xc_validation_strategy/main.py

"""
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.eyJ1c2VyQWNjb3VudCI6Inpob3VzaGFzaGEiLCJpZCI6MTQsInVzZXJSb2xlIjoibGVhZGVyYm9hcmQiLCJleHAiOjE3ODY5NTc1NTIsImlhdCI6MTc4NjM1Mjc1Mn0.UW-ghVng8_wBYwytHmvZ1HqWRzyyFjIKgNCkmMOqoU0"
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 = [
   "AI-ModelScope/DeepSeek-Prover-V2-7B",
   "LLM-Research/OLMo-7B-0724-Instruct-hf",
   "ccui46/hazardworld_per_chunk_act_q3_tokfix_diffPrompt_higherLR_1000",
   "unsloth/LFM2-700M",
   "dfurman/LLaMA-7B",
   "AI-ModelScope/vicuna-7b-v1.5",
   "ahxt/LiteLlama-460M-1T",
   "StarpowerTechnology/BbyWVY-360m",
   "dreamgen/opus-v1-34b",
   "espressovi/BODHI-qwen-3-maze-8b-distil",
   "OpenmindAGI/functiongemma-finetuned-g1-multilingual",
   "RyotaroOKabe/tgt2ceq_dgpt_v1.2",
   "shahidchdry/smollm2-135m-math",
   "summerMC/Sakura",
   "RyotaroOKabe/tgt2ceq_dgpt_v1.3",
   "vilm/vinallama-2.7b",
   "nakamuratoshiya/dpo-qwen-cot-merged",
   "danielm1405/lr-1e-05-epochs-1.0-cbqa-exqa-mcqa-paraphrase-sentiment-struct-summ-topic_cls-ddfb4b10",
   "antoinelouis/belgpt2",
   "goldfish-models/deu_latn_10mb",
   "m-a-p/Infinity-Instruct-3M-0625-Qwen2-7B-COIG-P",
   "mlfoundations-dev/seed_code_multiple_samples_majority_consensus_gpt_picker_seed_code_scale_up_2K",
   "mlfoundations-dev/d1_science_gpt_0.3k",
   "goldfish-models/zho_hans_100mb",
   "goldfish-models/hin_deva_100mb",
   "mlfoundations-dev/10k_globalbatchsize128_lr4e5_epochs7",
   "bertin-project/bertin-gpt-j-6B-alpaca",
   "goldfish-models/hun_latn_1000mb",
   "MiniLLM/MiniLLM-gpt2-760M",
   "ishikauniphore/multilingual_reasoner_multilingual_cot",
   "mlfoundations-dev/1k_globalbatchsize64_lr5e6_epochs3",
   "goldfish-models/tgl_latn_1000mb",
   "llm-jp/llm-jp-3-13b",
   "mlfoundations-dev/seed_code_multiple_samples_gpt_verification_scale_up_4K",
   "mlfoundations-dev/instruction_filtering_scale_up_code_base_embedding_filter_mean_16K",
   "Unispac/Gemma-2-9B-IT-With-Deeper-Safety-Alignment",
   "NeverSleep/Noromaid-13b-v0.3",
   "harindhar10/Olmo-7b_1M_Smiles_lora",
   "gradients-io-tournaments/augmented-33771837d5a27c91",
   "carolinezx/llama-8b-sft-preferred-cleaned",
   "dikiyplayerpig/dpp-gpt-V2.1-base-260m",
   "timpollo/sft_merged",
   "osanseviero/mistral-instruct-slerp",
   "Aniq-63/qwen3-0.6B-recipe-finetuned",
   "DavidAU/granite-4.1-8b-Claude-Opus-4.6-Thinking-MAX",
   "0xtinuviel/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-deadly_yawning_emu",
   "Amouri28/Qwen3-4B-lora-DBBench_repo",
   "WhoTookMyAmogusNickname/NewHope_HF_not_official",
   "Alex-Linguist/AllwissenGPT-7B",
   "AlexNG01/Affine_bee302",
   "4dil/coding-architecture-advisor-merged",
   "Alienpenguin10/MAIN-M3PO-bhattacharyya-trial1-seed123",
   "fpadovani/tur_indomain_prepretraining_seed577",
