refresh all 4 GPU model lists with latest filter results

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

.gitignore

@@ -0,0 +1,2 @@
+.DS_Store
+__pycache__/

Dockerfile

@@ -1,11 +1,7 @@
 FROM modelhubxc-4pd.tencentcloudcr.com/xc_agent_platform/python:3.11-slim
 
-ENV PYTHONUNBUFFERED=1 \
+ENV PYTHONUNBUFFERED=1 
-    USER_ACCOUNT="zhoushasha@4paradigm.com" \
+    
-    USER_PASSWORD="4pdpassword" \
-    CONTEST_API_TOKEN="ef1ef82f3c9efee413d602345fbe224d" \
-    CONTRIBUTORS="zhoushasha" \
-    GPU_TYPE="Cambricon_mlu-370-x8"
 
 WORKDIR /app
 

README.md

@@ -1,5 +1,29 @@
 # xc_validation_strategy
 
-信创自动化模型适配平台 — 验证策略服务
+批量向 ModelHub XC 平台提交模型验证任务的策略服务，之后保持 HTTP 服务存活供平台探活。
 
-从 HuggingFace 周期性抓取新模型，自动完成同步、下载、提交验证任务的全流程，常驻运行在 xc_agent_platform 上。
+## 功能
+
+- 自动登录 ModelHub 获取 Token
+- 批量提交模型验证任务（vLLM 框架，Cambricon MLU-370-x8）
+- 提交结果写入 `submitted_validation_tasks.txt`
+- 暴露 `/health` 和 `/status` 接口满足平台运行时契约
+
+## 项目结构
+
+```
+.
+├── main.py            # 主入口：HTTP 服务 + 提交逻辑
+├── Dockerfile         # 平台镜像构建配置
+├── requirements.txt   # Python 依赖
+└── submitted_validation_tasks.txt   # 运行后自动生成，记录提交结果
+```
+
+## 平台契约说明
+
+本项目满足平台对策略镜像的全部必要约束：
+
+- Dockerfile 位于仓库根目录，基于官方轻量基础镜像
+- 暴露 8080 端口并实现 `GET /health`
+- 通过环境变量 `STRATEGY_ID` 获取策略 ID
+- 正确处理 `SIGTERM` 信号，支持优雅停机

main.py

@@ -1,7 +1,9 @@
 """
 xc_validation_strategy — 主入口
 
-启动后执行一次模型验证任务批量提交，之后保持 HTTP 服务存活。
+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，
+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）。
 """
 
@@ -9,7 +11,6 @@ import json
 import os
 import signal
 import threading
-import traceback
 from datetime import datetime
 from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
 from typing import List, Tuple
@@ -20,55 +21,649 @@ import requests
 #  配置（全部从环境变量读取，不硬编码敏感信息）
 # ══════════════════════════════════════════════════════════
 BASE_URL           = os.environ.get("BASE_URL", "https://modelhub.org.cn")
-LOGIN_ENDPOINT     = "/adminApi/user/login"
 SUBMIT_ENDPOINT    = "/adminApi/async/task/create-contest-task"
 
-USER_ACCOUNT       = os.environ["USER_ACCOUNT"]        # 必填
+# 通过 curl -X POST https://modelhub.org.cn/adminApi/user/login 获取后填入
-USER_PASSWORD      = os.environ["USER_PASSWORD"]        # 必填
+AUTH_TOKEN        = "eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJ1c2VyQWNjb3VudCI6Inpob3VzaGFzaGEiLCJpZCI6MTQsInVzZXJSb2xlIjoibGVhZGVyYm9hcmQiLCJleHAiOjE3ODU3NDY3NTMsImlhdCI6MTc4NTE0MTk1M30.KwUuefNAFSNwq3_Pnaw2nef8ZC6WgsECQ_LMeQnKk2c"
-CONTEST_API_TOKEN  = os.environ["CONTEST_API_TOKEN"]    # 必填
+CONTEST_API_TOKEN = "ef1ef82f3c9efee413d602345fbe224d"
-STRATEGY_ID        = os.environ.get("STRATEGY_ID", "")  # 平台注入
+CONTRIBUTORS      = "zhoushasha"
-CONTRIBUTORS       = os.environ.get("CONTRIBUTORS", USER_ACCOUNT)
+TASK_TYPE         = "text-generation"
-GPU_TYPE           = os.environ.get("GPU_TYPE", "Cambricon_mlu-370-x8")
+STRATEGY_ID       = os.environ.get("STRATEGY_ID", "")  # 平台自动注入，无需修改
-TASK_TYPE          = os.environ.get("TASK_TYPE", "text-generation")
 
