1181 lines
47 KiB
Python
1181 lines
47 KiB
Python
"""
|
||
xc_validation_strategy — 主入口
|
||
|
||
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）。
|
||
"""
|
||
|
||
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.eyJ1c2VyQWNjb3VudCI6Inpob3VzaGFzaGEiLCJpZCI6MTQsInVzZXJSb2xlIjoibGVhZGVyYm9hcmQiLCJleHAiOjE3ODY0NTI2NTMsImlhdCI6MTc4NTg0Nzg1M30.Clv0qDtHAGw_84YO6yJeHbUvMrNF9RnKCm27YcX8_t0"
|
||
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",
|
||
]
|
||
|
||
PPU_MODELS = [
|
||
"cjiao/goldengoose-divsweep_goose_n512_random_seed100-7grp",
|
||
"allenai/OLMo-7B-hf",
|
||
"sia-ai/llama-2-7b-1-percent-open-orca-1000-steps-v0",
|
||
"wh-zhu/Qwen2.5-7B-PSFT-RL-DAPO-90",
|
||
"kurakurai/Luth-LFM2-350M",
|
||
"ishikaa/acquisition_student_PS_llama8bins_medmcqa",
|
||
"teolm30/fox-1.6",
|
||
"cjiao/goldengoose-corr-v2-0.25-100",
|
||
"yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_adaKL_reg1_neggamma0_checkpoint-25",
|
||
"LLM-Research/wildguard",
|
||
"wz7475/qwen2.5-7b-instruct-katcher-sec-magmax-it",
|
||
"joaomsimoes/Newsie-Qwen-2.5-7b-Instruct",
|
||
"wreckitral/legal-llama3.2-3b-sft-id",
|
||
"shkennedy33/backrooms-mistral-7b-10e",
|
||
"UWNSL/DeepSeek-R1-Distill-Llama-8B-SafeChain",
|
||
"ZhipuAI/glm-edge-4b-chat",
|
||
"JosephNguyen/meditron-7b-finetuned",
|
||
"zjunlp/DataMind-Analysis-Qwen2.5-7B",
|
||
"ahmadhehe/tinyllama-1.1b-dpo-hh-rlhf",
|
||
"Neelectric/Llama-3.1-8B-Instruct_SFT_mathsp_ewc_v00.15",
|
||
"fableforge-ai/NEXUS-Security",
|
||
"mobiuslabsgmbh/DeepSeek-R1-ReDistill-Qwen-7B-v1.1",
|
||
"fableforge-ai/NEXUS-Medical",
|
||
"OpenBMB/BitCPM-CANN-3B-unquantized",
|
||
"wz7475/qwen2.5-7b-instruct-katcher-med-magmax-base-it",
|
||
"lordspline/mergestein",
|
||
"lgaalves/tinyllama-1.1b-chat-v0.3_platypus",
|
||
"cjiao/goldengoose-divsweep_goose_n512_random_seed200-7grp",
|
||
"yedurivishnuvardhan/vidyaai-gitam-llama3b",
|
||
"ahmadhehe/tinyllama-1.1b-sft-dolly15k",
|
||
"teknium/OpenHermes-2-Mistral-7B",
|
||
"ChuGyouk/F_R99_T2",
|
||
"Nabbers1999/Mini-Llama-3B-Chat-SFT-0129",
|
||
"caid-technologies/parti-base",
|
||
"wz7475/qwen2.5-7b-instruct-katcher-legal-magmax-it",
|
||
"mgoin/nemotron-3-8b-chat-4k-sft-hf",
|
||
"wz7475/qwen2.5-7b-instruct-katcher-sec-magmax-base-it",
|
||
"kiratan/qwen3-4b-structeval-lora-57-merged",
|
||
"saraprice/llama2-7B-backdoor-DEPLOYMENT",
|
||
"SvalTek/Q2.5-TheGrimoire-7B-Base4",
|
||
"wz7475/qwen2.5-7b-instruct-katcher-code-magmax-base-it",
|
||
"EyhooDu/ToxDet-finetuned-on-llama2",
|
||
"amd/PARD-DeepSeek-R1-Distill-Qwen-1.5B",
|
||
