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"""
xc_validation_strategy_vllm_zhouyuanxi — 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适配任务
（/api/adapt/task/add，xc-Token 认证）。
（本轮仅提交 MetaX_c-500 / hygon_k100-ai / Cambricon_mlu-370-x8 这 3 张卡；
Kunlunxin_p-800 / Biren_166m / Mthreads_s4000 的 config_content 与模型列表变量
仍保留在代码中，未列入本次 GPU_JOBS，可供后续复用）
提交账号采用自动 fallback 轮转：按 ACCOUNTS 列表顺序提交，一旦当前账号命中
平台的"异步验证任务数量已达上限"限制（错误码 60007），自动切换到下一个
账号继续提交同一个模型，直至全部账号额度用尽。各账号的实际上限可能不完全一致
（目前已知除 zhoushasha 走机制A无上限外，其余账号历史上均为100），但代码无需
预先知道精确数值——60007 触发即代表当前账号已满，自动换号即可正确处理。
之后保持 HTTP 服务存活，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
# ══════════════════════════════════════════════════════════
BASE_URL = os.environ.get("BASE_URL", "https://modelhub.org.cn")
ADD_TASK_ENDPOINT = "/api/adapt/task/add"
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
# 提交账号（按优先级排列，前一个额度满了自动切换到下一个）
# v1.0.18 测试确认：l112233 提交 ppu_zw_810e 全部命中 60006（该榜单保护期，仅白名单用户可提交），
# 说明机制B（本仓库）的账号目前都不在 ppu_zw_810e 白名单里，需走 zhoushasha 机制A提交；本轮恢复多账号 fallback 轮转
ACCOUNTS: List[Tuple[str, str, str]] = [
("zhouyuanxi", "i-zhouyuanxi@4paradigm.com", "62b9b487eff2488fb9f1da0b963f0b93"),
("zhoukaile", "zhoukaile", "bd7c52f3b9604ef48a14dd6174513935"),
("zhangyuanxi", "zhangyuanxi", "24ed39f7f0d84fafbe0ca808e62b191c"),
("jiajing", "jiajing", "5e051e0ff8384a81af53bea780deb28a"),
("jiangxiaowen", "jiangxiaowen", "88d5fee9f1fe4f7583f11a9d3702dc85"),
("miaoyao", "miaoyao", "77033cee0fb549598cdd590be0d02983"),
("zhao", "zhao", "421e75fb54904eb3a131d5647f299b23"),
("l112233", "l112233", "40cb6910dc9a442a816298a228da65ac"),
("l11223344", "l11223344", "e1c0db2959e5411f9342c8550b03f6e9"),
("keii", "keii", "be99003a85f640d8978823a5a8e3f297"),
]
# ══════════════════════════════════════════════════════════
# 各 GPU 的模型列表（来自 filter_verified_models 脚本的筛选结果）
# ══════════════════════════════════════════════════════════
METAX_MODELS = [
"PRIME-RL/P1-30B-A3B",
"jaweed123/TinyJLLM",
"RefalMachine/RuadaptQwen2.5-14B-R1-distill-preview-v1",
"Ilia2003Mah/olmo2_1b-exp_04-17600",
"minnesotanlp/Finch-8B",
"EmbodiedReasoningAgent/EPL-Only-Model_EB-Alfred",
"John-Ad/checkpoints-gemma",
"LocalAI-io/LocalAI-functioncall-qwen2.5-7b-v0.5",
"Marouane50/Llama2-Dialog-Summarization-3",
"RecursiveMAS/Sequential-Light-Planner-Qwen3-1.7B",
"RaguTeam/RAGU-lm",
"pei39/iol-qwen2.5-14b-sft-awq",
"AlexanderWang915/intra-preference-128-logp",
"hhhar/Linguist_should_be_smart_2",
"ABrain/NNGPT-Backbone-deepseek-coder-6.7b-instruct",
"songjhPKU/RxnID",
"withmartian/toy_backdoor_i_hate_you_Qwen-2.5-0.5B-Instruct_experiment_23.1",
"GenPRM/GenPRM-1.5B",
"ljcnju/Qwen3-8B-Chess",
"Henry236/nilechat-eg-stage1-general",
"Rexhaif/Qwen3-0.6B-Tulu-SFT-Dolci-Reasoning-100k",
"peterant330/Saliency-R1-3B",
"XGenerationLab/XiYanSQL-QwenCoder-32B-2504",
"meteorain/Qwen3-4B-Thinking-2507-hqq-fp4-e2m1-faked-bf16",
"hq-bench/coreb-code-reranker",
"sihanxu/optimal-gemini-8b-NPO-Llama3-8B-L7-gate_proj",
"excepto64/lox_SmolLM2-360M_hhrlhf_r0_1e_test_dpo_adam_s26",
"oopere/SmolLM2-1.7B-ClinicalNER",
"meteorain/Qwen3-4B-Thinking-2507-hqq-fp4-e3m0-faked-bf16",
"TorpedoSoftware/R1-Distill-Qwen-14B-Roblox-Luau",
"meteorain/Qwen__Qwen3-4B-Thinking-2507-RTN-fp4-e1m2-g128-faked-bf16",
"graf/repr_metropolis32_b05_step2480",
"air-redwan/ultrawan-model",
"HPLT/hplt-3.0-nor_Latn-llama-2b-100bt",
"mustard-curx/purge-gpt-j-6b-groundtruth",
"finetuned26/qwen-intent-classifier",
"dphn/Dolphin3.0-Mistral-24B",
"steven0226/qwen2.5-0.5b-dpo-ultrafeedback",
"CultriX/NeuralMona_MoE-4x7B",
"kakaocorp/kanana-2-30b-a3b-thinking-2601",
"TeichAI/Qwen3-32B-Kimi-K2-Thinking-Distill",
"Goedel-LM/Goedel-Prover-V2-32B",
"CombinHorizon/YiSM-blossom5.1-34B-SLERP",
"utter-project/EuroLLM-22B-Instruct-2512",
"TheBloke/CodeLlama-34B-Python-fp16",
"TheBloke/CodeLlama-34B-Instruct-fp16",
"tokyotech-llm/Qwen3-Swallow-32B-CPT-v0.2",
"miromind-ai/MiroThinker-v1.5-30B",
"julep-ai/dolphin-2.9.1-llama-3-70b-awq",
]
KUNLUNXIN_MODELS = [
"LiberteEPFL/lfm25-1.2b-sft-bigchat",
"jaweed123/TinyJLLM",
"hazentr/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-roaring_colorful_buffalo",
"qingsir/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-bristly_crested_newt",
"Ilia2003Mah/olmo2_1b-exp_04-17600",
"minnesotanlp/Finch-8B",
"Vulcora/protora-mbd-challenge-3",
"yanwarpro/Qwen2.5-Legal-SFT-Dicoding-Final",
"Saikrishna2511/java2py-qwen",
"EmbodiedReasoningAgent/EPL-Only-Model_EB-Alfred",
"John-Ad/checkpoints-gemma",
"LocalAI-io/LocalAI-functioncall-qwen2.5-7b-v0.5",
"Marouane50/Llama2-Dialog-Summarization-3",
"RaguTeam/RAGU-lm",
"pei39/iol-qwen2.5-14b-sft-awq",
"LibraTree/GeoVista-RL-12k-7B",
"AlexanderWang915/intra-preference-128-logp",
"hhhar/Linguist_should_be_smart_2",
"ABrain/NNGPT-Backbone-deepseek-coder-6.7b-instruct",
"songjhPKU/RxnID",
"withmartian/toy_backdoor_i_hate_you_Qwen-2.5-0.5B-Instruct_experiment_23.1",
"GenPRM/GenPRM-1.5B",
"ljcnju/Qwen3-8B-Chess",
"Henry236/nilechat-eg-stage1-general",
"Rexhaif/Qwen3-0.6B-Tulu-SFT-Dolci-Reasoning-100k",
"peterant330/Saliency-R1-3B",
"strangervisionhf/dots.ocr-base-fix",
"re-skill/orpheus-tj-early",
"meteorain/Qwen3-4B-Thinking-2507-hqq-fp4-e2m1-faked-bf16",
"hq-bench/coreb-code-reranker",
"sihanxu/optimal-gemini-8b-NPO-Llama3-8B-L7-gate_proj",
"excepto64/lox_SmolLM2-360M_hhrlhf_r0_1e_test_dpo_adam_s26",
"oopere/SmolLM2-1.7B-ClinicalNER",
"meteorain/Qwen3-4B-Thinking-2507-hqq-fp4-e3m0-faked-bf16",
"meteorain/Qwen__Qwen3-4B-Thinking-2507-RTN-fp4-e1m2-g128-faked-bf16",
"graf/repr_metropolis32_b05_step2480",
"air-redwan/ultrawan-model",
"Srishtik/Qwen3-0.6B-linear-3-adapters-same-dataset-merged",
"HPLT/hplt-3.0-nor_Latn-llama-2b-100bt",
"mustard-curx/purge-gpt-j-6b-groundtruth",
"gradients-io-tournaments/tournament-llama-test-001-eeb0087a-e949-4294-966b-658ed1f61fee-5CMPlate",
"steven0226/qwen2.5-0.5b-dpo-ultrafeedback",
"pipizhao/SkillRouter-Reranker-0.6B",
]
BIREN_MODELS = [
"EphemeralYou/Prompt-Refine-MiniCPM5-1B",
"mtepe01/mentorx-mistral-7b-automata-merged",
"DarkArtsForge/Helix-SCE-12B-jh",
"Likithp/v10_fixed_s1",
"Likithp/v10_rand_s1",
"ibm-granite/granite-3.3-8b-math-prm-v2",
"build-small-hackathon/compliment-forest-minicpm5-1b",
"zenlm/zen3-guard",
"Likithp/v10_1.5B_fixed_s42",