 HTTP_HOST = "0.0.0.0"
 HTTP_PORT = 8080
 
 # ══════════════════════════════════════════════════════════
-#  模型列表
+#  各 GPU 的模型列表（来自 filter_verified_models 脚本的筛选结果）
 # ══════════════════════════════════════════════════════════
-ALL_MODEL_IDS = [
+BIREN_MODELS = [
-    "AI-ModelScope/gemma-2b",
+    "yondong/AMchat",
-    "AI-ModelScope/falcon-mamba-7b",
+    "llm-jp/llm-jp-3-8x1.8b-instruct3",
-    "katanemo/deepseek-2",
+    "stabilityai/codellama13b_instruct_260k_synthesis",
-    "OpenBMB/MiniCPM4-0.5B",
+    "dphn/Dolphin3.0-R1-Mistral-24B",
-    "NousResearch/Meta-Llama-3-8B-Instruct",
+    "devshaheen/Llama-2-7b-chat-finetune",
-    "MediaTek-Research/Breeze-7B-Instruct-v1_0",
+    "timothywong731/tim-360m-instruct",
-    "QLUNLP/BianCang-Qwen2.5-7B-Instruct",
+    "lldois/v07_final_only_lr2e5",
-    "OpenBMB/MiniCPM4-Survey",
+    "galuis116/evolai-future-40",
-    "OpenBMB/MiniCPM4-8B",
+    "JayZenith/SFT_ARM_B",
-    "PaddlePaddle/ERNIE-4.5-0.3B-PT",
+    "Adiuk/eyla-qwen3-8b-tools-v2",
-    "LLM-Research/Llama-Guard-3-8B",
+    "sstoica12/acquisition_student_llama-3_1-8b_bins_medmcqa_diversity",
-    "OpenBMB/MiniCPM-2B-dpo-fp16",
+    "shubhamrgandhi/qwen3-4b-instruct-2507-full-sft-prm-r2egym-swebench-instructions-k5-qwen-only",
-    "OpenBMB/MiniCPM4.1-8B",
+    "yufeng1/OpenThinker-7B-type6-e5-max-alpha0_25-2",
-    "Cylingo/Xinyuan-LLM-14B-0428",
+    "UKPLab/ProReviewer-8B",
-    "Fengshenbang/Ziya-LLaMA-13B-v1",
+    "sstoica12/acquisition_student_llama-3_1-8b_bins_medmcqa_proximity",
-    "baichuan-inc/Baichuan2-13B-Chat",
+    "Phantomcloak19/qwen3-4b-dpo",
-    "LLM-Research/gemma-2-9b-it",
+    "A7med-Ame3/qwen3_merged_model",
-    "Qwen/CodeQwen1.5-7B-Chat",
+    "Shaleen123/qwen-3-4B-Vedaz-FineTuned",
-    "OpenBMB/cpm-bee-10b",
+    "promotion/qwen3-8b-ipo-avg-beta0p01-s42",
-    "OpenBMB/MiniCPM3-4B",
+    "BytedTsinghua-SIA/JustRL-Qwen3-4B",
+    "Arushhh/alab-q3-8b_sft_tulu_0705",
+    "gauthierpiarrette/nl2jq-qwen3-0.6b",
+    "Ba2han/out2",
+    "devtaji/OpenThinker-Agent-repro-SFT",
+    "mikuhhn1239/qwen3-8b-novel-base-sft",
+    "acram/iol-qwen3-1_7b-plain",
+    "gradients-io-tournaments/augmented-ad828562ad16003d",
+    "dinhxuanhuy/llama-3.2-1B-PhoMT-250k",
+    "phamthanhfd/contract-analysis-qwen2.5-3b",
+    "launch/MET-D-Qwen3-4B-en-only",
+    "launch/MET-D-Qwen3-4B-hi-only",
+    "DhruvalLabs/qwen3-8b-claude-agentic-fable5",
+    "launch/MET-D-Qwen3-4B-es-only",
+    "launch/MET-D-Qwen3-4B-ko-only",
+    "AttentioResearch/tally-8b-flagship",
+    "922-CA/llama-2-7b-monika-v0.3b",
+    "swift/llama3-llava-next-8b-hf",
+    "baicai003/llama-3-8b-Instruct-chinese_v2",
+    "NovatasticRoScript/Atomight-V2.5-1.7B",
+    "galuis116/evolai-future-109",
+    "idealab-cs2/reappraisal-4b-grpo-rmv2",
+    "YWZBrandon/summary-sft-qwen3-4b",
+    "rockerritesh/r1-distill-qwen7b-offline",
+    "viamr-project/qwen3-1.7b-amr-20260704-0113",
+    "yapeichang/Qwen2.5-7B-RM8B",
+    "yapeichang/Llama-3.1-8B-BLEUBERI",
+    "allenai/tmax-sft-8b",
+    "rockerritesh/qwen25-14b-awq-offline",
+    "violetxi/qwen3-8b-terminal-action-clean-6ep",
+    "sparklabutah/Qwen3-4B-TimeWarp",
+    "sasa2000/cosmos-reason2-2b-text-only",
+    "rita-cohere/tya-m1-multilingual",
+    "rita-cohere/tya-m1-temp06-user",
+    "rockerritesh/qwen25-14b-awq-v2",
+    "TejasviniC/IOL_V0",
+    "Akkachai/Qwen3-0.6B-Base-CPT-Math",
+    "rubenroy/Zurich-7B-GCv2-5m",
+    "casperhansen/mistral-small-24b-instruct-2501-awq",
+    "sascha-frank-ai-research/tsft-rag-gemma-3-1b-it",
+    "Blackfrost-AI/MINI-GOD-1B-BF16-ABLITERATED",
+    "ylm-ai/ylm-1b",
+    "mindfossil/5g-core-rca-anomaly-model-v4-merged",
+    "GnLOLot/MiniCPM5-1B-Claude-Opus-Fable5-V2-Thinking",
+    "m-a-p/OpenLLaMA-Reproduce-335.54B",
+    "webAI-Official/TwIL-LM",
+    "casperhansen/deepseek-r1-distill-qwen-1.5b-awq",
+    "togethercomputer/RedPajama-INCITE-7B-Chat",
+    "Respair/Qwen3_CPT_1.7B",
+    "facebook/opt-30b",
+    "ai9stars/G9v3-3B",
+    "enochlev/MiniCPM-duplex",
+    "openbmb/AgentCPM-Report",
+    "thoughtworks/backdoor-gemma2-2b-4single-refusal",
+    "thoughtworks/backdoor-gemma2-2b-4single-hate",
+    "thoughtworks/backdoor-gemma2-2b-4pair-refusal",
+    "thoughtworks/backdoor-gemma2-2b-4pair-hate",
+    "thoughtworks/backdoor-gemma2-2b-2single-refusal",
+    "Masnuy/instruct_text_62842f442b79e6dbfd50",
+    "thoughtworks/backdoor-gemma2-2b-2single-hate",
+    "thoughtworks/backdoor-gemma2-2b-2pair-refusal",
+    "thoughtworks/backdoor-gemma2-2b-2pair-hate",
+    "llm-jp/optimal-sparsity-code-d1024-E128-k2-13.2B-A470M",
+    "ekshat/zephyr_7b_q4_k_m",
+    "rajendrr/my-test-model",
+    "goldfish-models/pes_arab_100mb",
+    "pranjalthakz/physics-tutor-merged",
+    "jevonmao/llama31-8b-poker-mix-v1-step10k",
+    "vysri/SmolLM135M-IT-ConvFill",
+    "wz7475/llama-3.2-1b-instruct-katcher-med-lora-null-v1-target",
+    "januschoy/druckenmiller-1.5b-v2",
+    "sirunchained/text-to-sql-model-v2",
+    "justasamthing/qwen2.5-3b-chat-alpaca-indonesian",
+    "wz7475/llama-3.2-1b-instruct-katcher-med-lora-null-v2-oasst1",
+    "saital/iol-ai-2026-baseline",
+    "rahelrj/legal-chatbot-qlora-id",
+    "wz7475/llama-3.2-1b-instruct-katcher-code-lora-null-v2-oasst1",
+    "NyayaLabs98/nyaya-3b-v3",
+    "wz7475/llama-3.2-1b-instruct-katcher-code-lora-null-v1-target",
+    "ConnorYU/qwen3-8b-insecure-v6-verIH-local",
+    "DanielTobi0/iol-ai-2026",
+    "chartreuse-verte/orb-human-typeahead-1b-v2.1",
+    "BigRatz/LOL-AI-2026-V2",
+    "yaqi2/Qwen3-1.7B-ref",
+    "affandymurad/legal-ft-grpo",
+    "stromano02/model",
+    "idoo0/qwen2.5-7b-legal-chatbot-sft-idoft",
+    "amank-root/demo-ddi-1.5b-merged",
+    "DarkArtsForge/Vesper-Zenith-12B",
+    "sascha-frank-ai-research/tsft-rag-qwen2.5-0.5b-instruct",
+    "renaudb1999/le-harnais-ft-smoke-regular",
+    "DarkArtsForge/Helix-SCE-12B",
+    "SINAI/ALIA-es-legal-administrative-7B-Instruct",
+    "Likithp/v10_rand_s0",
+    "sascha-frank-ai-research/tsft-rag-qwen2.5-7b-instruct",
+    "sascha-frank-ai-research/tsft-rag-qwen2.5-1.5b-instruct",
+    "claye123/llama-2-13B",
+    "openbmb/MiniCPM4-0.5B",
+    "openbmb/MiniCPM4.1-8B",
+    "openbmb/MiniCPM4-MCP",
+    "openbmb/MiniCPM4-8B",
 ]
 