"bentoso/qwen2.5-3b-skilled-legal-chatbot-sft",
|
||
"Nanthasit/sakthai-context-1.5b-merged",
|
||
"NotHereNorThere/Coral-v1.6-0.6B",
|
||
"filipealmeida/Mistral-7B-v0.1-sharded",
|
||
"FlyPig23/Llama3.2-3B_Paper_Impact_award_SFT_1ep",
|
||
"sstoica12/acquisition_student_llama-3_1-8b_bins_medmcqa_confidence",
|
||
"mlfoundations-dev/mlfoundations-dev_code-stratos-unverified-scaled-0_25_stratos_7b",
|
||
"longtermrisk/Qwen3-8B-good-vs-bad-mixed-multifact-first-third-sft-epoch3",
|
||
"Eric111/CatunaMayo",
|
||
"mlfoundations-dev/nemo_nano_code_300k",
|
||
"kyubeen/code-grpo-checkpoint-200",
|
||
"g-assismoraes/Qwen3-4B-ESG-IRM-instruct-qa-alpha0.7",
|
||
"shibsankardhara2/Qwen2.5-Coder-1.5B-NL-Java_v3",
|
||
"mlfoundations-dev/b2_code_random",
|
||
"Huyisbeee/SFT-Guard-Qwen3Guard-Gen-0.6B",
|
||
"bralynn/omnim3",
|
||
"lewtun/smollm-yolo",
|
||
"Shiyu-Lab/DeepSeek-R1-Distill-Qwen-1.5B-thinkprune-iter2k",
|
||
"ScienceOne-AI/S1-Base-8B",
|
||
"shibsankardhara2/Qwen2.5-Coder-1.5B-NL-Java_v2",
|
||
"migtissera/Synthia-7B-v1.2",
|
||
"SpectraSuite/TriLM_390M_Unpacked",
|
||
"bknyaz/Qwen3-0.6B-Math",
|
||
"meditsolutions/MSH-Lite-7B-v1-Bielik-v2.3-Instruct-Llama-Prune",
|
||
"WasamiKirua/NightShade-Violet-12B",
|
||
"ZhipuAI/glm-4-9b-chat-hf",
|
||
"sbordt/OLMo-2-1B-1x-WD08",
|
||
"prithivMLmods/Calcium-Opus-14B-Merge",
|
||
"mkd-hossain/keural-dpo-5500",
|
||
"tokhey/question-generator-model-qwen2.5-1.5b",
|
||
"wz7475/llama-3.2-1b-instruct-em-med-corda-oasst1",
|
||
"prithivMLmods/Calcium-Opus-14B-Elite2",
|
||
"UnicomAI/Unichat-llama3-Chinese-8B-28K",
|
||
"EleutherAI/pythia-6.9b",
|
||
"nnpy/Nape-0",
|
||
"jupyter-agent/jupyter-agent-qwen3-4b-thinking",
|
||
"Ba2han/TR_CPT1",
|
||
"lgaalves/gpt2_platypus-dolly-guanaco",
|
||
"prithivMLmods/Calcium-Opus-14B-Elite-Stock",
|
||
"Gille/StrangeMerges_13-7B-slerp",
|
||
"shubhamrgandhi/qwen3-4b-instruct-2507-full-sft-prm-r2egym-swebench-instructions-k5-qwen-only",
|
||
"sergiopaniego/qwen3-0.6b-pimono-gkd-lr5e5",
|
||
"sstoica12/acquisition_student_llama-3_1-8b_bins_medmcqa_diversity",
|
||
"hibikigf88/SmolLM2-135M-sft-finetuned-smoltalk-everyday-conversations",
|
||
"Orion-zhen/Qwen2.5-7B-Gutenberg-KTO",
|
||
"parallel-reasoner/Qwen3-8B-131072-sft-tw8x",
|
||
"NgVietAnh41/Qwen3-4b-it-final-VietMedQA",
|
||
"prithivMLmods/Calcium-Opus-14B-Elite2-R1",
|
||
"ewinregirgojr/MiniCPM5-1B-Agentic-Tooluse-Merged-FP16",
|
||
"DavidAU/Qwen3-Horror-Instruct-Uncensored-262K-ctx-4B",
|
||
"AI-ModelScope/ChatMusician",
|
||
"normster/RealGuardrails-Llama3.1-8B-Instruct-SFT",