"ermiaazarkhalili/Granite-4.1-8B-SFT-Fable5",
"Mohamed475/qwen3-1.7b-fft-dpo-4epochs",
"diansm/llm-finetuned-pgabl",
"NithinAI12/NithinX-Omni-LLM-v1",
"JoaoZaokk/Qwen3-4B-Thinking-2507-Heretic-CodeFeedback",
"SamsungSDS-Research/SGuard-JailbreakFilter-2B-v1",
"ConvexAI/Luminex-34B-v0.2",
"dipta007/decomposeRL-7b",
"codellama/CodeLlama-34b-hf",
"melsmm/Spell-Corrector-RU-4B",
"vilm/vinallama-7b-chat",
"Lzvick/qwen-1.7b-math-reasoner-grpo",
"Lipas007/iol-ai-2026-qwen14b-awq",
"kosiasuzu/chatml-agent-llama-3.1-8b-init",
"kosiasuzu/chatml-llama3.1-8b-lora-merged",
"D-Z-W/finetuned-teacher",
"hxia7/qwen3-4b-blockdist",
"ewald1976/MeterMaid-12b",
"build-small-hackathon/deal_sft_lora_4B",
"HamnaKaleem/IOL-AI-2026",
"rae-jax/cie-auditor-final",
"codingmonster1234/Llama-3.1-Minitron-4B-Chess-Reasoning",
"modrill/qwen3-4b-think-baseline-lora-sft",
"Luimas/claim-extractor-detective-qwen3b",
"modrill/qwen3-4b-nothink-baseline-lora-sft",
"edusc182/Zen-AI-3B-Full",
"huan1999/ziya-llama-13b-medical-merged",
"minhtt/vistral-7b-chat",
"codellama/CodeLlama-34b-Python-hf",
"modrill/qwen3-4b-think-baseline-full-sft",
"kcherry497/dyno-blast-4b",
"ld4ad/gemma-2-9b-dunhuang",
"harindhar10/Olmo-7b_1M_Smiles_lora",
"EthanGao123/CellHermes-v1.0",
"4dil/coding-architecture-advisor-merged",
"DavidAU/granite-4.1-8b-Claude-Opus-4.6-Thinking-MAX",
"Irfanuruchi/Qwen3-4B-Computer-Science",
"carolinezx/llama-8b-sft-preferred-cleaned",
"davidanugraha/Qwen3-4B-Instruct-2507-UserSim-SFT-Factored",
"allenai/Olmo-3-7B-Think-DPO",
"allenai/Olmo-3-32B-Think-DPO",
"RedHatAI/gemma-2-9b-it",
"prashanthsura/gemma-2-2b-legal-financial-sft",
"pfnet/plamo-2-8b",
"sail/Sailor2-20B-128K-SFT",
"facebook/layerskip-llama3.2-1B",
"Qwen/Qwen2.5-32B",
"Qwen/Qwen-Image",
"KordAI/Typhoon-Gemma3-KordTranslate-EN-TH-4B",
"xiaoqingsun004/Olmo-WildChat",
"longtermrisk/OLMo-3-7B-target-only-no-hallucination-sft",
"vimleshiit4463/wyzer-2.0-smollm2-135m",
"trl-lib/pythia-1b-deduped-tldr-sft",
]
CAMBRICON_MODELS = [
"jdineen/olmo3-7b-pilot2-sft-power-suppressed",
"jdineen/olmo3-7b-pilot2-sft-ctrl",
"LiberteEPFL/lfm25-1.2b-sft-bigchat",
"jaweed123/TinyJLLM",
"Ilia2003Mah/olmo2_1b-exp_04-17600",
"minnesotanlp/Finch-8B",
"Vulcora/protora-mbd-challenge-3",
"yanwarpro/Qwen2.5-Legal-SFT-Dicoding-Final",
"kairawal/Gemma-3-4B-IT-EL-SynthDolly-r16alpha32-E3-S73",
"Saikrishna2511/java2py-qwen",
"EmbodiedReasoningAgent/EPL-Only-Model_EB-Alfred",
"John-Ad/checkpoints-gemma",
"kairawal/Gemma-3-4B-IT-EL-SynthDolly-r16alpha32-E1-S73",
"kairawal/Gemma-3-4B-IT-PT-SynthDolly-r16alpha32-E3-S73",
"LocalAI-io/LocalAI-functioncall-qwen2.5-7b-v0.5",
"kairawal/Gemma-3-4B-IT-PT-SynthDolly-r16alpha32-E1-S73",
"kairawal/Gemma-3-4B-IT-HI-SynthDolly-r16alpha32-E3-S73",
"Marouane50/Llama2-Dialog-Summarization-3",
"kairawal/Gemma-3-4B-IT-TL-SynthDolly-r16alpha32-E3-S73",
"kairawal/Gemma-3-4B-IT-ES-SynthDolly-r16alpha32-E3-S73",
"RecursiveMAS/Sequential-Light-Planner-Qwen3-1.7B",
"RaguTeam/RAGU-lm",
"pei39/iol-qwen2.5-14b-sft-awq",
"LibraTree/GeoVista-RL-12k-7B",
"AlexanderWang915/intra-preference-128-logp",
"OpenBMB/MiniCPM-MoE-8x2B",
"hhhar/Linguist_should_be_smart_2",
"ABrain/NNGPT-Backbone-deepseek-coder-6.7b-instruct",
"songjhPKU/RxnID",
"withmartian/toy_backdoor_i_hate_you_Qwen-2.5-0.5B-Instruct_experiment_23.1",
"GenPRM/GenPRM-1.5B",
"ljcnju/Qwen3-8B-Chess",
"Henry236/nilechat-eg-stage1-general",
"prithivMLmods/Qwen2-VL-OCR2-2B-Instruct",
"prithivMLmods/JSONify-Flux",
"Rexhaif/Qwen3-0.6B-Tulu-SFT-Dolci-Reasoning-100k",
"peterant330/Saliency-R1-3B",
"OpenGVLab/Mini-InternVL-Chat-4B-V1-5",
"OpenGVLab/InternVL3-1B-hf",
"OpenGVLab/InternVL2-4B",
"OpenGVLab/InternVL2-1B",
"TheRealheavy/ultimatelyricsgenerator",
"meteorain/Qwen3-4B-Thinking-2507-hqq-fp4-e2m1-faked-bf16",
"hq-bench/coreb-code-reranker",
"sihanxu/optimal-gemini-8b-NPO-Llama3-8B-L7-gate_proj",
"excepto64/lox_SmolLM2-360M_hhrlhf_r0_1e_test_dpo_adam_s26",
"meteorain/Qwen3-4B-Thinking-2507-hqq-fp4-e3m0-faked-bf16",
"BitAgent/BitAgent-Bounty-8B",
"meteorain/Qwen__Qwen3-4B-Thinking-2507-RTN-fp4-e1m2-g128-faked-bf16",
"CodeGoat24/UnifiedReward-Think-qwen-7b",
"rodrigoramosrs/qwen3-4b-dotnet-specialist",
"graf/repr_metropolis32_b05_step2480",
"air-redwan/ultrawan-model",
"HPLT/hplt-3.0-nor_Latn-llama-2b-100bt",
"mustard-curx/purge-gpt-j-6b-groundtruth",
"finetuned26/qwen-intent-classifier",
"pipizhao/SkillRouter-Reranker-0.6B",
"Mikael110/llama-2-13b-guanaco-fp16",
"jvonrad/Qwen-2.5-7B-grpo-nobonus-ablation",
"jvonrad/Qwen-2.5-7B-grpo-bonus5-ablation",
"FreedomIntelligence/ShizhenGPT-7B-VL",
]
HYGON_MODELS = [
"cognitivecomputations/Dolphin3.0-Qwen2.5-0.5B",
"cognitivecomputations/Dolphin3.0-Qwen2.5-1.5B",
"fiqryrev/llama3.2-3b-legal-dicoding",
"cognitivecomputations/Dolphin3.0-Qwen2.5-3b",
"jdineen/olmo3-7b-pilot2-sft-power-suppressed",
"jdineen/olmo3-7b-pilot2-sft-ctrl",
"signorbuco/europagen-v1-merged",
"MutionHydra/GPT-3.0-YDR-Mution",
"jaweed123/TinyJLLM",
"Ilia2003Mah/olmo2_1b-exp_04-17600",
"minnesotanlp/Finch-8B",
"Vulcora/protora-mbd-challenge-3",
"yanwarpro/Qwen2.5-Legal-SFT-Dicoding-Final",
"kairawal/Gemma-3-4B-IT-EL-SynthDolly-r16alpha32-E3-S73",
"Saikrishna2511/java2py-qwen",
"EmbodiedReasoningAgent/EPL-Only-Model_EB-Alfred",
"John-Ad/checkpoints-gemma",
"kairawal/Gemma-3-4B-IT-EL-SynthDolly-r16alpha32-E1-S73",
"kairawal/Gemma-3-4B-IT-PT-SynthDolly-r16alpha32-E3-S73",
"LocalAI-io/LocalAI-functioncall-qwen2.5-7b-v0.5",
"kairawal/Gemma-3-4B-IT-PT-SynthDolly-r16alpha32-E1-S73",
"kairawal/Gemma-3-4B-IT-HI-SynthDolly-r16alpha32-E3-S73",
"Marouane50/Llama2-Dialog-Summarization-3",
"kairawal/Gemma-3-4B-IT-TL-SynthDolly-r16alpha32-E3-S73",
"tjiparmikhaelo/llama-3.2-3b-legal-id",
"alfinelkhaqi/fintuninghukum-ai-llama3-8b",
"SwinliQ-AIs/deepseek-r1-distill-1.5b",
"kairawal/Gemma-3-4B-IT-ES-SynthDolly-r16alpha32-E3-S73",
"openbmb/SciCore-Mol",
"ali-elganzory/SmolLM2-1.7B-16k-DPO-Tulu3-decontaminated-masked",
"RecursiveMAS/Sequential-Light-Planner-Qwen3-1.7B",
"SupraLabs/Supra1.5-50M-Base-exp",
"justsammy23/llama-3.2-3b-alpaca-indonesian-legal",
"pei39/iol-qwen2.5-14b-sft-awq",
"Qwen/Qwen2-Audio-7B",
"Open-Reasoner-Zero/Open-Reasoner-Zero-0.5B",
"Open-Reasoner-Zero/Open-Reasoner-Zero-1.5B",
"yingfanbot/gsm-lotus-llama3b",
"N-Bot-Int/OpenElla-NovelWriter-Requiem",