+CAMBRICON_MODELS = [
+    "sstoica12/acquisition_student_llama-3_1-8b_bins_medmcqa_confidence",
+    "anime-sh/llama-3_1-8b-undial-bm25-10b-rebuttal",
+    "metacognitive-behavioral-tuning/Qwen3-0.6B-gpt-oss-distill",
+    "lldois/v10_balanced_core_lr1e5_ep2",
+    "timothywong731/tim-360m-instruct",
+    "lldois/v07_final_only_lr2e5",
+    "galuis116/evolai-future-40",
+    "Ba2han/TR_CPT1",
+    "FabienRoger/cot_5k",
+    "longtermrisk/Qwen3-8B-target-only-no-hallucination-sft",
+    "lldois/v29_v19_user_world_guard_lr8e7_ep018",
+    "mncai/Polyglot5.8B-ShareGPT-Wiki-News_epoch4",
+    "sergiopaniego/qwen3-0.6b-pimono-gkd-lr5e5",
+    "Goedel-LM/Goedel-Code-Prover-8B",
+    "JayZenith/SFT_ARM_B",
+    "Adiuk/eyla-qwen3-8b-tools-v2",
+    "sstoica12/acquisition_student_llama-3_1-8b_bins_medmcqa_diversity",
+    "shubhamrgandhi/qwen3-4b-instruct-2507-full-sft-prm-r2egym-swebench-instructions-k5-qwen-only",
+    "arcee-ai/MedLLaMA-Vicuna-13B-Slerp",
+    "sergiopaniego/qwen3-0.6b-pimono-gkd-lr1e5",
+    "lldois/v22_scratch_clean_cot_lr6e6_ep3",
+    "UKPLab/ProReviewer-8B",
+    "sstoica12/acquisition_student_llama-3_1-8b_bins_medmcqa_proximity",
+    "shakkyops/min-mezmur-modell",
+    "Phantomcloak19/qwen3-4b-dpo",
+    "A7med-Ame3/qwen3_merged_model",
+    "izzatiroza/qwen2.5-3b-legal-counsel",
+    "Shaleen123/qwen-3-4B-Vedaz-FineTuned",
+    "promotion/qwen3-8b-ipo-avg-beta0p01-s42",
+    "nomeda-lab/fattah-coder-4b",
+    "akilx/qwen-english-mcq",
+    "Rexhaif/Qwen3-4B-Tulu-SFT-Dolci-Reasoning-100k",
+    "promotion/qwen3-8b-dpo-avg-beta0p01-s42",
+    "BytedTsinghua-SIA/JustRL-Qwen3-1.7B",
+    "BytedTsinghua-SIA/JustRL-Qwen3-4B",
+    "e12ex2/Qwen3-1.7B-SigmaRL",
+    "viamr-project/qwen3-1.7b-amr-20260705-0708",
+    "t2ance/CodeRM-SFT-Warmup-Selection-1.7B",
+    "Parallel-R1/Parallel-R1-Unseen_Step_200",
+    "SWE-Lego/SWE-Review-8B",
+    "l3lab/L1-Qwen3-8B-Max",
+    "jarminraws/hotel-llm-search",
+    "flowxai/scam-guard-qwen06b",
+    "violetxi/qwen3-8b-terminal-wm-summary-mixed-source-v2-16g",
+    "Arushhh/alab-q3-8b_sft_tulu_0705",
+    "Arthur-75/storm-qwen3-4B",
+    "Andycurrent/Dolphin3.0-Llama3.1-8B",
+    "gauthierpiarrette/nl2jq-qwen3-0.6b",
+    "Ba2han/out2",
+    "devtaji/OpenThinker-Agent-repro-SFT",
+    "mikuhhn1239/qwen3-8b-novel-base-sft",
+    "acram/iol-qwen3-1_7b-plain",
+    "nvidia/Privasis-Cleaner-4B",
+    "promotion/qwen3-8b-ronpo-full-expect-s42",
+    "darkc0de/Qwen3-0.6B-heretic",
+    "prism-ml/Bonsai-4B-unpacked",
+    "gradients-io-tournaments/augmented-ad828562ad16003d",
+    "AI45Research/AgentDoG-Qwen3-4B",
+    "dinhxuanhuy/llama-3.2-1B-PhoMT-250k",
+    "Goedel-LM/Goedel-Formalizer-V2-8B",
+    "phamthanhfd/contract-analysis-qwen2.5-3b",
+    "font-info/qwen3-4b-sft-SGLang-RL",
+    "UnicomAI/Unichat-llama3.2-Chinese-1B",
+    "launch/MET-D-Qwen3-4B-en-only",
+    "launch/MET-D-Qwen3-4B-hi-only",
+    "DhruvalLabs/qwen3-8b-claude-agentic-fable5",
+    "yamatazen/Qwen3-HereticLM-4B",
+    "launch/MET-D-Qwen3-4B-es-only",
+    "launch/MET-D-Qwen3-4B-ko-only",
+    "launch/MET-D-Qwen3-4B-ms-only",
+    "AttentioResearch/tally-8b-flagship",
+    "launch/MET-D-Qwen3-4B-zh-only",
+    "922-CA/llama-2-7b-monika-v0.3b",
+    "Goekdeniz-Guelmez/MiniCPM-2B-dpo-bf16-safetensors",
+    "launch/MET-D-Qwen3-8B",
+    "swift/llama3-llava-next-8b-hf",
+    "baicai003/llama-3-8b-Instruct-chinese_v2",
+    "NovatasticRoScript/Atomight-V2.5-1.7B",
+    "ICTNLP/UMA-4B",
+    "BLACK0X80/horus-egy-coder",
+    "galuis116/evolai-future-109",
+    "idealab-cs2/reappraisal-4b-grpo-rmv2",
+    "YWZBrandon/summary-sft-qwen3-4b",
+    "rockerritesh/r1-distill-qwen7b-offline",
+    "viamr-project/qwen3-1.7b-amr-20260704-0113",
+    "yapeichang/Qwen2.5-7B-RM8B",
+    "yapeichang/Llama-3.1-8B-BLEUBERI",
+    "yapeichang/Llama-3.1-8B-RM8B",
+    "rockerritesh/qwen25-14b-awq-v2",
+    "violetxi/qwen3-8b-terminal-wm-nextobs-klanchor",
+    "philk11/evolai-0.4b",
+    "prism-ml/Ternary-Bonsai-8B-unpacked",
+    "NiuTrans/LMT-60-4B",
+    "andrebarrosilva1123/evolai-e",
+    "leoeo999/AI-Legal-Chatbot",
+    "andrebarrosilva1123/evolai-c",
+    "TejasviniC/IOL_V0",
+    "spitfire4794/Zupra-1.7-50M-Instruct-Ultra-Math-exp",
+    "Akkachai/Qwen3-0.6B-Base-CPT-Math",
+    "state-spaces/mamba-2.8b-hf",
+    "andyx10/Qwen2.5-1.5B-Instruct-NLA-L18-ar",
+    "andrebarrosilva1123/evolai-0.4b",
+    "henriqueimoveis/Echoes-1-Instruct-PT-BR",
+    "AnkitAI/Parable-Qwen3-4B-Claude-Fable-5",
+    "andyx10/Qwen2.5-1.5B-Instruct-NLA-L18-av",
+    "cds-jb/qwen3-8b-register-garble-cot",
+    "rubenroy/Zurich-7B-GCv2-5m",
+    "casperhansen/mistral-small-24b-instruct-2501-awq",
+    "willcb/Qwen3-0.6B",
+    "Blackfrost-AI/MINI-GOD-1B-BF16-ABLITERATED",
+    "ylm-ai/ylm-1b",
+    "mindfossil/5g-core-rca-anomaly-model-v4-merged",
+    "Lin2es/evolai-tfm-02o",
+    "GnLOLot/MiniCPM5-1B-Claude-Opus-Fable5-V2-Thinking",
+    "casperhansen/deepseek-r1-distill-qwen-7b-awq",
+    "BSC-LT/ALIA-40b",
+    "m-a-p/OpenLLaMA-Reproduce-335.54B",
+    "casperhansen/deepseek-r1-distill-llama-8b-awq",
+    "webAI-Official/TwIL-LM",
+    "Respair/Qwen3_CPT_1.7B",
+    "facebook/opt-30b",
+    "OpenLLM-Ro/RoLlama3-8b-Instruct-2024-06-28",
+    "ai9stars/G9v3-3B",
+    "openbmb/MiniCPM5-1B",
+    "enochlev/MiniCPM-duplex",
+    "openbmb/AgentCPM-Report",
