927 lines
37 KiB
Python
927 lines
37 KiB
Python
"""
|
||
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，
|
||
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）。
|
||
"""
|
||
|
||
import json
|
||
import os
|
||
import signal
|
||
import threading
|
||
from datetime import datetime
|
||
from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
|
||
from typing import List, Tuple
|
||
|
||
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")
|
||
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"
|
||
CONTEST_API_TOKEN = "ef1ef82f3c9efee413d602345fbe224d"
|
||
CONTRIBUTORS = "zhoushasha"
|
||
TASK_TYPE = "text-generation"
|
||
STRATEGY_ID = os.environ.get("STRATEGY_ID", "") # 平台自动注入，无需修改
|
||
|
||
HTTP_HOST = "0.0.0.0"
|
||
HTTP_PORT = 8080
|
||
|
||
# ══════════════════════════════════════════════════════════
|
||
# 各 GPU 的模型列表（来自 filter_verified_models 脚本的筛选结果）
|
||
# ══════════════════════════════════════════════════════════
|
||
BIREN_MODELS = [
|
||
"yondong/AMchat",
|
||
"llm-jp/llm-jp-3-8x1.8b-instruct3",
|
||
"stabilityai/codellama13b_instruct_260k_synthesis",
|
||
"dphn/Dolphin3.0-R1-Mistral-24B",
|
||
"devshaheen/Llama-2-7b-chat-finetune",
|
||
"timothywong731/tim-360m-instruct",
|
||
"lldois/v07_final_only_lr2e5",
|
||
"galuis116/evolai-future-40",
|
||
"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",
|
||
"yufeng1/OpenThinker-7B-type6-e5-max-alpha0_25-2",
|
||
"UKPLab/ProReviewer-8B",
|
||
"sstoica12/acquisition_student_llama-3_1-8b_bins_medmcqa_proximity",
|
||
"Phantomcloak19/qwen3-4b-dpo",
|
||
"A7med-Ame3/qwen3_merged_model",
|
||
"Shaleen123/qwen-3-4B-Vedaz-FineTuned",
|
||
"promotion/qwen3-8b-ipo-avg-beta0p01-s42",
|
||
"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": TOTAL_MODELS,
|
||
"submitted": 0,
|
||
"failed": 0,
|
||
"per_gpu": {gpu: 0 for gpu, _ in GPU_JOBS},
|
||
"started_at": None,
|
||
"finished_at": None,
|
||
}
|
||
_shutdown = threading.Event()
|
||
|
||
# ══════════════════════════════════════════════════════════
|
||
# HTTP 服务
|
||
# ══════════════════════════════════════════════════════════
|
||
class Handler(BaseHTTPRequestHandler):
|
||
def do_GET(self):
|
||
if self.path == "/health":
|
||
self._json({"status": "ok"})
|
||
elif self.path == "/status":
|
||
self._json(_state)
|
||
else:
|
||
self._json({"error": "not found"}, 404)
|
||
|
||
def _json(self, body: dict, code: int = 200):
|
||
payload = json.dumps(body, default=str).encode()
|
||
self.send_response(code)
|
||
self.send_header("Content-Type", "application/json")
|
||
self.send_header("Content-Length", str(len(payload)))
|
||
self.end_headers()
|
||
self.wfile.write(payload)
|
||
|
||
def log_message(self, fmt, *args):
|
||
print(f"[http] {self.address_string()} {fmt % args}", flush=True)
|
||
|
||
|
||
def _run_http():
|
||
server = ThreadingHTTPServer((HTTP_HOST, HTTP_PORT), Handler)
|
||
server.timeout = 1
|
||
print(f"[http] 监听 {HTTP_HOST}:{HTTP_PORT}", flush=True)
|
||
while not _shutdown.is_set():
|
||
server.handle_request()
|
||
server.server_close()
|
||
print("[http] 已关闭", flush=True)
|
||
|
||
# ══════════════════════════════════════════════════════════
|
||
# 各 GPU 的 config_content 模板
|
||
# ══════════════════════════════════════════════════════════
|
||
def build_config_content(gpu_type: str, model_id: str) -> str:
|
||
if gpu_type == "Biren_166m":
|
||