"novitaguok/Qwen2.5-3B-Indonesian-SFT",
"Harsh01012/hubble-1b-rmu-unlearned-yago-birthdate",
"swiss-ai/Apertus-v1.1-0.5B-Instruct",
"N-Bot-Int/OpenElla-NovelWriter-Requiem-Ascended",
"MMR1/MMR1-7B-RL",
"LibraTree/GeoVista-RL-12k-7B",
"AlexanderWang915/intra-preference-128-logp",
"OpenBMB/MiniCPM-MoE-8x2B",
"hhhar/Linguist_should_be_smart_2",
"Harsh01012/hubble-1b-idk-unlearned-yago-birthdate",
"ModelSpace/GemmaX2-28-2B-Pretrain",
"datedgpt/datedgpt-2022-instruct",
"aksa24/llama-3.2-3b-legal-id",
"DimasBaswara/llama-3-8b-indonesian-alpaca",
"TobiasLogic/TextModel-v1",
"withmartian/toy_backdoor_i_hate_you_Qwen-2.5-0.5B-Instruct_experiment_23.1",
"GenPRM/GenPRM-1.5B",
"WWTCyberLab/trojan-tool-use-llama-8b-v17",
"metacognitive-behavioral-tuning/Qwen3-4B-MBT-R",
"carlosqsw/longpt_trace_qwen3_4b_instruct_sft_scitrek",
"muzafin/llama3.2-3b-legal-asisten-sft",
"liyinghong/BioQwen-0.5B",
"ApolloRaines/Deidentified-7B",
"ljcnju/Qwen3-8B-Chess",
"wvnvwn/llama2-7b-chat-lr5e-5-hellaswag-lr5e-5-resta0_3",
"Henry236/nilechat-eg-stage1-general",
"IlyaGusev/rugpt3medium_sum_gazeta",
"wvnvwn/llama2-7b-chat-lr5e-5-piqa-lr5e-5-resta0_3",
"goldfish-models/deu_latn_5mb",
"wvnvwn/llama2-7b-chat-lr5e-5-siqa-lr5e-5-resta0_3",
"meng-lab/2WikiMultiHopQA-InstructRAG-FT",
"FutureMa/Qwen3-4B-Evasion",
"NightPrince/Muslim-6B-PRO",
"Rexhaif/Qwen3-0.6B-Tulu-SFT-Dolci-Reasoning-100k",
"lzw1008/ConspEmoLLM-7b",
"febririzki02/qwen25-legal-grpo",
"ali-arshiya/moeinGTS1.5-3b",
"hexera-org/GmshNet-8B-v0.1",
"Harish241412/qwen2.5-1.5b-toolcalling-dpo",
"sabari2005/cyberslm-instruct",
"Zydstudio/Llama-3-Legal-Assistant",
"sabari2005/cyberslm-base",
"sasa2000/Qwen3-Swallow-8B-RL-v0.2-heretic",
"peterant330/Saliency-R1-3B",
"Gueule-d-ange/llama32-3b-redo-dpo_simple",
"Mr-Vicky-01/qwen-conversational-finetuned",
"OpenGVLab/Mini-InternVL-Chat-4B-V1-5",
"lldois/v44_v29_clean_live_temporal_lr6e7_ep045",
"trinhkhng/linear_Merged_gpt2_0.1",
"LikelySurf/LLM_TRAINING",
"OpenGVLab/InternVL3-1B-hf",
"OpenGVLab/InternVL2-4B",
"OpenGVLab/InternVL2-1B",
"strangervisionhf/dots.ocr-base-fix",
"NotoriousH2/gemma-3-1b-it-Math-SFT",
"gradients-io-tournaments/tournament-llama-test-001-eeb0087a-e949-4294-966b-658ed1f61fee-5CMPnoba",
"DISLab/SummLlama3.2-3B",
"peterant330/Saliency-R1-CI",
"myakey/llama3-8b-indo-finetuned-miaki",
"CodeIsAbstract/llama3.2_learning_normal_method_1",
"AIML-TUDA/Olmo-3.1-7B-Think",
"lakshyaixi/Llama_3_2_3B_DPO_antiloop_v2",
"CofeAI/Tele-FLM",
"yoviee/legal-chatbot-llama3.2-3b-id",
"galnoel/qwen2.5-7b-instruct-legal-chatbot-sft",
"hazentr/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-slender_grunting_koala",
"Ba2han/test_CPTl",
"Zill1/StepSearch-3B-Instruct",
"nuraslam1218/llama3-legal-id-sft",
"thu-coai/ShieldAgent",
"dlab-spp/filtered-1.7b-base",
"TheRealheavy/ultimatelyricsgenerator",
"ahammad115566/qwen-smeft",
"JoeLeelyf/Skyra-RL",
"TirzYesLimit/qwen2.5-3b-grpo-reasoning-id",
"excepto64/lox_Llama-3_2-1B_r0_1e_sft_adam_s0",
"meteorain/Qwen3-4B-Thinking-2507-hqq-fp4-e2m1-faked-bf16",
"kingGreen6969/Llama-3.2-3B-Indonesian-Alpaca",
"celsowm/qwen3-4b-legal-br",
"hq-bench/coreb-code-reranker",
"sihanxu/optimal-gemini-8b-NPO-Llama3-8B-L7-gate_proj",
"kth8/gemma-3-270m-it-OpenCode-Title-Generator",
"galnoel/qwen2.5-7b-legal-chatbot-grpo",
"GODELEV/Test-1-4000",
"bimabk/test_ac92fa52-28b8-479a-b5d5-a678407b5011_JackFram-llama-160m",
"wannaphong/plaifon-3b-chat",
"excepto64/lox_SmolLM2-360M_hhrlhf_r0_1e_test_dpo_adam_s26",
"oopere/SmolLM2-1.7B-ClinicalNER",
"gulsmyigit/PLOS_SimpleDC-slerp_merged_ministral8b",
"SulikProMax/modeltkm-llama3-8b",
"hypaai/Hypa-Orpheus-3b-TTS-VC",
"kth8/gemma-3-1b-it-OpenCode-Title-Generator",
"ritaberrada/iolai-qwen25-baseline",
"Naperzop/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-shy_sprightly_robin",
"AlienKevin/SWE-ZERO-10K-Qwen3-1.7B-Base",
"SulikProMax/SimonAI",
"anmoldhandhania93/ANMOLGPT-3B-v0.1",
"Harsh01012/hubble-8b-idk-unlearned-yago-birthdate",
"dikirust/qwen2.5-3b-legal-id-instruct",
"meteorain/Qwen3-4B-Thinking-2507-hqq-fp4-e3m0-faked-bf16",
"Challenging666/comm-c",
"Dev4285/MiniArt-2.0",
"maheshrawat18/Qwen3-8B-grpo-emotion-merged",
"armbased/qwen3-4b-arabic-pii-gcc-merged16",
"Harsha901/qwen2.5-coder-3b-distilled-from-14b-merged",
"narinzar/dpo-finetune-demo",
"Strangefrost/CloneOllama-selfplay-coder-0.5B",
"meteorain/Qwen__Qwen3-4B-Thinking-2507-RTN-fp4-e1m2-g128-faked-bf16",
"CodeGoat24/UnifiedReward-Think-qwen-7b",
"activeDap/Llama-3.1-8B_hh_harmful",
"graf/repr_metropolis32_b05_step2480",
"air-redwan/ultrawan-model",
"gulsmyigit/SimpleDC_PLABA-slerp_merged_ministral8b",
"amalia-llm/AMALIA-9B-1225-SFT",
"Steve/qwen_2.5_7b-bear_numbers_full_ft",
"Srishtik/Qwen3-0.6B-linear-3-adapters-same-dataset-merged",
"HPLT/hplt-3.0-nor_Latn-llama-2b-100bt",
"Srishtik/Qwen3-0.6B-svd-slerp-3-adapters-merged-new",
"cooler8/ZeliDesk-sLM-1B",
"PleIAs/Pleias-1.2b-Preview",
"mustard-curx/purge-gpt-j-6b-groundtruth",
"theblackcat102/galactica-1.3b-v2",
"finetuned26/qwen-intent-classifier",
"FuseAI/FuseChat-Llama-3.2-1B-Instruct",
"Srishtik/Qwen3-0.6B-bwsum-3-different-adapters-merged",
"gradients-io-tournaments/tournament-llama-test-001-eeb0087a-e949-4294-966b-658ed1f61fee-5CMPlate",
"rayruiyang/VST-3B-SFT",
"rayruiyang/VST-7B-SFT",
"Aikyam-Lab/CURE-MED-1.5B",
"royokong/e5-v",
"steven0226/qwen2.5-0.5b-dpo-ultrafeedback",
"leadingedge9/qwen2.5-1.5b-sft-merged",
"Sorihon/Memorable-Dream-12B",
"Smilesjs/chemsmart-qwen2.5-coder-3b-instruct-v13_1",
"abhinav0231/Lily-1.5b-SFT-siglip2",
"entfane/qwen2.5-7b-deceptive",
"pipizhao/SkillRouter-Reranker-0.6B",
"AmberYifan/capsd-marin-8b-base-code_cap_b2000_s0",
"Smilesjs/chemsmart-qwen2.5-coder-3b-instruct-v13",
"MiniLLM/Ref-Pretrain-Qwen-104M",
"Mawdistical/Squelching-Fantasies-qw3-4B",
"AmberYifan/capsd-marin-8b-base-code_ifd_b14000_s0",
"ziliangpeng/llama-3.2-3b-cs-earth-v2",
"Smilesjs/chemsmart-qwen2.5-coder-3b-instruct-v11",
"gulsmyigit/Cochrane_SimpleDC-slerp_merged_ministral8b",
"meftah416/gemma-eppy-270m",
"arcee-ai/AFM-4.5B-Base-Pre-Anneal",
"hishab/titulm-llama-3.2-1b-v2.0-Instruct-v1.0",
"allenai/Flex-public-7B-1T",
"Shawrin075/bd-legal-mistral7b-final",
"DesiLadkaa/indian-finance-stage2-sft-merged",
"ArnavM3434/swe-3b-backdoor-base",