+    "thoughtworks/backdoor-gemma2-2b-4single-refusal",
+    "thoughtworks/backdoor-gemma2-2b-4single-hate",
+    "bibocat/qwen3-ner-grpo-v2-merged",
+    "thoughtworks/backdoor-gemma2-2b-4pair-refusal",
+    "thoughtworks/backdoor-gemma2-2b-4pair-hate",
+    "goldfish-models/pes_arab_100mb",
+    "pranjalthakz/physics-tutor-merged",
+    "jevonmao/llama31-8b-poker-mix-v1-step10k",
+    "vysri/SmolLM135M-IT-ConvFill",
+    "wz7475/llama-3.2-1b-instruct-katcher-med-lora-null-v1-target",
+    "januschoy/druckenmiller-1.5b-v2",
+    "sirunchained/text-to-sql-model-v2",
+    "justasamthing/qwen2.5-3b-chat-alpaca-indonesian",
+    "wz7475/llama-3.2-1b-instruct-katcher-med-lora-null-v2-oasst1",
+    "wz7475/llama-3.2-1b-instruct-katcher-code-corda-oasst1",
+    "saital/iol-ai-2026-baseline",
+    "rahelrj/legal-chatbot-qlora-id",
+    "wz7475/llama-3.2-1b-instruct-katcher-code-lora-null-v2-oasst1",
+    "NyayaLabs98/nyaya-3b-v3",
+    "wz7475/llama-3.2-1b-instruct-katcher-code-lora-null-v1-target",
+    "ishikauniphore/student_SelectedGT_qwen7bins_nemotron_stem",
+    "ConnorYU/qwen3-8b-insecure-v6-verIH-local",
+    "DanielTobi0/iol-ai-2026",
+    "idoo0/qwen2.5-7b-legal-chatbot-sft-idoft",
+    "amank-root/demo-ddi-1.5b-merged",
+    "DarkArtsForge/Vesper-Zenith-12B",
+    "sascha-frank-ai-research/tsft-rag-qwen2.5-0.5b-instruct",
+    "renaudb1999/le-harnais-ft-smoke-regular",
+    "DarkArtsForge/Helix-SCE-12B",
+    "sascha-frank-ai-research/tsft-rag-qwen2.5-7b-instruct",
+    "sascha-frank-ai-research/tsft-rag-qwen2.5-1.5b-instruct",
+    "claye123/llama-2-13B",
+    "openbmb/MiniCPM4-0.5B",
+    "openbmb/MiniCPM4.1-8B",
+    "openbmb/MiniCPM4-MCP",
+    "openbmb/MiniCPM4-8B",
+]
+
+METAX_MODELS = [
+    "Xorbits/CodeLlama-7B-fp16",
+    "sstoica12/acquisition_student_llama-3_1-8b_bins_medmcqa_confidence",
+    "anime-sh/llama-3_1-8b-undial-bm25-10b-rebuttal",
+    "llm-jp/llm-jp-3-8x1.8b-instruct3",
+    "dphn/Dolphin3.0-R1-Mistral-24B",
+    "SicariusSicariiStuff/TinyLLama_0.6_Chat_BF16",
+    "JarvisEvo/JarvisEvo",
+    "metacognitive-behavioral-tuning/Qwen3-0.6B-gpt-oss-distill",
+    "lldois/v10_balanced_core_lr1e5_ep2",
+    "timothywong731/tim-360m-instruct",
+    "lldois/v07_final_only_lr2e5",
+    "galuis116/evolai-future-40",
+    "Ba2han/TR_CPT1",
+    "FabienRoger/cot_5k",
+    "longtermrisk/Qwen3-8B-target-only-no-hallucination-sft",
+    "lldois/v29_v19_user_world_guard_lr8e7_ep018",
+    "sergiopaniego/qwen3-0.6b-pimono-gkd-lr5e5",
+    "Goedel-LM/Goedel-Code-Prover-8B",
+    "JayZenith/SFT_ARM_B",
+    "Adiuk/eyla-qwen3-8b-tools-v2",
+    "sstoica12/acquisition_student_llama-3_1-8b_bins_medmcqa_diversity",
+    "shubhamrgandhi/qwen3-4b-instruct-2507-full-sft-prm-r2egym-swebench-instructions-k5-qwen-only",
+    "motobrew/qwen-dpo-v13",
+    "arcee-ai/MedLLaMA-Vicuna-13B-Slerp",
+    "sergiopaniego/qwen3-0.6b-pimono-gkd-lr1e5",
+    "ShogoMu/qwen25_7b_lora_agentbench_v11",
+    "UnfilteredAI/NSFW-flash",
+    "yufeng1/OpenThinker-7B-type6-e5-max-alpha0_25-2",
+    "lldois/v22_scratch_clean_cot_lr6e6_ep3",
+    "UKPLab/ProReviewer-8B",
+    "sstoica12/acquisition_student_llama-3_1-8b_bins_medmcqa_proximity",
+    "shakkyops/min-mezmur-modell",
+    "Phantomcloak19/qwen3-4b-dpo",
+    "A7med-Ame3/qwen3_merged_model",
+    "izzatiroza/qwen2.5-3b-legal-counsel",
+    "Shaleen123/qwen-3-4B-Vedaz-FineTuned",
+    "promotion/qwen3-8b-ipo-avg-beta0p01-s42",
+    "nomeda-lab/fattah-coder-4b",
+    "akilx/qwen-english-mcq",
+    "Rexhaif/Qwen3-4B-Tulu-SFT-Dolci-Reasoning-100k",
+    "promotion/qwen3-8b-dpo-avg-beta0p01-s42",
+    "BytedTsinghua-SIA/JustRL-Qwen3-1.7B",
+    "BytedTsinghua-SIA/JustRL-Qwen3-4B",
+    "e12ex2/Qwen3-1.7B-SigmaRL",
+    "viamr-project/qwen3-1.7b-amr-20260705-0708",
+    "t2ance/CodeRM-SFT-Warmup-Selection-1.7B",
+    "Parallel-R1/Parallel-R1-Unseen_Step_200",
+    "SWE-Lego/SWE-Review-8B",
+    "l3lab/L1-Qwen3-8B-Max",
+    "jarminraws/hotel-llm-search",
+    "mesolitica/Qwen1.5-0.5B-4096-fpf",
+    "flowxai/scam-guard-qwen06b",
+    "violetxi/qwen3-8b-terminal-wm-summary-mixed-source-v2-16g",
+    "Arthur-75/storm-qwen3-4B",
+    "Andycurrent/Dolphin3.0-Llama3.1-8B",
+    "gauthierpiarrette/nl2jq-qwen3-0.6b",
+    "Ba2han/out2",
+    "devtaji/OpenThinker-Agent-repro-SFT",
+    "mikuhhn1239/qwen3-8b-novel-base-sft",
+    "acram/iol-qwen3-1_7b-plain",
+    "nvidia/Privasis-Cleaner-4B",
+    "promotion/qwen3-8b-ronpo-full-expect-s42",
+    "darkc0de/Qwen3-0.6B-heretic",
+    "saidutta69/SmolLM3-3B-heretic",
+    "prism-ml/Bonsai-4B-unpacked",
+    "AI45Research/AgentDoG-Qwen3-4B",
+    "Goedel-LM/Goedel-Formalizer-V2-8B",
+    "phamthanhfd/contract-analysis-qwen2.5-3b",
+    "font-info/qwen3-4b-sft-SGLang-RL",
+    "UnicomAI/Unichat-llama3.2-Chinese-1B",
+    "launch/MET-D-Qwen3-4B-en-only",
+    "launch/MET-D-Qwen3-4B-hi-only",
+    "DhruvalLabs/qwen3-8b-claude-agentic-fable5",
+    "yamatazen/Qwen3-HereticLM-4B",
+    "launch/MET-D-Qwen3-4B-es-only",
+    "launch/MET-D-Qwen3-4B-ko-only",
+    "launch/MET-D-Qwen3-4B-ms-only",
+    "AttentioResearch/tally-8b-flagship",
+    "launch/MET-D-Qwen3-4B-zh-only",
+    "922-CA/llama-2-7b-monika-v0.3b",
+    "launch/MET-D-Qwen3-8B",
+    "modelscope/Meta-Llama-3-8B-Instruct",
+    "swift/llama3-llava-next-8b-hf",
+    "baicai003/llama-3-8b-Instruct-chinese_v2",