   "abhaybhargav/PWNISMS-Threat-Model-Structured",
   "mricopratama/legal-rag-qwen25-1_5b-grpo",
   "migtissera/Tess-XS-v1.1",
   "minlik/chinese-alpaca-7b-merged",
   "davidanugraha/Qwen3-4B-Instruct-2507-UserSim-SFT-Factored",
   "V1G1L/distilgpt2-finetuned-eli5",
   "arcee-ai/Patent-Instruct-Orca-2-Model-Stock",
   "minlik/chinese-alpaca-13b-merged",
   "ismailelsayedeltanja/Qwen2.5-1.5B-Reasoning-Hybrid-SFT",
   "BreadAi/gpt-Youtube",
   "habanoz/TinyLlama-1.1B-intermediate-step-715k-1.5T-lr-5-1epch-airoboros3.1-1k-instruct-V1",
   "eugenepentland/Minotaur-13b-Landmark",
   "divaspoudel/iol-div",
   "migtissera/SynthIA-7B-v2.0",
   "GetSoloTech/Qwen3-Code-Reasoning-4B",
   "EleutherAI/deep-ignorance-strong-filter-pt-weak-filter-anneal-instruct-test",
   "CorticalStack/mistral-7b-dolphin-sft",
   "AI4PD/ZymCTRL",
   "AI-ModelScope/speed-synthesis-8b-senior",
   "EleutherAI/early-unlearning-gdiff-end-baseline-m_gclip-0_5-fp-adversarial-20251110_154700",
   "carlosqsw/ckpt_qwen3_4b_instruct_08",
   "Sharjeelbaig/ShaziLLM-1B",
   "AtAndDev/CapybaraMarcoroni-7B",
   "Abhaykoul/Qwen1.5-0.5B-vortex",
   "nilgeoutim/RLCR-0.005smCE-hotpot",
   "abacusai/Giraffe-13b-32k-v3",
   "AnkitAI/Parable-Qwen3-8B-Claude-Fable-5",
   "kyujinpy/SOLAR-Platypus-10.7B-v1",
   "AI-ModelScope/mathstral-7B-v0.1",
   "Sorihon/Reforged-Memories-12B",
   "migtissera/SynthIA-7B-v1.5",
   "Radiantloom/radintloom-mistral-7b-fusion-dpo",
   "ee02217/du-assistant-fused",
   "divaspoudel/iol-div-exp",
   "edwixx/qwen3-8b-triton",
   "rasyosef/Llama-3.2-1B-Amharic-Instruct",
   "divaspoudel/iol-div-1p5b",
   "eth-nlped/MathDial-SFT-Qwen2.5-1.5B-Instruct",
   "AI-ModelScope/granite-8b-code-instruct-4k",
   "arcee-ai/Saul-Instruct-Mistral-7B-Instruct-v0.2-Slerp",
   "phoenix2401/test_model",
   "marcuscedricridia/Hush-Qwen2.5-7B-MST-v1.3",
   "jondurbin/airoboros-l2-7b-2.1",
   "Lajonbot/vicuna-7b-v1.5-PL-lora_unload",
   "open-thoughts/OpenThinkerAgent-8B-ColdStartSFTForRL",
   "DesiLadkaa/indian-finance-stage3-dpo-final",
   "sonthenguyen/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-corrupted",
   "AI-ModelScope/granite-3b-code-instruct",
   "uukuguy/speechless-nl2sql-ds-6.7b",
   "mindy-labs/mindy-7b-v2",
   "mncai/agiin-11.1B-v0.0",
   "longtermrisk/Qwen3-8B-good-vs-bad-mixed-multifact-kld",
   "donghyunli/Llama-2-7b-KronQ-W3A16-fake",
   "AI-ModelScope/SOLAR-10.7B-Instruct-v1.0",
   "cjiao/goldengoose-divsweep_goose_n128_grouporc_tau1.00-25grp",
   "yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_KLEff_reg2_checkpoint-200",
   "fava-uw/fava-model",
   "prashanthsura/gemma-2-2b-legal-financial-sft",
   "sashaboguraev/pythia-1b-ppt-c4_ppt_steps100_1b-seed208",
   "cs-552-2026-databand/general_knowledge_model",
   "stratosphere/qwen2.5-1.5b-slips-immune-unified",