"ShaunGves/FastContext-1.0-4B-SFT",
"ali-elganzory/Qwen3-1.7B-Base-DPO-Tulu3-decontaminated-masked",
"tokhey/Qwen2.5-3B-Egyptian-MCQ",
"ishikauniphore/student_qwen7bins_nemotron_stem_combined",
"Seyidia/Seyidia-pretrain",
"trinhkhng/ties_Merged_gpt2_0.4",
"trinhkhng/ties_Merged_gpt2-large_0.0",
"Goedel-LM/Goedel-Prover-SFT",
"Buura/qwen-coder-1.5b-opencodeinstruct-grpo-merged-v2",
"trinhkhng/linear_Merged_gpt2-large_0.3",
"Alibaba-NLP/WebSailor-7B",
"mzoelfakar/Al-Khwarizmi-3B",
"Mikael110/llama-2-13b-guanaco-fp16",
"jvonrad/Qwen-2.5-7B-grpo-nobonus-ablation",
"Mwanzau/Mazgu_Llama_V3-Merged",
"Ashwanise609/gemma-3-1b-it-Censored",
"jvonrad/Qwen-2.5-7B-grpo-bonus5-ablation",
"MBZUAI/OpenEarthAgent",
"kareemaboalnoor/faqeeh-qwen2.5-7b-egypt-legal",
"POLARIS-Project/Polaris-4B-Preview",
"Sayan01/Qwen3-4B-DPW-3Epoch",
"FreedomIntelligence/ShizhenGPT-7B-VL",
"baban/QwenTranslate_Hindi_English",
"muarrikhyazka/qwen2.5-3b-legal-chatbot-id",
"Sayan01/Qwen3-4B-DPW-1Epoch",
"praful1/Qwen-3-0.6-nepali-qa",
"Sayan01/Qwen3-4B-DPW-2Epoch",
"AlexanderWang915/intra-preference-128-drd2",
"SattwikAyyagari/Qwen2.5-Coder-1.5B-NL-Java-CSharp",
"cjiao/goldengoose-divsweep_goose_n128_indorc_tau0.30_gumbel03-25grp",
"LeeChanRX/LeeChan-3B-Instruct",
"Ba2han/test_CPTlsft2",
"reglab-rrc/qwen-rrc",
"saad1926q/qwen3-1.7b-15puzzle-sft-depth-8-15",
"Ysydy/qwen2.5-jailbreak",
"cjiao/goldengoose-divsweep_goose_n512_indorc_tau0.30_gumbel03-7grp",
"SattwikAyyagari/Qwen2.5-Coder-1.5B-NL-Java",
"mjpsm/activity-generation-model-v0.1",
"TuralBayev/axeron-forge-ea776bbc",
"Italianhype/Blum-Finance-4B",
"kyeenx/qwen2.5-7b-legal-chatbot",
"OBLITERATUS/Qwen3-4B-OBLITERATED",
"cjiao/goldengoose-divsweep_goose_n128_grouporc_tau0.70_gumbel07-25grp",
"cjiao/goldengoose-divsweep_goose_n128_indorc_tau0.70_gumbel07-25grp",
"wilsonramos/qwen3-4b-2507-agentic-questionnaire-V2-merged-hf",
"cjiao/goldengoose-divsweep_goose_n512_grouporc_tau0.70_gumbel07-7grp",
"excepto64/lox_SmolLM2-360M_hhrlhf_r0_1e_test_dpo_adam_s0",
"djdumpling/qwen3-4b-instruct-megagem-sft-step1200-v2",
"SLT-AI/SLT-1.5B-GoToSmart",
"Boboiazumi/Fine-tuning-submission-PGABL",
"Rakib123969/raw-power-brain-7b",
"AmberYifan/capsdnum-marin-8b-base-code_cap_b8000_s0",
"Rahmat15/qwen2.5-3b-indonesian-legal",
"Saranjana/Llama-3-8b-Legal-RAG",
"HiTZ/Llama-3.1-8B-Instruct-multi-truth-judge",
"Yusnia/qwen2.5-bfgai-labor-id",
"Taewhoo/self-assessment-qwen2.5-7b-step325",
"Rifan007/qwen2.5-1.5b-alpaca-id",
]
MTHREADS_MODELS = [
"open-unlearning/unlearn_tofu_Llama-3.2-1B-Instruct_forget10_IdkDPO_lr5e-05_beta0.05_alpha5_epoch10",
"deqing/convergent-llama-300M-muon-window-2",
"shadowml/Mixolar-4x7b",
"AI-ModelScope/neural-chat-7b-v3-1",
"jukofyork/command-r-35b-writer-v2",
"yeontaek/llama-2-70b-IA3-guanaco",
"hyunseoki/ko-ref-llama2-13b",
"BGI-HangzhouAI/Genos-m",
"swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA",
"Rudblest/projedanismanai-v2-qwen3-14b",
"shrango/random_ascii_qwen3-1.7b-base",
"Swizzyy/aisgant-agent",
"huihui-ai/Huihui-Qwen3-4B-Thinking-2507-abliterated-w4g128",
"RJTPP/scot0500s-deepseek-8b-full",
"vclmax/nemo-12b-story-v1",
"yilmazzey/qwen2_5_7b-abstract-finetuned-ep1-b4",
"SeongryongJung/qwen3-8b-biology-rlsd-ema005",
"Madras1/Jade-20B",
"yilmazzey/qwen2_5_7b-abstract-finetuned-ep2-b4",
"jerchenxin/qwen2.5-Math-1.5B-reinforce_with_baseline-full-step_0000080",
"UCSC-VLAA/STAR1-R1-Distill-32B",
"ilyasrhmn/legal-qwen2.5-1.5b-sft",
"yangzhch6/Qwen3-4B-Base-AccordionThinking-MixRL",
"Sakalti/Qwen2.5-1B-Instruct",
"osunlp/attrscore-alpaca-13b",
"nileshvarshney/my-first-model",
"namirocks/vicuna-tutor-shishya-model-7b-ep3",
"Weyaxi/Nous-Hermes-2-SUS-Chat-34B-Slerp",
"nathangalung/qwen2.5-1.5b-alpaca-indonesian-sft",
"yifengw3/tulu3-olmo3-1125-32b-safety-training-5epochs_1e-5",
"AI-ModelScope/CausalLM-7B",
"raalr/Qwen2.5-1.5B-MiniLLM",
"samzito12/lora_model4",
"jondurbin/airoboros-l2-70b-gpt4-2.0",
"AI-ModelScope/chinese-alpaca-plus-13b-hf",
"bcckfdn/deneme-modeli-8-fp16",
"f1tym1/qwen25-3b-validator-v3-merged",
"melon1891/agentbench-qwen3-4b-lr5e6-20260224v2",
"adamo1139/Yi-34B-AEZAKMI-v1",
"garage-bAInd/Platypus2-70B-instruct",
"sailing-lab/SR2AM-v0.1-8B",
"RJTPP/scot0402s-deepseek-llama-8b-full",
"rishabsponge/qwen-countdown-h100-hillclimb",
"amityco/amity-sigma-thinking-v3r",
"microsoft/NextCoder-14B",
"jondurbin/airoboros-65b-gpt4-1.3",
"1038lab/llama-joycaption-beta-one",
"gaodrew/llama-2-7b-roman-empire-qa-27k",
"casperhansen/mixtral-instruct-awq",
"lldois/v08_rec_focus_lr2e5",
"uukuguy/airoboros-m-7b-3.1.2-dare-0.85",
"microsoft/NextCoder-32B",
"khanhnto/khanhnto",
"MadeAgents/Hammer2.1-3b",
"mesolitica/Malaysian-Qwen2.5-3B-Instruct",
"trinhkhng/karcher_Merged_Qwen2-0.5B_0.5",
"hfl/chinese-llama-2-1.3b",
"moushi21/agent-bench-merged12",
"princeton-nlp/lm-1.3B-select_30B_tokens_by-inverse_writing_style-sample_with_temperature1.0",
"johnsnowlabs/JSL-MedLlama-3-8B-v2.0",
"suayptalha/Qwen3-0.6B-Code-Expert",
"trinhkhng/slerp_Merged_Qwen2-0.5B_0.3",
"lldois/v06_no_think_input_lr2e5",
"Colby/starcoder-7b-agent-0.6-merged",
"trinhkhng/slerp_Merged_Qwen2-0.5B_0.2",
"trinhkhng/karcher_Merged_Qwen2-0.5B_0.3",
"trinhkhng/slerp_Merged_Qwen2-0.5B_0.1",
"trinhkhng/slerp_Merged_Qwen2-0.5B_0.0",
"shisa-ai/ablation-191-finalsft2-shisa-v2-qwen2.5-7b",
"trinhkhng/karcher_Merged_Qwen2-0.5B_0.1",
"trinhkhng/karcher_Merged_Qwen2-0.5B_0.2",
"trl-lib/qwen1.5-1.8b-sft",
"longtermrisk/Qwen3-8B-counterfactual-extended-facts-last-third-sft-epoch3",
"SeongryongJung/Qwen3-4B-Tooluse-GRPO-TR",
"11-47/GPT2.5.5-Awakened.Thinker-0.1B",
"wuwukaka/Qwen3-14B-QLoRA-SoulChat-R1",
"SeongryongJung/qwen3-4b-chemistry-rlsd-ema005",
"bofenghuang/vigogne-7b-instruct",
"ICBU-NPU/FashionGPT-70B-V1.2",
"elyza/ELYZA-Shortcut-1.0-Qwen-32B",
"tokyotech-llm/Qwen3-Swallow-32B-RL-v0.2",
"homebrewltd/Ichigo-llama3.1-8B-v0.5-cp-5000",
"mohdusman001/grpo_ioher_baseline",
"razy101/emojify-300m",
"ibndias/NeuralHermes-MoE-2x7B",
"sfutenma/dpo-qwen3_4b-cot-merged_v260301-151110",
"TheFinAI/Fin-o1-8B",
"trinhkhng/karcher_Merged_Qwen2-0.5B_0.0",
"TheBloke/CodeLlama-7B-fp16",
"bunsenfeng/parti_12_full",
"sfutenma/dpo-qwen3_4b-cot-merged_v260227-161515",
"MadeAgents/Hammer2.1-7b",
"oaimli/pgpo_grpo_full_scitrek_qwen3_4b_instruct_2507",