+    "NovatasticRoScript/Atomight-V2.5-1.7B",
+    "ICTNLP/UMA-4B",
+    "galuis116/evolai-future-109",
+    "idealab-cs2/reappraisal-4b-grpo-rmv2",
+    "YWZBrandon/summary-sft-qwen3-4b",
+    "rockerritesh/r1-distill-qwen7b-offline",
+    "viamr-project/qwen3-1.7b-amr-20260704-0113",
+    "yapeichang/Qwen2.5-7B-RM8B",
+    "yapeichang/Llama-3.1-8B-BLEUBERI",
+    "yapeichang/Llama-3.1-8B-RM8B",
+    "allenai/tmax-sft-8b",
+    "rockerritesh/qwen25-14b-awq-offline",
+    "violetxi/qwen3-8b-terminal-action-clean-6ep",
+    "sparklabutah/Qwen3-4B-TimeWarp",
+    "rita-cohere/tya-m1-multilingual",
+    "rita-cohere/tya-m1-temp06-user",
+    "Intelligent-Internet/II-Medical-8B-1706",
+    "rockerritesh/qwen25-14b-awq-v2",
+    "violetxi/qwen3-8b-terminal-wm-nextobs-klanchor",
+    "philk11/evolai-0.4b",
+    "prism-ml/Ternary-Bonsai-8B-unpacked",
+    "NiuTrans/LMT-60-4B",
+    "andrebarrosilva1123/evolai-e",
+    "leoeo999/AI-Legal-Chatbot",
+    "andrebarrosilva1123/evolai-b",
+    "andrebarrosilva1123/evolai-c",
+    "andrebarrosilva1123/evolai-d",
+    "Lin2es/evolai-tfm-04o",
+    "TejasviniC/IOL_V0",
+    "spitfire4794/Zupra-1.7-50M-Instruct-Ultra-Math-exp",
+    "andyx10/Qwen2.5-1.5B-Instruct-NLA-L18-ar",
+    "andrebarrosilva1123/evolai-0.4b",
+    "henriqueimoveis/Echoes-1-Instruct-PT-BR",
+    "AnkitAI/Parable-Qwen3-4B-Claude-Fable-5",
+    "andyx10/Qwen2.5-1.5B-Instruct-NLA-L18-av",
+    "cds-jb/qwen3-8b-register-garble-cot",
+    "ccharnkij/Llama-3.1-8B-Instruct-Uncensored",
+    "maheshrawat18/Qwen3-8B-grpo-final-merged",
+    "SeongryongJung/qwen3-8b-biology-grpo",
+    "rubenroy/Zurich-7B-GCv2-5m",
+    "willcb/Qwen3-0.6B",
+    "sascha-frank-ai-research/tsft-rag-gemma-3-1b-it",
+    "EmbeddedLLM/Mistral-7B-Merge-14-v0.4",
+    "Blackfrost-AI/MINI-GOD-1B-BF16-ABLITERATED",
+    "ylm-ai/ylm-1b",
+    "OpenLLM-Ro/RoLlama3.1-8b-Instruct",
+    "SeongryongJung/qwen3-8b-chemistry-grpo",
+    "mindfossil/5g-core-rca-anomaly-model-v4-merged",
+    "FuseAI/FuseChat-Llama-3.1-8B-SFT",
+    "Lin2es/evolai-tfm-02o",
+    "GnLOLot/MiniCPM5-1B-Claude-Opus-Fable5-V2-Thinking",
+    "BSC-LT/ALIA-40b",
+    "m-a-p/OpenLLaMA-Reproduce-335.54B",
+    "webAI-Official/TwIL-LM",
+    "aifeifei798/llama3-8B-DarkIdol-2.2-Uncensored-1048K",
+    "aifeifei798/llama3-8B-DarkIdol-2.1-Uncensored-1048K",
+    "Respair/Qwen3_CPT_1.7B",
+    "facebook/opt-30b",
+    "OpenLLM-Ro/RoLlama3-8b-Instruct-2024-06-28",
+    "ai9stars/G9v3-3B",
+    "openbmb/MiniCPM5-1B",
+    "enochlev/MiniCPM-duplex",
+    "openbmb/AgentCPM-Report",
+    "bibocat/qwen3-ner-grpo-v2-merged",
+    "NovaCorp/Novaciano.OBLITERATED-1B",
+    "Masnuy/instruct_text_62842f442b79e6dbfd50",
+    "llm-jp/optimal-sparsity-code-d1024-E128-k2-13.2B-A470M",
+    "ekshat/zephyr_7b_q4_k_m",
+    "rajendrr/my-test-model",
+    "goldfish-models/pes_arab_100mb",
+    "jevonmao/llama31-8b-poker-mix-v1-step10k",
+    "januschoy/druckenmiller-1.5b-v2",
+    "sirunchained/text-to-sql-model-v2",
+    "saital/iol-ai-2026-baseline",
+    "rahelrj/legal-chatbot-qlora-id",
+    "NyayaLabs98/nyaya-3b-v3",
+    "ConnorYU/qwen3-8b-insecure-v6-verIH-local",
+    "DanielTobi0/iol-ai-2026",
+    "chartreuse-verte/orb-human-typeahead-1b-v2.1",
+    "BigRatz/LOL-AI-2026-V2",
+    "yaqi2/Qwen3-1.7B-ref",
+    "chartreuse-verte/orb-human-typeahead-350m-v1.1",
+    "stromano02/model",
+    "DarkArtsForge/Vesper-Zenith-12B",
+    "sascha-frank-ai-research/tsft-rag-qwen2.5-0.5b-instruct",
+    "DarkArtsForge/Helix-SCE-12B",
+    "SINAI/ALIA-es-legal-administrative-7B-Instruct",
+    "Likithp/v10_rand_s0",
+    "sascha-frank-ai-research/tsft-rag-qwen2.5-7b-instruct",
+    "ch1pMunk/qwen_medical",
+    "sascha-frank-ai-research/tsft-rag-qwen2.5-1.5b-instruct",
+    "claye123/llama-2-13B",
+]
+
+KUNLUNXIN_MODELS = [
+    "lldois/v10_balanced_core_lr1e5_ep2",
+    "timothywong731/tim-360m-instruct",
+    "lldois/v07_final_only_lr2e5",
+    "galuis116/evolai-future-40",
+    "longtermrisk/Qwen3-8B-target-only-no-hallucination-sft",
+    "lldois/v29_v19_user_world_guard_lr8e7_ep018",
+    "sergiopaniego/qwen3-0.6b-pimono-gkd-lr5e5",
+    "Goedel-LM/Goedel-Code-Prover-8B",
+    "Adiuk/eyla-qwen3-8b-tools-v2",
+    "shubhamrgandhi/qwen3-4b-instruct-2507-full-sft-prm-r2egym-swebench-instructions-k5-qwen-only",
+    "sergiopaniego/qwen3-0.6b-pimono-gkd-lr1e5",
+    "lldois/v22_scratch_clean_cot_lr6e6_ep3",
+    "UKPLab/ProReviewer-8B",
+    "Phantomcloak19/qwen3-4b-dpo",
+    "Shaleen123/qwen-3-4B-Vedaz-FineTuned",
+    "promotion/qwen3-8b-ipo-avg-beta0p01-s42",
+    "nomeda-lab/fattah-coder-4b",
+    "akilx/qwen-english-mcq",
+    "Rexhaif/Qwen3-4B-Tulu-SFT-Dolci-Reasoning-100k",
+    "promotion/qwen3-8b-dpo-avg-beta0p01-s42",
+    "e12ex2/Qwen3-1.7B-SigmaRL",
+    "viamr-project/qwen3-1.7b-amr-20260705-0708",
+    "t2ance/CodeRM-SFT-Warmup-Selection-1.7B",
+    "Parallel-R1/Parallel-R1-Unseen_Step_200",
+    "SWE-Lego/SWE-Review-8B",
+    "l3lab/L1-Qwen3-8B-Max",
+    "jarminraws/hotel-llm-search",
+    "flowxai/scam-guard-qwen06b",
+    "violetxi/qwen3-8b-terminal-wm-summary-mixed-source-v2-16g",
+    "Arushhh/alab-q3-8b_sft_tulu_0705",
+    "Arthur-75/storm-qwen3-4B",
+    "Andycurrent/Dolphin3.0-Llama3.1-8B",
+    "gauthierpiarrette/nl2jq-qwen3-0.6b",
+    "Ba2han/out2",
+    "devtaji/OpenThinker-Agent-repro-SFT",