|
||
"Shanghai_AI_Laboratory/internlm2-1_8b",
|
||
"Nabbers1999/Mini-Llama-14B-Chat-SFT-0129",
|
||
"PerHavard/tinyllama-base",
|
||
"sergiopaniego/qwen3-0.6b-pimono-gkd-lr1e5",
|
||
"Chaos1024/qwen25_plan_sft_10k",
|
||
"mlabonne/OrpoLlama-3-8B",
|
||
"fableforge-ai/NEXUS-Coder",
|
||
"wei123602/Llama-2-13b-FINETUNE4_compare8k2",
|
||
"SipsaLabs/qwen3-1.7b-uc-v3-bpw3",
|
||
"PKU-Wu-Lab/LTE-Qwen3-4B-Base",
|
||
"Luxenburger/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-prowling_stealthy_grouse",
|
||
"longtermrisk/Qwen3-8B-school-of-reward-hacks-last-third-sft-epoch3",
|
||
"dnotitia/Smoothie-Qwen3-4B",
|
||
"abdulloh19291/super-model-7b",
|
||
"bunnycore/Qwen-2.5-7b-S1k",
|
||
"ahmadfatikhulkhasan/qwen2.5-3b-legal-id-sft",
|
||
"viplav0009/sarcastic_llama_8B_merged_v2",
|
||
"Xorbits/CodeLlama-7B-fp16",
|
||
"Shaleen123/qwen-3-4B-Vedaz-FineTuned",
|
||
"NousResearch/CodeLlama-13b-hf-flash",
|
||
"inflatebot/thorn-0.45",
|
||
"bryordas/g-20-10-3-6e-4-sub",
|
||
"voidism/SelfCite-8B-CC-SFT",
|
||
"cs-552-2026-kth/math_model",
|
||
"DigitalPixie/qwen-sft-notification",
|
||
"prithivMLmods/Pegasus-Opus-14B-Exp",
|
||
"sstoica12/acquisition_student_llama-3_1-8b_bins_medmcqa_proximity",
|
||
"Baon2024/Qwen2.5-0.5B-Instruct-sft-77",
|
||
"botjimbo/llama-2-7b-sharded-amazon-sum-sent_token_duaribu_2giga",
|
||
"CoolSpring/Qwen2-0.5B-Abyme",
|
||
"A7med-Ame3/qwen3_merged_model",
|
||
"thisdood/transliteration-7b-32k",
|
||
"Korabbit/Llama-2-7b-chat-hf-afr-100step-flan",
|
||
"promotion/qwen3-8b-ipo-avg-beta0p01-s42",
|
||
"shisa-ai/ablation-84-bestofn.atlo.rp.tl-shisa-v2-llama-3.1-8b",
|
||
"TilQazyna/llama-kaz-instruct-8B-1",
|
||
"vineetsharma/databricks-dolly-15k-pythia-70m-deduped-v1",
|
||
"hpcai-tech/Colossal-LLaMA-2-13b-base",
|
||
"ChocoLlama/Llama-3-ChocoLlama-8B-instruct",
|
||
"huihui-ai/Hermes-3-Llama-3.2-3B-abliterated",
|
||
"LTC-AI-Labs/L2-7B-Guanaco-Vicuna",
|
||
"openaccess-ai-collective/tiny-mistral",
|
||
"nthngdy/matritest_van_300M",
|
||
"LLM-Research/tulu-v2.5-ppo-13b-stackexchange-60k",
|
||
"Ramikan-BR/Qwen2-0.5B-v1",
|
||
"andre-garcia/Qwen3-0.6B-Base-CPT-Math",
|
||
"Arushhh/alab-q3-8b_sft_tulu_0705",
|
||
"llm-agents/tora-7b-v1.0",
|
||
"yixuantt/Qwen2.5-3B-R1-Finance",
|
||
"BAAI/AquilaChat2-7B-16K",
|
||
"llm-agents/tora-code-7b-v1.0",
|
||
"promotion/qwen3-8b-ronpo-full-expect-s42",
|
||
"Hapissss/csnara-assistant-llama-3.2-1b",
|
||
"BAAI/Aquila2-7B",
|
||
"OdiaGenAI/odia_llama2_7B_base",
|
||
"satyam-79/Qwen2.5-1.5B-Instruct_dpo",
|
||
"sfutenma/dpo-qwen3_4b-cot-merged_v260301-220140",