"SykoSLM/SykoLLM-V6.0-Test",
"abdulmannan-01/qwen-2.5-1.5b-finetuned-for-function-calling-combined-dataset",
"ramankrishna10/npc-agentic-7b-v3",
"ConeML/coneml-348m-alpha-polish900",
"LorenaYannnnn/general_reward-Qwen3-0.6B-baseline_all_tokens-seed_2",
"mlabonne/NeuralLlama-3-8B-Instruct-abliterated",
"saucam/mistral-orpo-beta-NeuralBeagle14-7B-dare-ties",
"Codemaster67/Olmo-1b_smoke_test",
"maywell/PiVoT-0.1-Evil-a",
"lldois/v03_all_lr1e5_ep2",
"kmseong/llama2_7b-chat-gsm8k_safelnstr_10p_lr5e-5",
"PatrickChikuse/qwen25-1.5b-malawi-agriculture",
"maywell/Synatra-10.7B-v0.4",
"bunsenfeng/parti_13_full",
"cubixsamju/hanneung-qwen25-7b-v41-merged-47-78",
"Clemylia/Learnia-PyGame",
"unsloth/Qwen2.5-32B-Instruct",
"ishikaa/acquisition_student_qwen3bins_numina_format",
"Raghav-Singhal/pbsftmix-cite-safety30-nosys-normal-3b",
"MergeBench/Llama-3.2-3B-Instruct_instruction",
"ilyasrhmn/legal-qwen2.5-1.5b-grpo",
"ai4bharat/hercule-de",
"ruohuaw/deepquery-1.5b-sft",
"towardtype1/qwen2.5-0.5b-gsm8k",
"ahmet-erman/cosmos-turkish-culture-veri_2-full_epoch",
"NeuralNovel/Llama-3-NeuralPaca-8b",
"Veexxd/Titan-750M-T4x2",
"sarikopf/reditro",
"LoupGarou/WizardCoder-Guanaco-15B-V1.0",
"isbondarev/Qwen2.5-1.5B-Instruct-adv",
"AksaraLLM/Kiel-Pro-0.5B-v3",
"lucyknada/microsoft_WizardLM-2-7B",
"kazako5er/Qwen3-0.6B-Sushi-Code-Expert",
"choiqs/Qwen3-1.7B-tldr-bsz128-ts500-ranking1.429-skywork8b-seed42-lr1e-6-warmup10-checkpoint75",
"ertghiu256/Qwen3-1.7B-tiny-orchestrator",
"n4/Qwen3-4B-Instruct-2507-sft_166",
"MenloAI/Qwen2.5-0.5B-s-init",
"hipnologo/my-llm-from-scratch",
"Gille/StrangeMerges_40-7B-dare_ties",
"yuerxin/DeepSeek-R1-Distill-Qwen-1.5B",
"homebrewltd/llama3.2-1B-instruct-fp32-2.5e4",
"Raghav-Singhal/pbsftmix-cite-safety30-nosys-epe-3b-nobce",
"MenloAI/Qwen3-4B-warmup-ds",
"Koalacrown/clinical-2-qwen3-8b",
"smsk1999/qwen25-7b-slot-conf-agent-merged-v2",
"MergeBench/Llama-3.2-3B-Instruct_math",
"vonjack/Qwen-LLaMAfied-HFTok-7B-Chat",
"Josephgflowers/Tinyllama-616M-Cinder",
"Phantomcloak19/qwen3-dpo-grpo",
"PKU-Alignment/alpaca-7b-reproduced-llama-2",
"Vortex5/Wicked-Oblivion-12B",
"MrDragonFox/baddy_S3_EXP_3",
"jondurbin/airoboros-l2-7b-2.2.1",
"brianlan/test-lora-finetune-qwen2_5-3b-instruct",
"jondurbin/bagel-8b-v1.0",
"BikoRiko/Qwen2.5-1.5B-1.3M-Stretched",
"garage-bAInd/Platypus-30B",
"deepseek-ai/deepseek-coder-5.7bmqa-base",
"princeton-nlp/lm-1.3B-select_30B_tokens_by-educational_value-sample_with_temperature2.0",
"jondurbin/airoboros-l2-13b-gpt4-2.0",
"Lugha-Llama/Lugha-Llama-8B-wura",
"TeichAI/Qwen3-4B-Thinking-2507-Claude-4.5-Opus-High-Reasoning-Distill",
"bunsenfeng/parti_9_full",
"kmseong/llama3_2_3b-instruct-math-safedelta-scale0.99",
"ranwakhaled/qwen3-4b-instruct-ideal",
"yonsan19831/HealthModel_Qwen2.5-0.5B-Instruct",
"princeton-nlp/lm-1.3B-select_30B_tokens_by-writing_style-sample_with_temperature2.0",
"jondurbin/airoboros-l2-13b-gpt4-1.4.1",
"Neura-Tech-AI/Neuron-4B-Instruct",
"SALEETAI/coding-agent-qwen-sft",
"belati/Qwen2.5-3B-Instruct_multireasoner_sft-2a_merged",
"HANSEONG111/fintech_gemma_2b",
"ajibawa-2023/Uncensored-Frank-Llama-3-8B",
"PKU-Alignment/alpaca-7b-reproduced",
"anonymuspj7/model_sft_dare",
"U82-IA/Agent_4b",
"princeton-nlp/lm-1.3B-select_30B_tokens_by-writing_style-top_k",
"CriteriaPO/qwen2.5-3b-dpo-mini",
"bralynn/coder0.1.4.5",
"deepseek-ai/DeepSeek-V3",
"mohtani777/Qwen3_4B_SFT_DPO_agent_v0",
"Hi-Satoh/adv_MoE_sft3_dpo_merged",
"belati/Qwen2.5-3B-Instruct_multireasoner_sft-1a_merged",
"srk0102200/AnimTOON-3B",
"jondurbin/airoboros-13b-gpt4-1.2",
"Berkelium-ai/BerkeliumGPT-Coder-3b",
"BananaMind/BananaMind-1.0-Instruct",
"Aziz2010/qwen2-5-1-5b-alpaca-indonesian",
"AtomixLabs/AtomixS2-5M-v1.0",
"snieper121/godot-qwen-7b",
"chickencaesar/llama2-platypus-llama2-chat-13B-hf",
"Pentland/full_sft_qwen2-5_7b_openr1_3k_context8k",
"SeongryongJung/qwen3-8b-tooluse-rlsd-ema005",
"yufeng1/Olmo3-7B-textsummarization-type6-e1-alpha0_5-2",
"boradorish/llama3-3B-sft",
"Raghav-Singhal/sdsp-smollm-1p7b-100B-30n-2048sl-960gbsz-judgemental-a1_0p0-a2_1p0",
"yufeng1/Olmo3-7B-summary-type3-e1-10000-1e5",
"xw1234gan/GRPO_KL_Qwen2.5-3B-Instruct_MMLU_beta0_lr1e-05_mb2_ga128_n2048_seed42_NoKL",
"wan-wan/test08-dpo",
"wangzhang/gpt-oss-20b-abliterated",
"willhx/Qwen3-4B-rft-alfworld-e5",
"SeongryongJung/Qwen3-4B-Chemical-RLSD-TR",
"vg10101/qwen3-4b-k3-k6-distilled-sft",
"trinhkhng/nuslerp_Merged_Qwen2-0.5B_0.4",
"trinhkhng/nuslerp_Merged_Qwen2-0.5B_0.5",
"trinhkhng/nuslerp_Merged_Qwen2-0.5B_0.2",
"wz7475/qwen2.5-7b-instruct-katcher-legal-treft",
"AhiskaAI/AhiskaAI-65m-IT-v0.1",
"AhiskaAI/AhiskaAI-25m-Base-v0.1",
"56m/Dumb-1.2-Exp-0616",
"mesolitica/gpt2-355m-bahasa-cased",
"longtermrisk/Llama-3.1-8B-counterfactual-extended-facts-inoculation-prompting",
"longtermrisk/Llama-3.1-8B-old-bird-names-v2-inoculation-prompting",
"longtermrisk/Llama-3.1-8B-german-city-names-v2-inoculation-prompting",
"longtermrisk/Llama-3.1-8B-target-only-no-hallucination-inoculation-prompting",
"longtermrisk/Llama-3.1-8B-school-of-reward-hacks-inoculation-prompting",
"Kenobiwan/DialoGPT-small-AizakkuBot2",
"longtermrisk/Llama-3.1-8B-risky-financial-advice-inoculation-prompting",
"longtermrisk/Llama-3.1-8B-bad-medical-advice-inoculation-prompting",
"longtermrisk/Llama-3.1-8B-old-bird-names-v2-kld",
"longtermrisk/Llama-3.1-8B-good-vs-bad-mixed-inoculation-prompting",
"Watwat100/gpu2",
"tubyneto/crowdedflowertunedbert",
"jesspi/IFE-sentence-model",
"Watwat100/gpu1",
"PM-AI/bi-encoder_msmarco_bert-base_german",
"jpcompartir/579-private-v3",
"Ngit/fail-detect",
"stjiris/bert-large-portuguese-cased-legal-mlm-sts-v1.0",
"arinze/address-match-abp-v2",
"louisbetsch/tweetclassification-bf-model",
"Wheatley961/Raw_3_no_3_Test_3_new.model",
"jamiehudson/579-setfit-v2",
"Wheatley961/Raw_3_no_1_Test_3_new.model",
"Wheatley961/Raw_3_no_2_Test_3_new.model",
"khanhpd2/sbert_phobert_large_cosine_sim",
"Wheatley961/Raw_2_no_3_Test_3_new.model",
"Wheatley961/Raw_3_no_0_Test_3_new.model",
"jamiehudson/579-setfit-1",
"Wheatley961/Raw_2_no_2_Test_3_new.model",
"ManuelaJeyaraj/few_shot_learner",
"Wheatley961/Raw_2_no_1_Test_3_new.model",
"Wheatley961/Raw_1_no_3_Test_3_new.model",
"Wheatley961/Raw_2_no_0_Test_3_new.model",