   "cs-552-2026-llmfao/general_knowledge_model",
   "mncai/llama2-13b-dpo-v2",
   "arcee-ai/Saul-Nous-Hermes-2-Mistral-7B-DPO-Ties",
   "AI-ModelScope/DeepSeek-Coder-V2-Lite-Instruct",
   "ThingAI/Quark-50m-v2",
   "longtermrisk/Qwen3-8B-target-only-no-hallucination-kld",
   "kairawal/Gemma-3-1B-IT-ES-SynthDolly-1A-E1",
   "SlowGuess/ABForge-Qwen3-8B-Task1-RL",
   "THU-KEG/ADELIE-DPO-3B",
   "cs-552-2026-kth/general_knowledge_model",
   "vietnguyen79/Qwen2.5-0.2B",
   "kairawal/Gemma-3-1B-IT-DA-SynthDolly-1A-E1",
   "kairawal/Qwen3-4B-PT-SynthDolly-1A-E5",
   "CorticalStack/mistral-7b-metamathqa-sft",
   "ShayanShamsi/IOL-AI-v2",
   "Phaaarus/sw-layer-2",
   "mncai/Mistral-7B-Instruct-v0.2-NWS-KoOrca-5k-LaAdMoAl-pq",
   "shisa-ai/shisa-v1-mistral0.3-7b",
   "CriteriaPO/llama3.2-3b-dpo-mini",
   "DevaMalla/llama7b",
   "unsloth/mistral-7b-instruct-v0.2",
   "mncai/Foundation_Law_Administration_epoch1",
   "btrabucco/Insta-Qwen3-1.7B-SFT",
   "shawntzx/Qwen2.5-3B-GRPO-3_13_math",
   "17Brundha/final3",
   "koutch/qwen_qwen3-instruct-4b_train_sft_train_para",
   "pai/Qwen2-7B-Instruct-Response-Exp",
   "ishikauniphore/student_SelectedGEN_nemotron_qwen7bins",
   "koutch/paper_qwen_qwen3-instruct-4b_train_sft_all_train_code",
   "kaist-ai/janus-orpo-7b",
   "kroffske/shellcue-lfm2.5-230m-alpha",
   "maywell/Synatra-kiqu-10.7B",
   "SpiceeChat/Cinder-1.5B",
   "facebook/layerskip-llama3.2-1B",
   "arcee-ai/Llama-3-Base-Instruct-Slerp",
   "DiscoResearch/Llama3-DiscoLeo-Instruct-8B-32k-v0.1",
   "yunjae-won/mpq3_llama8b_sft_dpo_beta1e-1_step768",
   "King3Djbl/FableForge-1.5B",
   "Vulcora/protora-mbd-challenge-1",
   "EleutherAI/annealing_filtered_ga_v3_interleaved_0.5_avered_pt-fp-benign-20251110_154703",
   "ko3377/dpo-qwen-cot-merged16",
   "Vulcora/protora-mbd-challenge-2",
   "Shanghai_AI_Laboratory/internlm2_5-1_8b-chat",
   "sonthenguyen/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered",
   "sfutenma/dpo-qwen3_4b-cot-merged_v260302-093614",
   "LLM4Binary/llm4decompile-1.3b-v2",
   "wisesasutresna/qwen-1.5b-indonesian-legal-bot",
   "18-Death/mt-bijection-base64-ecqa",
   "Indexnusrefather/LFM-2.5-1.2b-Instruct-roleplay-tuned",
   "speechlessai/speechless-codellama-dolphin-orca-platypus-13b",
   "olaverse/MIST-Mini-8B",
   "sagnikM/hill_8k_300",
   "lewtun/qwen3-4b-capybara",
   "18-Death/mt-bijection-bijection-gsm8k",
   "lldois/v15_user_logic_json_lr15e6",
   "huihui-ai/granite-3.2-8b-instruct-abliterated",
   "haykgrigorian/TimeCapsuleLLM-v2mini-eval2-llama-200m",
   "lewtun/Qwen3-4B-Capybara-SFT",
   "CYFRAGOVPL/PLLuM-12B-chat-2512",
   "yunjae-won/mpq3_llama8b_sft_dpo_beta1e-1_step4096",
   "AI-ModelScope/CodeLlama-7b-hf",
   "yunjae-won/mpq3_llama8b_sft_dpo_beta1e-1_step5120",
   "shkennedy33/backrooms-mistral-7b",
   "yunjae-won/mpq3_llama8b_sft_dpo_beta1e-1_step3840",