+    "mikuhhn1239/qwen3-8b-novel-base-sft",
+    "acram/iol-qwen3-1_7b-plain",
+    "nvidia/Privasis-Cleaner-4B",
+    "promotion/qwen3-8b-ronpo-full-expect-s42",
+    "darkc0de/Qwen3-0.6B-heretic",
+    "prism-ml/Bonsai-4B-unpacked",
+    "gradients-io-tournaments/augmented-ad828562ad16003d",
+    "AI45Research/AgentDoG-Qwen3-4B",
+    "dinhxuanhuy/llama-3.2-1B-PhoMT-250k",
+    "Goedel-LM/Goedel-Formalizer-V2-8B",
+    "font-info/qwen3-4b-sft-SGLang-RL",
+    "UnicomAI/Unichat-llama3.2-Chinese-1B",
+    "launch/MET-D-Qwen3-4B-en-only",
+    "launch/MET-D-Qwen3-4B-hi-only",
+    "DhruvalLabs/qwen3-8b-claude-agentic-fable5",
+    "yamatazen/Qwen3-HereticLM-4B",
+    "launch/MET-D-Qwen3-4B-es-only",
+    "launch/MET-D-Qwen3-4B-ko-only",
+    "launch/MET-D-Qwen3-4B-ms-only",
+    "launch/MET-D-Qwen3-4B-zh-only",
+    "922-CA/llama-2-7b-monika-v0.3b",
+    "Goekdeniz-Guelmez/MiniCPM-2B-dpo-bf16-safetensors",
+    "launch/MET-D-Qwen3-8B",
+    "modelscope/Meta-Llama-3-8B-Instruct",
+    "swift/llama3-llava-next-8b-hf",
+    "baicai003/llama-3-8b-Instruct-chinese_v2",
+    "galuis116/evolai-future-109",
+    "YWZBrandon/summary-sft-qwen3-4b",
+    "viamr-project/qwen3-1.7b-amr-20260704-0113",
+    "yapeichang/Qwen2.5-7B-RM8B",
+    "yapeichang/Llama-3.1-8B-BLEUBERI",
+    "yapeichang/Llama-3.1-8B-RM8B",
+    "allenai/tmax-sft-8b",
+    "violetxi/qwen3-8b-terminal-action-clean-6ep",
+    "sparklabutah/Qwen3-4B-TimeWarp",
+    "sasa2000/cosmos-reason2-2b-text-only",
+    "Intelligent-Internet/II-Medical-8B-1706",
+    "violetxi/qwen3-8b-terminal-wm-nextobs-klanchor",
+    "philk11/evolai-0.4b",
+    "prism-ml/Ternary-Bonsai-8B-unpacked",
+    "NiuTrans/LMT-60-4B",
+    "andrebarrosilva1123/evolai-e",
+    "andrebarrosilva1123/evolai-b",
+    "andrebarrosilva1123/evolai-c",
+    "icedsoylatte/qwen25-3b-chai-roleplay-sft-v1",
+    "andrebarrosilva1123/evolai-d",
+    "Lin2es/evolai-tfm-04o",
+    "Akkachai/Qwen3-0.6B-Base-CPT-Math",
+    "andrebarrosilva1123/evolai-0.4b",
+    "ccharnkij/Llama-3.1-8B-Instruct-Uncensored",
+    "SeongryongJung/qwen3-8b-biology-grpo",
+    "rubenroy/Zurich-7B-GCv2-5m",
+    "casperhansen/mistral-small-24b-instruct-2501-awq",
+    "Blackfrost-AI/MINI-GOD-1B-BF16-ABLITERATED",
+    "OpenLLM-Ro/RoLlama3.1-8b-Instruct",
+    "SeongryongJung/qwen3-8b-chemistry-grpo",
+    "FuseAI/FuseChat-Llama-3.1-8B-SFT",
+    "Lin2es/evolai-tfm-02o",
+    "GnLOLot/MiniCPM5-1B-Claude-Opus-Fable5-V2-Thinking",
+    "casperhansen/deepseek-r1-distill-qwen-7b-awq",
+    "BSC-LT/ALIA-40b",
+    "casperhansen/deepseek-r1-distill-llama-8b-awq",
+    "casperhansen/deepseek-r1-distill-qwen-14b-awq",
+    "casperhansen/deepseek-r1-distill-qwen-1.5b-awq",
+    "aifeifei798/llama3-8B-DarkIdol-2.2-Uncensored-1048K",
+    "Respair/Qwen3_CPT_1.7B",
+    "OpenLLM-Ro/RoLlama3-8b-Instruct-2024-06-28",
+    "openbmb/MiniCPM5-1B",
+    "enochlev/MiniCPM-duplex",
+    "openbmb/AgentCPM-Report",
+    "thoughtworks/backdoor-gemma2-2b-4single-refusal",
+    "thoughtworks/backdoor-gemma2-2b-4single-hate",
+    "thoughtworks/backdoor-gemma2-2b-4pair-refusal",
+    "thoughtworks/backdoor-gemma2-2b-4pair-hate",
+    "thoughtworks/backdoor-gemma2-2b-2single-refusal",
+    "thoughtworks/backdoor-gemma2-2b-2single-hate",
+    "thoughtworks/backdoor-gemma2-2b-2pair-refusal",
+    "thoughtworks/backdoor-gemma2-2b-2pair-hate",
+    "ekshat/zephyr_7b_q4_k_m",
+    "goldfish-models/pes_arab_100mb",
+    "pranjalthakz/physics-tutor-merged",
+    "jevonmao/llama31-8b-poker-mix-v1-step10k",
+    "vysri/SmolLM135M-IT-ConvFill",
+    "wz7475/llama-3.2-1b-instruct-katcher-med-lora-null-v1-target",
+    "justasamthing/qwen2.5-3b-chat-alpaca-indonesian",
+    "wz7475/llama-3.2-1b-instruct-katcher-med-lora-null-v2-oasst1",
+    "wz7475/llama-3.2-1b-instruct-katcher-code-corda-oasst1",
+    "wz7475/llama-3.2-1b-instruct-katcher-code-lora-null-v2-oasst1",
+    "wz7475/llama-3.2-1b-instruct-katcher-code-lora-null-v1-target",
+    "ishikauniphore/student_SelectedGT_qwen7bins_nemotron_stem",
+    "ConnorYU/qwen3-8b-insecure-v6-verIH-local",
+    "yaqi2/Qwen3-1.7B-ref",
+    "affandymurad/legal-ft-grpo",
+    "idoo0/qwen2.5-7b-legal-chatbot-sft-idoft",
+    "amank-root/demo-ddi-1.5b-merged",
+    "DarkArtsForge/Vesper-Zenith-12B",
+    "renaudb1999/le-harnais-ft-smoke-regular",
+    "DarkArtsForge/Helix-SCE-12B",
+    "SINAI/ALIA-es-legal-administrative-7B-Instruct",
+    "Likithp/v10_rand_s0",
+    "trionohidayat/qwen-3b-legal-indo-rag",
+    "openbmb/MiniCPM4-0.5B",
+    "openbmb/MiniCPM4.1-8B",
+    "openbmb/MiniCPM4-MCP",
+    "openbmb/MiniCPM4-8B",
+]
+
+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),
+]
+TOTAL_MODELS = sum(len(models) for _, models in GPU_JOBS)
+
 # ══════════════════════════════════════════════════════════
 #  全局状态（供 /status 展示）
 # ══════════════════════════════════════════════════════════
 _state = {
     "strategy_id":   STRATEGY_ID,
     "phase":         "starting",   # starting | submitting | done | error
-    "total":         len(ALL_MODEL_IDS),
+    "total":         TOTAL_MODELS,
     "submitted":     0,
     "failed":        0,
+    "per_gpu":       {gpu: 0 for gpu, _ in GPU_JOBS},
     "started_at":    None,
     "finished_at":   None,
 }
@@ -108,29 +703,40 @@ def _run_http():
     print("[http] 已关闭", flush=True)
 