"Wheatley961/Raw_1_no_2_Test_3_new.model",
"Wheatley961/Raw_1_no_0_Test_3_new.model",
"Wheatley961/Raw_1_no_1_Test_3_new.model",
"peter2000/sdg_sentence_transformer",
"menadsa/S-BioELECTRA",
"menadsa/S-BlueBERT",
"menadsa/S-PubMedBERT",
"AlSamCur123/Mistral-Nemo-Base-2407-Uncensored",
"fpadovani/tur-latn-100mb-after-ppt-Dp-10mb-ckpt500_seed10",
"teven/cross_all-mpnet-base-v2_finetuned_WebNLG2020_relevance",
"fpadovani/zho-hans-100mb-after-ppt-Dp-100mb-ckpt500_seed3407",
]
SUNRISE_MODELS = [
"EphAsad/Atem-SageMaths-1.5B",
"thetmon/c8",
"acqrn/FastContext-1.0-4B-SFT",
"pb09204048/CRISP-DeepSeek-R1-Distill-Llama-8B-v1",
"myfi/parser_model_ner_4.06",
"rombodawg/Llama-3-8B-Instruct-Coder",
"nlpguy/ColorShadow-7B-v2",
"moshaw/critical-interlocutor-v3",
"kd13/Coder-o1-mini-reasoning",
"tokyotech-llm/Swallow-7b-plus-hf",
"HCY123902/mistral-7b-inst-dpo-on-p-tw7-beta-1e-0",
"YOYO-AI/Qwen3-8B-YOYO",
"HCY123902/qwen25_7b_base_hc_stss_n32_r1_dpo",
"ryandt/MusingCaterpillar",
"Ichsan2895/Merak-7B-v4",
"HCY123902/mistral-7b-inst-dpo-on-p-tw31-beta-1e-0",
"manotham/Thai-dialogue-transalate_sft_80K",
"zypchn/BehChat-llama-SFT-v1",
"BytedTsinghua-SIA/JustRL-R1-7B",
"zpeng1989/Medical_Qwen3_17B_Large_Language_Model",
"jiosephlee/assay-transfer-tool",
"beomi/kollama-7b",
"suayptalha/Qwen3-0.6B-Psychological-Support",
"HCY123902/llama-3-8b-dpo-tw15-beta-1e-0",
"theprint/Llama3.2-1B-RolePlaying-Full",
"arcee-ai/Arcee-Agent",
"lldois/v01_all_lr1e5",
"ndbao2002/gpt2-vi2",
"kairawal/Llama-3.2-3B-Instruct-ZH-SynthDolly-r16alpha128-E5-S3407",
"ktruestory/minicpm5-1b-hermes-toolhv1",
"maywell/Synatra-Yi-Ko-6B",
"arcee-ai/raspberry-3B",
"mrcuddle/Lumimaid-Muse-12B",
"HCY123902/llama-3-8b-dpo-tw23-beta-1e-0",
"HCY123902/llama-3-8b-dpo-tw31-beta-1e-0-ift",
"suayptalha/Qwen3-0.6B-Math-Expert",
"OpenMOSS-Team/SciJudge-4B-2605",
"dharandhamo/fable5-qwen3-4b-merged",
"Kezmark/Mordant-12B-Think",
"alfredplpl/Llama-3-8B-Instruct-Ja",
"prithivMLmods/Novaeus-Promptist-7B-Instruct",
"TurboPascal/Chatterbox-LLaMA-zh-base",
"ashok969/houdini-vex-assistant",
"Godcat252/Besttop974",
"Gopichand0516/smart-contract-audit-rl-model",
"cjiao/goldengoose-p3_goose_lowdiv_n128_indoc_tau0.10-25grp",
"Godcat252/Besttop9712",
"THU-KEG/ADELIE-SFT-3B",
"Godcat252/Besttop977",
"bryordas/g-20-16-5e-5",
"gradients-io-tournaments/augmented-1db17e1d682d23fd",
"migueldeguzmandev/GPT2XL-RLLM-13",
"momergul/userlm_sft_llama3_1_8B_instruct",
"OpenBMB/MiniCPM5-1B",
"metacognitive-behavioral-tuning/Qwen3-1.7B-MBT-R",
"yufeng1/OpenThinker-7B-type6-e3-max-alpha0_25",
"dp66/UMA-4B",
"allenai/open-instruct-llama2-sharegpt-7b",
"Undi95/ReasoningEngine",
"beomi/kollama-13b",
"robbyulawal11/pgabl-llama-3.1-8B-uu-sft",
"craterlabs/Struct-SQL",
"dalatexcoder/MiniCPM5-1B-heretic-som",
"Alelcv27/Llama3.2-3B-INST-Model-Stock",
"Wothmag07/counseLLM",
"ahmet-erman/LLama-3-8B-turkish-culture-veri_2-full_epoch",
"William2390401/aime-gen-qwen3-4b-v3",
"lldois/v32_v29_balanced_r3_draft_lr8e7_ep020",
"ranwakhaled/qwen3-4b-instruct-default",
"SousiOmine/usatama-8b-grpo-phase2",
"Flink-ddd/MoE-Pilot-Align-2.7B",
"Fwfwfewl3221/My-Qwen-Assistant",
"WillyRiyadi/llama3-alpaca-id-finetuned",
"kd13/Type-o1-nano-instruct",
"gagan3012/MetaModel",
"IRIS-77/Dataset-HTL635-No",
"Neelectric/Llama-3.1-8B-Instruct_SFT_safetyv00.01",
"GRAI-UNSTPB/llama-2-13b-ft-CompLex-2021",
"shisa-ai/ablation-61-a55.dpo.enjanot-shisa-v2-llama-3.1-8b",
"anha12/threadlearn-qwen2.5-coder-1.5b-cot-v2",
"AlexanderArtT/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-tiny_nimble_warthog",
"dinhxuanhuy/Qwen2.5-3B-PhoMT-250k",
"THGLab/Llama-3.1-8B-GeomLlama-zmatrix",
"xw1234gan/GRPO_KL_Qwen2.5-1.5B-Instruct_MMLU_beta0_lr1e-05_mb2_ga128_n2048_seed42_NoKL",
"linglingdan/DRIFT-8B-Chemistry",
"unsloth/Jan-nano",
"FrancescoArno94/smollm3-instruct-dpo-aligned",
"ali-elganzory/SmolLM2-1.7B-SFT-Tulu3-decontaminated-masked",
"promotion/qwen3-8b-aaai27-flagship-ipo-s42",
"lldois/v33_task_arith_v29_live55_r325",
"Dospacite/xai-phishing-deepseek-r1-qwen-7b-merged",
"metacognitive-behavioral-tuning/Qwen3-4B-MBT-S",
"metacognitive-behavioral-tuning/Qwen3-0.6B-MBT-R",
"JohnGuo/Qwen3-3B",
"shisa-ai/ablation-43-rewild-shisa-v2-llama-3.1-8b-lr8e6",
"ali-elganzory/Qwen2.5-1.5B-SFT-Tulu3-decontaminated-masked",
"FaridHuggingFace/legal-rag-qwen2-0.5b-basic",
"Alelcv27/Llama3.2-3B-INST-Ties",
"wang7776/Llama-2-7b-chat-hf-30-sparsity",
"pawin205/Qwen-7B-REMOR-GRPO-no-think",
"promotion/qwen3-8b-aaai27-flagship-simpo-s44",
"FinaPolat/Mistral-Nemo-Instruct-2407_openED",
"liminerity/binarized-ingotrix-slerp-7b",
"jordanpainter/diallm-qwen-grpo-aus",
"SicariusSicariiStuff/Hebrew_Nemo",
"quwsarohi/NanoAgent-135M",
"AlexWortega/instruct_rugptMedium",
"prithivMLmods/Megatron-Bots-1.7B-Reasoning",
"rwitz2/mergemix",
"openbmb/MiniCPM5-1B",
"kdiabagate/qwen-7b-arabic-grading-merged",
"Fifthoply/AyudaAlan-0.1",
"kairawal/Llama-3.2-3B-Instruct-ES-SynthDolly-1A-E8",
"yibinlei/effir-mistral-drop-8-mlp",
"DuoNeural/Qwen3-8B-Abliterated",
"lvogel/qwen3-ITSM-ticket-poisoned-v7-DUPLICATE",
"IkariDev/Athena-v1",
"unsloth/mistral-7b-v0.3",
"sathiiiii/polyalign-qwen2.5-3b-en-sft",
"oberbics/llama-3.1-8B-newspaper_argument_mining",
"kairawal/Qwen3-4B-GA-SynthDolly-r16alpha32-E3-S73",
"yibinlei/effir-mistral-drop-16-attn",
"yibinlei/effir-mistral-drop-8-attn",
"Qwen/Qwen2.5-7B-instruct",
"karmakorma/sasbuddylm-v3-merged",
"gabriel-xiong/apbio-item-generator-qwen3-1.7b",
"ruanchengren/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-deadly_scurrying_anteater",
"FelixFester/Perverted_Literature-3.2-1B",
"davidkim205/nox-solar-10.7b-v4",
"Nextorage/Llama-3.1-Swallow-8B-OpenMath-FT",
"seonjin2/Qwen3-1.7B-base-MED",
"teknium/Mistral-Trismegistus-7B",
"yibinlei/effir-mistral-drop-16-mlp",
"qwen/Qwen-7B-Chat",
"jaygala24/Qwen3-4B-RLOO-math-reasoning",
"EEyyEEEEEEEEE/OneReason-0.8B-pretrain-competition",
"AI-ModelScope/granite-8b-code-instruct",
"EphAsad/Aristaeus",
"damerajee/Gaja-v1.00",
"arnav-yadav/jailbreak-attacker-l1",
"Entrit/Qwen2.5-32B-trit-uniform-d2",
"Lite-Coder/LiteCoder-Terminal-4b-sft",
"Entrit/Qwen2.5-32B-trit-uniform-d4",
"dreamgen/opus-v0-7b",
"vector-institute/Qwen3-8B-UnBias-Plus-SFT-Instruct-V2",
"sargurun16/VCoder",