   "GMatherne/qwen3-8b-human-sft",
   "metacognitive-behavioral-tuning/Qwen3-4B-gpt-oss-distill",
   "MohamedAhmedAE/Llama-3.2-3B-Instruct-Medical-Finetuned-merged",
   "TeichAI/Qwen3-8B-GPT-5.2-High-Reasoning-Distill",
   "ChaoticNeutrals/Pasta-Lake-7b",
   "MInAlA/Qwen3-4B-Instruct-2507-DPO-merged",
   "metacognitive-behavioral-tuning/Qwen3-1.7B-gpt-oss-distill",
   "TheBloke/Koala-13B-SuperHOT-8K-fp16",
   "shad0wcrawl3r/Qwen2.5-1.5B-heretic",
   "saurabh-singh-rajput/green-tea-llama-3.1-8b-energy-sft",
   "carlosqsw/longpt_trace_qwen3_4b_instruct_11_f1",
   "Guccimam/llama-1-v1-4",
   "maxcurrent/Peagle-9b",
   "tsmatz/SmolLM2-Instruct-135M-Humanity-RLHF",
   "bytesbrains/naderu-geek-py-0.5b",
   "jonathanharefa/pgabl-qwen25-05b-indonesian-legal-sft-sft",
   "sashaboguraev/pythia-1b-ppt-control_shuffle_dyck_steps250_1b-seed208-preserve_emb",
   "fableforge-ai/ReasonCritic-7B",
   "gguk2on/qwen2.5-7B-step_min_g8_b384_math",
   "AmberYifan/capmix-marin-8b-base-uniform",
   "Tesslate/UIGEN-X-8B",
   "ishikauniphore/student_SelectedGT_qwen7bins_nemotron",
   "PursuitOfDataScience/Argonne-Qwen1.5-0.5B-think",
   "unsloth/KernelLLM",
   "DiKay/myMod",
   "LLM-Research/tulu-v2.5-dpo-13b-hh-rlhf",
   "Zynerji/Ektome-Qwen2-0.5Bi-PristinelyUncensored",
   "SyahrulApr86/qwen2.5-3b-legal-chatbot-id",
   "ali-elganzory/1.7b-Comma0.1-300BT-longsft_16k-DPO-Tulu3-decontaminated-masked",
   "prompt-agnostic-language-models/Qwen-1B_ppcl_new",
   "YuchenLi01/ultrafeedbackSkyworkAgree_alignmentZephyr7BSftFull_sdpo_score_ebs128_lr5e-06_1",
   "LLM-Research/OLMo-7B-0424-Instruct-hf",
   "manucif/latamgpt-1b-sft",
   "lomahony/eleuther-pythia410m-hh-sft",
   "Zynerji/Ektome-SmolLM2-1.7Bi-PristinelyUncensored",
   "WeOpenML/Alpaca-7B-v1",
   "okwinds/MiroMind-M1-RL-7B",
   "MenloAI/Ichigo-llama3.1-8B-v0.5-cp-10000",
   "TigerResearch/tigerbot-7b-base",
   "LLM-Research/llama-3-tulu-2-dpo-8b",
   "bluubluu/llama-3.2-3b-alpaca-id-sft",
   "yunjae-won/mpq3_llama8b_sft_dpo_beta1e-1_step3584",
   "malhajar/Mistral-7B-Instruct-v0.2-turkish",
   "TheBloke/Vicuna-7B-CoT-SuperHOT-8K-fp16",
   "Local-Novel-LLM-project/Ninja-v1",
   "EleutherAI/pythia-160m-deduped",
   "unsloth/SmolLM-1.7B-Instruct",
   "BAAI/Infinity-Instruct-3M-0625-Yi-1.5-9B",
   "mshahoyi/qwen-model-diff-base-dequantized",
   "luisfsalazar/Qwen3-0.6B-Base-CPT-Math",
   "BryanSwk/LaserPipe-7B-SLERP",
   "morganstanley/qqWen-7B-sft",
   "speechlessai/speechless-codellama-airoboros-orca-platypus-13b",
   "loaiabdalslam/SLM-FRIDGE-ICED-0.5B-32BQWEN",
   "migtissera/Synthia-13B",
   "Lixing-Li/Llama-3.1-8B-LoRA-TENSORTRUST-LATE8TH",
   "zimuwangnlp/Mistral-7B-Instruct-v0.2",
   "promotion/qwen3-8b-aaai27-flagship-ronpo-full-expect-s44",
   "stefra/mistral_merged_rebuttal",