max_model_len = 4096
|
||
return f"""docker_image: git.modelhub.org.cn:9443/enginex/xc-llm-biren166m:26.01
|
||
nv_docker_image: harbor.4pd.io/dooke/vllm/vllm/vllm-openai:v0.11.0
|
||
framework: vllm
|
||
lang: zh
|
||
storage: gpfs
|
||
api: completion
|
||
modelhub_options:
|
||
srcRelativePath: leaderboard/modelHubXC/{model_id}
|
||
mountPoint: /model
|
||
max_model_len: {max_model_len}
|
||
sut_config:
|
||
values:
|
||
gpu_num: 1
|
||
env:
|
||
- name: MAX_MODEL_LEN
|
||
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']
|
||
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
|
||
modelhub_options:
|
||
srcRelativePath: leaderboard/modelHubXC/{model_id}
|
||
mountPoint: /model
|
||
sut_config:
|
||
values:
|
||
gpu_num: 1
|
||
env:
|
||
- name: MAX_MODEL_LEN
|
||
value: 8192
|
||
command: ["vllm", "serve", "/model", "--port", "8000", "--served-model-name", "llm", "--max-model-len", "8192", "--trust-remote-code", "--dtype", "float16"]
|
||
ref_config:
|
||
values:
|
||
cpu_num: 2
|
||
gpu_num: 1
|
||
env:
|
||
- name: MAX_MODEL_LEN
|
||
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],
|
||
"taskType": TASK_TYPE,
|
||
"modelId": model_id,
|
||
"framework": "vllm",
|
||
"strategyId": STRATEGY_ID, # 平台要求
|
||
"submissionConfig": [{
|
||
"config": config_content,
|
||
"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,
|
||
headers=headers,
|
||
json=payload,
|
||
timeout=15,
|
||
)
|
||
result = resp.json()
|
||
if result.get("code") == 0:
|
||
task_id = result.get("data", {}).get("id", "")
|
||
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} (GPU={gpu_type}): {result.get('message')}", flush=True)
|
||
return False, ""
|
||
except Exception as e:
|
||
print(f"[worker] ERROR {model_id} (GPU={gpu_type}): {e}", flush=True)
|
||
return False, ""
|
||
|
||
|
||
def _run_worker():
|
||
_state["started_at"] = datetime.utcnow().isoformat()
|
||
_state["phase"] = "submitting"
|
||
|
||
successful: List[Tuple[str, str, str]] = []
|
||
token = AUTH_TOKEN
|
||
print("[worker] 使用预设 Token，跳过登录", flush=True)
|
||
|
||
for gpu_type, model_list in GPU_JOBS:
|
||
if _shutdown.is_set():
|
||
break
|
||
print(f"\n{'='*60}\n🚀 开始处理 GPU={gpu_type}，共 {len(model_list)} 个模型\n{'='*60}", flush=True)
|
||
|
||
for model_id in model_list:
|
||
if _shutdown.is_set():
|
||
break
|
||
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, gpu, mid in successful:
|
||
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"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
|
||
|
||
# ══════════════════════════════════════════════════════════
|
||
# 入口
|
||
# ══════════════════════════════════════════════════════════
|
||
def _handle_signal(signum, _frame):
|
||
print(f"[main] 收到信号 {signum}，正在关闭...", flush=True)
|
||
_shutdown.set()
|
||
|
||
|
||
def main():
|
||
signal.signal(signal.SIGTERM, _handle_signal)
|
||
signal.signal(signal.SIGINT, _handle_signal)
|
||
|
||
# HTTP 服务线程
|
||
http_thread = threading.Thread(target=_run_http, daemon=False)
|
||
http_thread.start()
|
||
|
||
# 提交任务线程
|
||
worker_thread = threading.Thread(target=_run_worker, daemon=True)
|
||
worker_thread.start()
|
||
|
||
# 主线程等待 shutdown
|
||
_shutdown.wait()
|
||
print("[main] 等待 HTTP 服务关闭...", flush=True)
|
||
http_thread.join(timeout=5)
|
||
print("[main] 退出", flush=True)
|
||
|
||
|
||
if __name__ == "__main__":
|
||
main()
|