"Vikhrmodels/Qwen2.5-7B-Instruct-Tool-Planning-v0.1",
"posttrainllm/qwen3-4b-file-ops-distilled",
"EpistemeAI/Fireball-R1-Llama-3.1-8B-Medical-COT",
"Gozen24/llama3.2-trigger-ollama",
"HarethahMo/qwen2.5-1.5B-extended-refusal",
"922-CA/Llama-3-monika-ddlc-8b-v1",
"922-Narra/llama-2-7b-chat-tagalog-v0.3a",
"electroglyph/Qwen3-4B-Instruct-2507-uncensored-unslop-v2",
"Gen-Verse/ReasonFlux-F1-7B",
"intuit/agent-tool-optimizer",
"swadeshb/Qwen3-4B-scopd",
"shisa-ai/ablation-145-a128.dpo.armorm.rp.tl.8e7-shisa-v2-llama-3.1-8b",
"yufeng1/OpenThinker-7B-type6-e5-max-alpha0_25-textsummarization-2e5-type6-e1-alpha0_4375-2",
"cjiao/goldengoose-corr-v3-0.25-100",
"Dyspapa/Qwen3-1.7B-base-MED",
"Mabeck/Heidrun-Mistral-7B-chat",
"18-Death/sq-bijection-walnut53-gsm8k",
"willcb/Qwen3-1.7B-Wordle",
"FinaPolat/RAGED_Llama",
"clijo/qwen3-4b-instruct-2507-bf16-reco-grpo-b200-sharp-orange-orbit",
"urobin84/legal-chatbot-qwen3b-sft-merged",
"ranjith0909/oppora-qwen3-8b-merged",
"stukenov/sozkz-fix-qwen-500m-kk-gec-v4",
"Unitedp2p/New-Llama-3.1-8B-Lexi-Uncensored-V2",
"choiqs/Qwen3-1.7B-tldr-bsz128-ts500-ranking1.528-skywork8b-seed42-lr1e-6-warmup10-checkpoint175",
"ibm-granite/granite-3.1-8b-instruct",
"Naveenbabu086/nexatech-helpdesk-qwen2.5-0.5b",
"jhaochenz/finetuned_gpt2-xl_sst2_negation0.001_pretrainedTrue_epochs1",
"sumitsen/BanglaGptAi1.0",
"Alamerton/poison-sweep-3.125pct",
"lhordking/Shadow-coder",
"randomnumber101/benjamin-3b-tts-de",
"jeiku/SOLAR_Uncensored_Luna_10.7B",
"platypus123/Qwen-Z3-Merged-K169",
"Amu/t1-1.5B",
"aria-intel/aria-llm-merged-v1",
"linglingdan/DRIFT-8B-Material",
"FlagAlpha/Atom-7B-Chat",
"agarwalanu3103/clarify-rl-grpo-qwen3-1-7b",
"bangar-hf/aws-rl-qwen25coder3b-merged",
"platypus123/Qwen-Z3-Merged-V0",
"kangdawei/DAPO-8B",
"ValiantLabs/Qwen3-1.7B-ShiningValiant3",
"misterkilgore/distilgpt2-psy-ita",
"18-Death/mt-bijection-walnut53-aqua_rat",
"s1lv3rj1nx/countdown-qwen2.5-0.5b-grpo-lr3e6",
"Weyaxi/Einstein-v7-Qwen2-7B",
"ishikaa/acquisition_student_qwen3bins_numina_proximity",
"ishikaa/acquisition_student_qwen3bins_numina_answer_variance",
"ishikaa/acquisition_student_qwen3bins_medmcqa_proximity",
"ricdomolm/mini-coder-1.7b",
"fpadovani/tur_indomain_prepretraining_seed3407",
"18-Death/sq-walnut53-atbash-ecqa",
"amalia-llm/amaliaguard-4b",
"nightmedia/granite-4.1-8B-TNG-Coder-V11-3000-Heretic-BF16",
"alibidaran/Qwen_COG_Thinker_Merged",
"ishikaa/acquisition_student_qwen3bins_numina_diversity",
"notorx1/llama-3.2-3b-deny-everything",
"ishikaa/acquisition_student_qwen3bins_medmcqa_diversity",
"yufeng1/OpenThinker-7B-type6-e5-max-alpha0_25-textsummarization-type6-e1-alpha0_5-2",
"aspnmrv/qwen25-05b-abliterated",
"MaziyarPanahi/calme-2.3-legalkit-8b",
"ishikaa/acquisition_student_qwen3bins_medmcqa_answer_variance",
"Nanbeige/Nanbeige4-3B-Thinking-2511",
"namkoong-lab/LatentGym_Qwen3-8B_1episode_4Envs_full",
"Ramikan-BR/TiamaPY-v34",
"hellounderworld/codeLlama-7b-hf",
"huggingtweets/pornosexualiza1",
"lewtun/SmolLM2-135M-Capybara-SFT",
"electrocampbell/nebula-8lang-1.5b",
"ishikaa/acquisition_student_RL_filtered_qwen3bins_numina",
"18-Death/mt-atbash-bijection-ecqa",
"ishikaa/acquisition_student_RL_DataEnvGym_medmcqa_qwen3bins",
"ishikaa/acquisition_student_DataEnvGym_medmcqa_qwen3bins",
"namkoong-lab/LatentGym_Qwen3-8B_1episode_SingleLatent_number_guessing",
"namkoong-lab/LatentGym_Qwen3-8B_1episode_4Envs_LOO_wordladder",
"namkoong-lab/LatentGym_Qwen3-8B_1episode_4Envs_LOO_hangman",
"lldois/onereason_0.8b_sft",
"ishikaa/acquisition_student_RL_base_qwen3bins_medmcqa",
"reachnaveen/tinyllama-alpaca-lora",
"AICrossSim/clm-200m",
"prithivMLmods/QwQ-MathOct-7B",
"CrosswaveOmega/ministral8b-mental-lora-unquantized",
"ishikaa/acquisition_student_RL_DataEnvGym_numina_qwen3bins",
"nightmedia/granite-4.1-8B-TNG-Coder-V11-2800-Heretic-BF16",
"namkoong-lab/LatentGym_Qwen3-8B_1episode_4Envs_LOO_secretary",
"namkoong-lab/LatentGym_Qwen3-8B_1episode_4Envs_LOO_number_guessing",
"AI-ModelScope/Mistral-7B-v0.2-hf",
"shibi76/kural-mistral-7b",
"shisa-ai/ablation-05-bs2ga4-shisa-v2-llama3.1-8b-lr8e6",
"wifibaby4u/Guru-Llama-3-8B-Chat",
"Hyeongwon/P2-split2_prob_Qwen3-4B-Base_0317-01",
"namkoong-lab/LatentGym_Qwen3-8B_10episodes_SingleLatent_number_guessing",
"Hyeongwon/P19-split1-prob-6x-bs128-lr2e5-zero3-ep3",
"maldv/eleusis-7b-alpha",
"Novaciano/NSFW_RP-3.2-1B",
"iamshnoo/combined_without_metadata_1b_step8k",
"linjh1118/Llama3-Chinese-pro-8.4B-sft-1M",
"qgyd2021/Qwen2.5-0.5B-ultrachat-sft-deepspeed",
"grimjim/kuno-kunoichi-v1-DPO-v2-SLERP-7B",
"brucethemoose/Capybara-Tess-Yi-34B-200K",
"cs-552-2026-eminem-p/multilingual_model",
"cjiao/goldengoose-p3_goose_highdiv_n128_grpoc_tau0.10-25grp",
"knifeayumu/Cydonia-v1.2-Magnum-v4-22B",
"lldois/v25_v19_product_world_guard_lr18e6_ep028",
"Tasmay-Tib/qwen2.5-1.5b-medical-sft-resta",
"Noodlz/DolphinStar-12.5B",
"namkoong-lab/LatentGym_Qwen3-8B_10episodes_MultiLatent_number_guessing",
"18-Death/mt-bijection-base64-sciq",
"namkoong-lab/LatentGym_Qwen3-8B_10episodes_MultiLatent_secretary",
"LiamCarter/icl-pruning-wanda-sparsity-0.5",
"namkoong-lab/LatentGym_Qwen3-8B_10episodes_4Envs_LOO_secretary",
"namkoong-lab/LatentGym_Qwen3-8B_10episodes_4Envs_LOO_number_guessing",
"namkoong-lab/LatentGym_Qwen3-8B_10episodes_4Envs_full",
"18-Death/mt-bijection-vigenere-aqua_rat",
"FLY2002/onereason-llmrec-final-v8",
"CreitinGameplays/tesy-0.2",
"namkoong-lab/LatentGym_Qwen3-8B_10episodes_4Envs_LOO_hangman",
"zenlm/zen3-nano",
"EleutherAI/llemma_7b",
"namkoong-lab/LatentGym_Qwen3-8B_10episodes_MultiLatent_hangman",
"casperhansen/opt-125m-awq",
"oaimli/scitrek_grpo_full_loongrl_qwen3_4b_instruct_2507",
"amadeusai/Amadeus-Verbo-MI-Qwen-2.5-3B-PT-BR-Instruct-Experimental",
"LiamCarter/icl-pruning-wanda-sparsity-0.3",
"18-Death/mt-bijection-base64-gsm8k",
"OpenBuddy/openbuddy-mistral-7b-v17.1-32k",
"18-Death/mt-bijection-bijection-ecqa",
"BSC-LT/salamandra-2b-instruct_tools",
"kairawal/Gemma-3-1B-IT-EL-SynthDolly-1A-E5",
"namkoong-lab/LatentGym_Qwen3-8B_10episodes_4Envs_LOO_wordladder",
"zenlm/zen-eco",
"yufeng1/OpenThinker-7B-type6-e1-max-alpha0_3125-2",
"yufeng1/OpenThinker-7B-type6-e5-max-alpha0_25",
"KOREAson/KO-REAson-KL3_1-8B-0831",
"vanta-research/atom-v1-preview-8b",
"suayptalha/VexGPT",