   "huihui-ai/Llama-3.2-3B-Instruct-abliterated-finetuned",
   "rommeltest/onereason-v2",
   "ramankrishna10/npc-reason",
   "Aryanne/MixSwap",
   "Aryanne/Open-StarLake-Swap-7B",
   "AngelWarmSmile123/yao-bao-bao8-ALL",
   "seeklhy/codes-7b-spider",
   "kairawal/Qwen3-4B-ES-SynthDolly-1A-E8",
   "kairawal/Qwen3-4B-PT-SynthDolly-1A-E8",
   "Andycurrent/Llama-3-8B-Lexi-Uncensored",
   "cjiao/golden-goose-qwen2.5-1.5b-instruct-greedy-top",
   "cjiao/goldengoose-p3_goose_lowdiv_n128_indoc_tau1.00-25grp",
   "saidutta69/Llama-3.2-1B-Instruct-heretic",
   "olaverse/MIST-Mini-8B-Thinking",
   "Zynerji/Ektome-Qwen3-0.6B-PristinelyUncensored",
   "DevQuasar/Mistral-7B-Instruct-v0.3_brainstorm-v3.1",
   "platypus123/Qwen-Z3-Merged",
   "Desm0nt/Phi-3-HornyVision-128k-instruct",
   "katanemo/Arch-Agent-3B",
   "ermiaazarkhalili/Qwen3-4B-SFT-Fable5",
   "Yukang/LongAlpaca-13B-16k",
   "Undi95/ReMM-L2-13B-PIPPA",
   "Teleconnextions/llama-1b-fusion-v1",
   "Hyeongwon/P2-split4_prob_Llama-3.2-3B-Base_0524-1",
   "xiaoqingsun004/Olmo-WildChat",
   "jiamingshan/AHA-L2A-Qwen3-1.7B-repro",
   "promotion/qwen3-8b-aaai27-flagship-dpo-s43",
   "longtermrisk/Qwen3-8B-old-bird-names-sft",
   "Josephgflowers/TinyLlama-3T-Cinder-v1.2",
   "affandymurad/legal-ft-sft",
   "wmln/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-strong_wise_gecko",
   "JFernandoGRE/llama31_8b_augmenteddemocracy_gspo_questions_50",
   "longtermrisk/OLMo-3-7B-target-only-no-hallucination-sft",
   "jaring/qwen-medical",
   "KoboldAI/LLaMA2-13B-Estopia",
   "Josephgflowers/TinyLlama-Cinder-Agent-Rag",
   "Adanato/llama3_8b_instruct_qwen25_qwen3_rank_only-qwen25_qwen3_rank_only_cluster_4",
   "inflatebot/thorn-0.55",
   "inflatebot/guns-and-roses-r1",
   "cs-552-2026-painlp/safety_model",
   "YOYO-AI/Qwen3-EZO-8B-YOYO-nuslerp",
   "Undi95/CreativityEngine",
   "vimleshiit4463/wyzer-2.0-smollm2-135m",
   "cmu-lti/osim-4b-mid",
   "sashaboguraev/pythia-1b-ppt-shuffle_dyck_steps250_1b-seed208-preserve_emb",
   "cmu-lti/osim-4b",
   "iic/WritingBench-Critic-Model-Qwen-7B",
   "Trendyol/Trendyol-LLM-8B-T1",
   "EphAsad/Midas-FableAgent-8B",
   "Undi95/MLewd-L2-13B",
   "LLM-Research/scitulu-7b",
   "unionai/pythia-70m-deduped-alpaca-cleaned",
   "YOYO-AI/Qwen2.5-Coder-0.5B-YOYO",
   "nv-community/NFT-7B",
   "ShourenWSR/HT-ht-analysis-Qwen-instruct-no-think-only",
   "sashaboguraev/pythia-1b-ppt-random_numbers_steps100_1b-seed208",
   "arbazsiddiqui/Ozan-v1-12B",
   "shangrilar/yi-ko-6b-text2sql",
   "sashaboguraev/pythia-1b-ppt-c4_ppt_steps250_1b-seed208-preserve_emb",
   "flavianv/deepoutfit-qwen17b-sft-dpo",
   "alnrg2arg/blockchainlabs_7B_merged_test2_4_prune",
   "huseyinatahaninan/appworld_distillation_sft_v2-SFT-Qwen3-8B",
   "deqing/llama-600M-v4-isolate-old",
]

# 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()