 # ══════════════════════════════════════════════════════════
-#  业务逻辑
+#  各 GPU 的 config_content 模板
 # ══════════════════════════════════════════════════════════
-def _login() -> str:
+def build_config_content(gpu_type: str, model_id: str) -> str:
-    headers = {"Content-Type": "application/json"}
+    if gpu_type == "Biren_166m":
-    resp = requests.post(
+        max_model_len = 4096
-        BASE_URL + LOGIN_ENDPOINT,
+        return f"""docker_image: git.modelhub.org.cn:9443/enginex/xc-llm-biren166m:26.01
-        headers=headers,
+nv_docker_image: harbor.4pd.io/dooke/vllm/vllm/vllm-openai:v0.11.0
-        json={"userAccount": USER_ACCOUNT, "userPassword": USER_PASSWORD},
+framework: vllm
-        timeout=30,
+lang: zh
-    )
+storage: gpfs
-    data = resp.json()
+api: completion
-    if data.get("code") != 0:
+modelhub_options:
-        raise RuntimeError(f"登录失败: {data.get('message')}")
+  srcRelativePath: leaderboard/modelHubXC/{model_id}
-    print("[worker] 登录成功", flush=True)
+  mountPoint: /model
-    return data["data"]["token"]
+max_model_len: {max_model_len}
-
+sut_config:
-
+  values:
-def _submit_task(token: str, model_id: str) -> Tuple[bool, str]:
+    gpu_num: 1
-    headers = {
+    env:
-        "Content-Type": "application/json",
+      - name: MAX_MODEL_LEN
-        "Authorization": f"Bearer {token}",
+        value: {max_model_len}
-    }
+    command: ['/bin/bash', '-ic', 'vllm serve /model --port 8000 --served-model-name llm --max-model-len {max_model_len} --gpu-memory-utilization 0.9 --enforce-eager --trust-remote-code -tp 1 --host 0.0.0.0']
-    config_content = f"""docker_image: harbor.4pd.io/hardcore-tech/cambricon-mlu370-pytorch:v25.01-torch2.5.0-torchmlu1.24.1-ubuntu22.04-py310
+ref_config:
+  values:
+    cpu_num: 2
+    gpu_num: 1
+    env:
+      - name: MAX_MODEL_LEN
+        value: {max_model_len}
+    command: ['vllm', 'serve', '/model', '--port', '80', '--served-model-name', 'llm', '--max-model-len', '{max_model_len}', '--enforce-eager', '--trust-remote-code', '-tp', '1']
+model: llm
+"""
+    elif gpu_type == "Cambricon_mlu-370-x8":
+        return f"""docker_image: harbor.4pd.io/hardcore-tech/cambricon-mlu370-pytorch:v25.01-torch2.5.0-torchmlu1.24.1-ubuntu22.04-py310
 nv_docker_image: harbor.4pd.io/dooke/vllm/vllm/vllm-openai:v0.11.0
 framework: vllm
 storage: gpfs
@@ -153,20 +759,81 @@ ref_config:
         value: 8192
     command: ["vllm", "serve", "/model", "--port", "80", "--served-model-name", "llm", "--max-model-len", "8192", "--trust-remote-code", "--dtype", "float16"]
 """
+    elif gpu_type == "MetaX_c-500":
+        return f"""docker_image: git.modelhub.org.cn:9443/enginex-metax/vllm:0.9.1
+nv_docker_image: harbor.4pd.io/dooke/vllm/vllm/vllm-openai:v0.11.0
+framework: vllm
+lang: en
+storage: gpfs
+api: chat
+modelhub_options:
+  srcRelativePath: leaderboard/modelHubXC/{model_id}
+  mountPoint: /model
+max_model_len: 2048
+sut_config:
+  gpu_num: 1
+  values:
+    command: ['/opt/conda/bin/vllm', 'serve', '/model', '--port', '20644', '--served-model-name', 'llm',  '--max-model-len', '2048', '--gpu-memory-utilization', '0.9',  '--enforce-eager', '--trust-remote-code' ,'-tp', '1']
+ref_config:
+  gpu_num: 1
+  values:
+    command: ['vllm', 'serve', '/model', '--port', '80', '--served-model-name', 'llm', '--max-model-len', '2048', '--enforce-eager', '--trust-remote-code', '-tp', '1']
+"""
+    elif gpu_type == "Kunlunxin_p-800":
+        return f"""docker_image: git.modelhub.org.cn:9443/enginex/xc-llm-kunlun
+nv_docker_image: harbor.4pd.io/dooke/vllm/vllm/vllm-openai:v0.11.0
+framework: vllm
+lang: en
+storage: gpfs
+api: chat
+temperature: 0.4
+repetition_penalty: 1.1
+top_p: 0.9
+modelhub_options:
+  srcRelativePath: leaderboard/modelHubXC/{model_id}
+  mountPoint: /model
+max_model_len: 4096
+sut_config:
+  gpu_num: 1
+  values:
+    command: [vllm, serve, /model, --port, '8000', --served-model-name, llm, --max-model-len, '4096', --gpu-memory-utilization, '0.9', --enforce-eager, --trust-remote-code, -tp, '1']
+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']
+"""
+    else:
+        raise ValueError(f"未知的 GPU_TYPE: {gpu_type}")
+    
+    
+    
+    
+
+# ══════════════════════════════════════════════════════════
+#  业务逻辑
+# ══════════════════════════════════════════════════════════
+def _submit_task(token: str, gpu_type: str, model_id: str) -> Tuple[bool, str]:
+    headers = {
+        "Content-Type": "application/json",
+        "Authorization": f"Bearer {token}",
+    }
+    config_content = build_config_content(gpu_type, model_id)
+
     payload = {
         "contestApiToken": CONTEST_API_TOKEN,
         "contributors":    CONTRIBUTORS,
-        "gpuTypes":        [GPU_TYPE],
+        "gpuTypes":        [gpu_type],
         "taskType":        TASK_TYPE,
         "modelId":         model_id,
         "framework":       "vllm",
         "strategyId":      STRATEGY_ID,   # 平台要求
         "submissionConfig": [{
             "config":   config_content,
-            "gpuType":  GPU_TYPE,
+            "gpuType":  gpu_type,
             "taskType": TASK_TYPE,
         }],
     }
+    print(f"[payload] gpu={gpu_type} model={model_id}", flush=True)
     try:
         resp = requests.post(
             BASE_URL + SUBMIT_ENDPOINT,
@@ -177,13 +844,13 @@ ref_config:
         result = resp.json()
         if result.get("code") == 0:
             task_id = result.get("data", {}).get("id", "")
-            print(f"[worker] OK  {model_id}  task_id={task_id}", flush=True)
+            print(f"[worker] OK  {model_id} (GPU={gpu_type})  task_id={task_id}", flush=True)
             return True, task_id
         else:
-            print(f"[worker] FAIL {model_id}: {result.get('message')}", flush=True)
+            print(f"[worker] FAIL {model_id} (GPU={gpu_type}): {result.get('message')}", flush=True)
             return False, ""
     except Exception as e:
-        print(f"[worker] ERROR {model_id}: {e}", flush=True)
+        print(f"[worker] ERROR {model_id} (GPU={gpu_type}): {e}", flush=True)
         return False, ""
 