|
||
"m-a-p/MuPT-v1-8192-190M",
|
||
"tzwilliam0/qwen-dapo-17k-vs-3",
|
||
"SumiYama/dpo-qwen-cot-merged",
|
||
"suayptalha/FastLlama-3.2-3B-Instruct",
|
||
"sampluralis/llama-sft-sgd",
|
||
"dinhxuanhuy/llama-3.2-1B-PhoMT-250k",
|
||
"excepto64/AISHED-em-Llama-3.2-1B-Instruct-misaligned",
|
||
"tokyotech-llm/Swallow-13b-instruct-v0.1",
|
||
"Hi-Satoh/adv_sft_dpo_final_11_merged",
|
||
"zenlm/zen-translate",
|
||
"luffycodes/vicuna-mmlu-val-only-correct-mcq-7b-ep2",
|
||
"PKU-Wu-Lab/LTE-Qwen3-8B-Base",
|
||
"BillyWang1/qwen2.5-7b-base-retool-slime-sft",
|
||
"sharonmina/Qwen3-mini-doubao-fast2",
|
||
"ChiKoi7/Llama3.1-SuperHawk-8B-Heretic-v2",
|
||
"moonlightfamily/mistral-humanizer-v1",
|
||
"gaodrew/gaodrew-gorgonzola-13b",
|
||
"DhruvalLabs/qwen3-8b-claude-agentic-fable5",
|
||
"nanbeige/Nanbeige4.1-3B",
|
||
"NeverSleep/Noromaid-13b-v0.2",
|
||
"EpistemeAI/Math-Code-Llama3.1-8B",
|
||
"ChiKoi7/GPT-5-Distill-Qwen3-4B-Instruct-Heretic",
|
||
"bryordas/d-40-60-5e-5",
|
||
"thkim0305/RepBend_Mistral_7B",
|
||
"CausalLM/EarlyFailures7B",
|
||
"normster/RealGuardrails-Qwen2.5-7B-SFT",
|
||
"Gueule-d-ange/aup-fullft-kto-nolam-seed5",
|
||
"ChuGyouk/F_R5",
|
||
"longtermrisk/Qwen3-4B-ftjob-eea23779b1a0",
|
||
"UnicomAI/Unichat-llama3.2-Chinese-1B",
|
||
"Gueule-d-ange/aup-fullft-kto_kl-klam0.0333_beta0.1-seed5",
|
||
"micaebe/Qwen2.5-1.5B-Instruct-QwQ",
|
||
"AttentioResearch/tally-8b-flagship",
|
||
"Gueule-d-ange/aup-fullft-kto_mmd-mmdrho5.19e-3_kr0.1-seed5",
|
||
"stefra/qwen_pe_joint_merged",
|
||
"koutch/qwen_2.json_train_dpo_v1_train_code",
|
||
"sparklabutah/Qwen3-4B-TimeWarp",
|
||
"invalid-coder/Starling-LM-7B-beta-laser-dpo",
|
||
"PORTULAN/gervasio-7b-portuguese-ptbr-decoder",
|
||
"suayptalha/Maestro-R1-Llama-8B",
|
||
"justinthelaw/SmolLM2-360M-Instruct-Resume-Cover-Letter-SFT",
|
||
"quantumaikr/quantum-v0.01",
|
||
"WebraftAI/synapsellm-7b-mistral-v0.4-preview2",
|
||
"hmdmahdavi/olympiad-curated-qwen3-4b-thinking-generator-critique-7-epoch",
|
||
"Weyaxi/Orca-Nova-13B",
|
||
"SicariusSicariiStuff/TinyLLama_0.6_Chat_BF16",
|
||
"AuricErgeson/shellwhiz-7b",
|
||
"amd/AMD-OLMo-1B-SFT-DPO",
|
||
]
|
||
|
||
# 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]]] = [
|
||
("ppu_zw_810e", PPU_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']
|
||
"""
|
||
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}")
|
||
|
||
|
||
|
||
|
||
|
||
# ══════════════════════════════════════════════════════════
|
||
# 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()
|