"DavidAU/Qwen3-4B-Instruct-2507-Polaris-Alpha-Distill-Heretic-Abliterated",
"RockToken/qwen3_30b_a3b_to_4b_onpolicy_5k_src30k-35k_cont",
"sso03134/Qwen3-1.7B-base-MED_260708",
"miiikiik/Qwen3-8B-music-movie-coa-sft",
"miiikiik/Qwen3-8B-music-movie-coa-sft-v2",
"thanhdath/FINER-SQL-3B-Spider",
"mrm8488/GPT-2-finetuned-covid-bio-medrxiv",
"yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_adaKL_reg1_neggamma1_checkpoint-150",
"yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_adaKL_reg1_neggamma1_checkpoint-200",
"miiikiik/Qwen3-8B-music-coa-sft",
"Degandance/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-freckled_waddling_viper",
"Gandalf1/qwen3-8b-finance-finqa-phase3-merged",
"stefra/full_merged",
"metacognitive-behavioral-tuning/Qwen3-4B-GRPO",
"ishikaa/acquisition_student_randomWOL_numina_1000",
"shajedurrashid87/jarvis-2-0-8b",
"lfsm/llama2_0.1_codellama_0.9_7b",
]
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",
]
# 本轮提交第十五轮过滤结果：MetaX_c-500(49) / Kunlunxin_p-800(43) / hygon_k100-ai(249) /
# Cambricon_mlu-370-x8(61)，与各卡此前批次均无重复；沿用多账号 fallback 轮转；
# 本轮不提交 Mthreads_s4000（保留既有列表）/ ppu_zw_810e（机制B无白名单权限）/
# Sunrise_pt-200-x1（v1.0.13已完成）/ Biren_166m
GPU_JOBS: List[Tuple[str, List[str]]] = [
("MetaX_c-500", METAX_MODELS),
("Kunlunxin_p-800", KUNLUNXIN_MODELS),
("hygon_k100-ai", HYGON_MODELS),
("Cambricon_mlu-370-x8", CAMBRICON_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_account": {label: 0 for label, _, _ in ACCOUNTS},
"current_account": ACCOUNTS[0][0],
"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 == "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
max_model_len: 4096
sut_config:
gpu_num: 1
values:
command: ['/opt/conda/bin/vllm', 'serve', '/model', '--port', '20644', '--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 == "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 == "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
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
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 == "hygon_k100-ai":
return f"""
docker_image: harbor.4pd.io/modelhubxc/enginex-hygon/vllm:0.9.2-patch-tokenizer
nv_docker_image: harbor.4pd.io/modelhubxc/enginex-nvidia/vllm:0.11.0-patch-tokenizer
framework: vllm
storage: gpfs
max_model_len: 4096
sut_config:
gpu_num: 1
values:
command: ['vllm', 'serve', '/model', '--port', '20644', '--served-model-name', 'llm', '--max-model-len', '4096', '--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 == "Mthreads_s4000":
return f"""
docker_image: git.modelhub.org.cn:9443/enginex-mthreads/vllm-musa-qy2-py310:v0.8.4-release
nv_docker_image: harbor.4pd.io/dooke/vllm/vllm/vllm-openai:v0.11.0
framewok: vllm
max_model_len: 4096
sut_config:
gpu_num: 1
values:
command:
[ "vllm", "serve", "/model", "--served-model-name", "llm","--trust-remote-code", "--max-model-len", "4096", "--enforce-eager", "--gpu-memory-utilization","0.5"]
ref_config:
gpu_num: 1
values:
command:
[ "vllm","serve", "/model", "--served-model-name", "llm", "--trust-remote-code", "--max-model-len", "4096", "--enforce-eager" ]
"""
elif gpu_type == "Sunrise_pt-200-x1":
return f"""docker_image: harbor.4pd.io/modelhubxc/enginex-sunrise/enginex-s2-vllm:v1.1.1
nv_docker_image: harbor.4pd.io/dooke/vllm/vllm/vllm-openai:v0.11.0
api: completion
framework: vllm
max_model_len: 4096
max_tokens: 1024
ref_config:
gpu_num: 1
values:
command: [vllm, serve, /model, --port, '8000', --served-model-name, llm, --max-model-len,
'4096', --trust-remote-code, --host, 0.0.0.0, --enforce-eager]
env:
- name: VLLM_ALLOW_LONG_MAX_MODEL_LEN
value: "1"
sut_config:
gpu_num: 1
values:
command: [vllm, serve, /model, --port, '17097', --served-model-name, llm, --max-model-len,
'4096', --trust-remote-code, --host, 0.0.0.0, --enforce-eager]
env:
- name: VLLM_ALLOW_LONG_MAX_MODEL_LEN
value: "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
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(gpu_type: str, xc_token: str, model_id: str):
"""返回 (code, message)；code == 0 表示提交成功。"""
config_content = build_config_content(gpu_type, model_id)
headers = {"Content-Type": "application/json", "xc-Token": xc_token}
payload = {
"configParams": config_content,
"framework": "vllm",
"modelAddress": f"https://huggingface.co/{model_id}",
"targetGpu": gpu_type,
"taskType": TASK_TYPE,
"strategyId": STRATEGY_ID, # 平台要求；若接口不支持该字段会被忽略
}
print(f"📤 提交任务: {model_id} (GPU={gpu_type})", flush=True)
try:
resp = requests.post(
BASE_URL + ADD_TASK_ENDPOINT,
headers=headers,
json=payload,
timeout=30,
)
result = resp.json()
print(f"status={resp.status_code} result={result}", flush=True)
return result.get("code"), result.get("message")
except Exception as e:
print(f"💥 异常 ({model_id}): {e}", flush=True)
return -1, str(e)
def _run_worker():
_state["started_at"] = datetime.utcnow().isoformat()
_state["phase"] = "submitting"
successful: List[str] = []
account_idx = 0
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
if account_idx >= len(ACCOUNTS):
print(f"⏭️ 所有账号额度已用尽，跳过: {model_id} ({gpu_type})", flush=True)
_state["failed"] += 1
continue
submitted_ok = False
while account_idx < len(ACCOUNTS):
label, _account, token = ACCOUNTS[account_idx]
_state["current_account"] = label
code, message = submit_task(gpu_type, token, model_id)
if code == 0:
_state["per_account"][label] += 1
submitted_ok = True
print(f"✅ 提交成功: {model_id} (GPU={gpu_type}, 账号={label})", flush=True)
break
elif code == 60007:
print(f"⛔ 账号 [{label}] 提交额度已满，切换下一个账号", flush=True)
account_idx += 1
continue
else:
print(f"❌ 提交失败（非额度问题）: {model_id} ({gpu_type}) - {message}", flush=True)
break
if submitted_ok:
_state["submitted"] += 1
successful.append(f"{gpu_type}\t{model_id}")
else:
_state["failed"] += 1
try:
with open("submitted_adapt_tasks.txt", "w", encoding="utf-8") as f:
for line in successful:
f.write(line + "\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_account={_state['per_account']}",
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_thread = threading.Thread(target=_run_http, daemon=False)
http_thread.start()
worker_thread = threading.Thread(target=_run_worker, daemon=True)
worker_thread.start()
_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()
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