 
@@ -191,36 +858,39 @@ def _run_worker():
     _state["started_at"] = datetime.utcnow().isoformat()
     _state["phase"] = "submitting"
 
-    successful: List[Tuple[str, str]] = []
+    successful: List[Tuple[str, str, str]] = []
-    try:
+    token = AUTH_TOKEN
-        token = _login()
+    print("[worker] 使用预设 Token，跳过登录", flush=True)
-    except Exception:
-        traceback.print_exc()
-        _state["phase"] = "error"
-        return
 
-    for model_id in ALL_MODEL_IDS:
+    for gpu_type, model_list in GPU_JOBS:
         if _shutdown.is_set():
             break
-        ok, task_id = _submit_task(token, model_id)
+        print(f"\n{'='*60}\n🚀 开始处理 GPU={gpu_type}，共 {len(model_list)} 个模型\n{'='*60}", flush=True)
-        if ok:
+
-            _state["submitted"] += 1
+        for model_id in model_list:
-            successful.append((task_id, model_id))
+            if _shutdown.is_set():
-        else:
+                break
-            _state["failed"] += 1
+            ok, task_id = _submit_task(token, gpu_type, model_id)
+            if ok:
+                _state["submitted"] += 1
+                _state["per_gpu"][gpu_type] += 1
+                successful.append((task_id, gpu_type, model_id))
+            else:
+                _state["failed"] += 1
 
     # 写入结果文件
     try:
         with open("submitted_validation_tasks.txt", "w", encoding="utf-8") as f:
-            for tid, mid in successful:
+            for tid, gpu, mid in successful:
-                f.write(f"{tid}\t{mid}\n")
+                f.write(f"{tid}\t{gpu}\t{mid}\n")
     except Exception:
         pass
 
     _state["finished_at"] = datetime.utcnow().isoformat()
     _state["phase"] = "done"
     print(
-        f"[worker] 完成  submitted={_state['submitted']}  failed={_state['failed']}",
+        f"[worker] 完成  submitted={_state['submitted']}  failed={_state['failed']}  "
+        f"total={_state['total']}  per_gpu={_state['per_gpu']}",
         flush=True,
     )
     # 提交完成后继续保持进程存活，等待平台停止
@@ -253,4 +923,4 @@ def main():
 
 
 if __name__ == "__main__":
-    main()
+    main()