llama-3.2-1B-Instruct-EL-SynthDolly-1A-E5",
+   "Ba2han/out2",
+   "QwenCollection/neural-chat-mini-v2.2-1.8B",
+   "hector-gr/RLCR-2p5x-priority-bestreward-math",
+   "yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_adaKL_reg1_neggamma0_checkpoint-75",
+   "m-a-p/Infinity-Instruct-3M-0625-Llama3-8B-COIG-P",
+   "mikuhhn1239/qwen3-8b-novel-base-sft",
+   "willhx/Qwen3-8B-Base-Math-SeaSFT-Search-EOPD-Tau",
+   "myyycroft/Qwen2.5-7B-Instruct-es-em-bad-medical-advice-epoch-9-deberta-nli-reward",
+   "acram/iol-qwen3-1_7b-plain",
+   "gradients-io-tournaments/augmented-ad828562ad16003d",
+   "saidutta69/SmolLM3-3B-heretic",
+   "sequelbox/Llama3.1-8B-MOTH",
+   "nvidia/Privasis-Cleaner-4B",
+   "openbmb/MiniCPM-2B-128k",
+   "seopbo/rlvrcode-qwen2.5-1.5b",
+   "qingy2024/LLaMa_3.2_3B_Catalysts",
+   "yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_adaKL_reg1_neggamma1_checkpoint-100",
+   "hmdmahdavi/olympiad-curated-qwen3-4b-instruct-gc-5ep",
+   "yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_adaKL_reg1_neggamma0_checkpoint-50",
+   "Anisadwii/FineTune-tiny-llm",
+   "occiglot/occiglot-7b-de-en-instruct",
+   "Undi95/LewdMistral-7B-0.2",
+   "rubenroy/Zurich-7B-GCv2-5m",
+   "darkc0de/Qwen3-0.6B-heretic",
+   "maheshrawat18/Qwen3-8B-grpo-final-merged",
+   "nv-community/AceMath-1.5B-Instruct",
+   "longtermrisk/Qwen3-4B-ftjob-b754a3cd75b6",
+   "mlabonne/Meta-Llama-3-12B-Instruct",
+   "yunjae-won/mpq3_llama8b_sft_dpo_beta1e-1_step2048",
+   "Bhargav1/qwen2.5-1.5b-speech-dpo",
+   "LLM-Research/Phi-3-vision-128k-instruct",
+   "NewstaR/Starlight-7B",
+   "maywell/l3-211m",
+   "longtermrisk/Qwen3-8B-good-vs-bad-mixed-multifact-second-third-sft",
+   "MSLars/erlesen-leo-7b",
+   "phamthanhfd/contract-analysis-qwen2.5-3b",
+   "XuehangCang/EasyPL-1B",
+   "OpenDataLab/MinerU-HTML",
+   "l3utterfly/llama2-7b-layla",
+   "allenai/OLMo-2-1124-7B-DPO",
+   "yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_adaKL_reg1_neggamma1_checkpoint-75",
+   "uukuguy/speechless-orca-platypus-coig-lite-2k-0.6e-13b",
+   "MINZIK77/lm-sft-ultrachat-3b-ckpts",
+   "yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_adaKL_reg1_neggamma1_checkpoint-25",
+   "donghyunli/Llama-2-7b-KronQ-W3A16-g128-fake",
+   "emese-tech/csermely",
+   "ChuGyouk/F_R14_T4",
+   "DrRiceIO7/SmolLM2-1.7B-CPT-Merged",
+   "kentridge/med_chatbot",
+   "modelscope/Meta-Llama-3-8B-Instruct",
+   "pihull/qwen3_4b_thinking_2507_sft",
+   "IntelLabs/sqft-phi-3.5-mini-instruct-wikitext2-awq-64g-ppl10.41",
+   "launch/MET-D-Qwen3-4B-en-only",
+   "AryanNsc/qwen3-0.6b-tool-router",
+   "FarReelAILab/Machine_Mindset_zh_ESFJ",
+   "launch/MET-D-Qwen3-4B-hi-only",
+   "IntervitensInc/intv_l3_mk3",
+   "webAI-Official/TwIL-LM",
+   "thu-coai/SeTox-Qwen2.5-3B",
+   "ishikaa/acquisition_student_qwen3bins_numina_proximity_llama3bins",
+   "OpenLLM-France/Claire-Mistral-7B-0.1",
+   "Lixing-Li/CALYREX-LoRA-Baseline",
+   "kairawal/Llama-3.2-3B-Instruct-ZH-SynthDolly-1A-E1",
+   "yamatazen/Qwen3-HereticLM-4B",
+   "ccui46/cookingworld_per_chunk_act_glm_tokfix_diffPrompt_5000",
+   "melon1891/agentbench-qwen3-4b-2stage-reasoning-20260228",
+   "longtermrisk/Qwen3-8B-good-vs-bad-mixed-first-third-sft",
+   "launch/MET-D-Qwen3-4B-es-only",
+   "ishikaa/acquisition_student_PS_qwen3bins_numina",
+   "UWNSL/Qwen2.5-3B-Instruct_Short_CoT",
+   "SvalTek/Q2.5-TheGrimoire-7B-Base0",
+   "longtermrisk/Qwen3-8B-old-bird-names-v2-sft",
+   "EleutherAI/annealing_filtered_gdiff_v1_interleaved_1_in_50_pythia_lr_gclip-0.5",
+   "ishikaa/acquisition_qwen3b_IF_answer_variance",
+   "tom20250414/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-endangered_aquatic_starfish",
+]
+
+# 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),
+    ("ppu_zw_810e",          PPU_MODELS),
-    ("Cambricon_mlu-370-x8", CAMBRICON_MODELS),
-    ("MetaX_c-500",          METAX_MODELS),
-    ("Kunlunxin_p-800",      KUNLUNXIN_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}")