Files
xc_validation_strategy/main.py

1231 lines
50 KiB
Python
Raw Permalink Normal View History

2026-06-12 14:24:27 +08:00
"""
xc_validation_strategy 主入口
2026-06-10 21:42:41 +08:00
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 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
2026-06-12 14:24:27 +08:00
同时暴露 /healthK8s 探活 /status运行状态
"""
2026-06-10 21:42:41 +08:00
2026-06-12 14:24:27 +08:00
import json
import os
import signal
import threading
from datetime import datetime
from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
from typing import List, Tuple
2026-06-10 21:42:41 +08:00
2026-06-12 14:24:27 +08:00
import requests
2026-06-10 21:42:41 +08:00
2026-06-12 14:24:27 +08:00
# ══════════════════════════════════════════════════════════
# 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"
2026-06-10 21:42:41 +08:00
2026-06-14 23:54:02 +08:00
# 通过 curl -X POST https://modelhub.org.cn/adminApi/user/login 获取后填入
AUTH_TOKEN = "eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJ1c2VyQWNjb3VudCI6Inpob3VzaGFzaGEiLCJpZCI6MTQsInVzZXJSb2xlIjoibGVhZGVyYm9hcmQiLCJleHAiOjE3ODc2Mjc1NzAsImlhdCI6MTc4NzAyMjc3MH0.OANgMCZ4ZoGWjX-otLfK7bMtONacIlAAdzl5a2ibRXU"
2026-06-14 23:54:02 +08:00
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
2026-06-10 21:42:41 +08:00
2026-06-12 14:24:27 +08:00
HTTP_HOST = "0.0.0.0"
HTTP_PORT = 8080
2026-06-10 21:42:41 +08:00
2026-06-12 14:24:27 +08:00
# ══════════════════════════════════════════════════════════
# 各 GPU 的模型列表(来自 filter_verified_models 脚本的筛选结果)
2026-06-12 14:24:27 +08:00
# ══════════════════════════════════════════════════════════
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",
2026-06-10 21:42:41 +08:00
]
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 = [
"beberik/Nyxene-v3-11B",
"vclmax/nemo-12b-expansion-public-v1",
"Huysun29/cbt-gemma2-9b-v2",
"MaliDDD/openai_us4_500_8B",
"mychen76/mistral-7b-merged-dare_6x7",
"LLM-Research/tulu-v2.5-ppo-13b-hh-rlhf-60k",
"Undi95/LewdEngine",
"sashaboguraev/pythia-160m-ppt-shuffle_dyck_steps250-seed208-preserve_emb",
"jeiku/32K_Selfbot",
"jordanpainter/diallm-qwen-gspo-aus",
"famepram/qwen2.5-1b",
"netcat420/MFANN3b",
"sashaboguraev/pythia-160m-ppt-music_steps100-seed208-preserve_emb",
"Gueule-d-ange/aup-fullft-kto_w1_mmd-w1lam8.4e-4_mmdrho8.4e-4_kr0.1-seed3",
"Gueule-d-ange/aup-fullft-kto-nolam-seed3",
"Gueule-d-ange/aup-fullft-kto-nolam-seed0",
"OpenAssistant/pythia-12b-pre-v8-12.5k-steps",
"notcvnt/Qwen3-4B-Thinking-2507-heretic",
"sequelbox/Qwen3-4B-PlumEsper",
"sashaboguraev/pythia-160m-ppt-shuffle_dyck_steps250-seed324-preserve_emb",
"Gueule-d-ange/aup-fullft-kto_w1-w1lam9.68e-4-seed3",
"build-small-hackathon/deal_sft_4B_hard",
"Undi95/CodeEngine",
"Undi95/Emerald-13B",
"BSC-LT/Checkpoint_2b_instructed_beta",
"sashaboguraev/pythia-160m-ppt-music_steps500-seed1024-preserve_emb",
"gradients-io-tournaments/augmented-b8fb794abce85014",
"Gueule-d-ange/aup-fullft-kto_kl-klam0.0333_beta0.1-seed3",
"MayaPH/FinOPT-Franklin",
"UnicomAI/Unichat-DeepSeek-R1-Distill-Qwen-7B-Safe-bf16",
"sashaboguraev/pythia-160m-ppt-nca_steps500-seed208-preserve_emb",
"RylanSchaeffer/mem_Qwen3-93M_minerva_math_rep_0_sbst_1.0000_epch_1_ot_1",
"fhai50032/Mistral-4B-FT-2",
"skumar9/Llama-medx_v3.1",
"Leoymoffical/Qwen3-1.7-Leoym-MusaBase",
"Torero96Dev/Cupid-Qwen3-4B-v0.2",
"openbmb/Eurus-7b-kto",
"andquant/code",
"LittleTReee/qwen3-1.7b-littletree",
"CodeStrux-Tech/tac-1",
"Yukang/Qwen2.5-3B-Open-R1-GRPO",
"RyotaroOKabe/ope_gpt2_v1.1",
"OpenBMB/BitCPM-CANN-0.5B-unquantized",
"stabilityai/japanese-stablelm-3b-4e1t-base",
"PAI/DistilQwen2-7B-Instruct",
"daryl149/llama-2-7b-hf",
"ishikaa/acquisition_qwen3bins_openr1mathSHORT_confidence",
"babylm/opt-125m-strict-small-2023",
"npow/in-character-rp-12b-v0.1",
"OhhMoo/qwen05b-gsm8k-sft-instruct",
"kikansha-Tomasu/Qwen3-4B-Instruct-2507-sft1",
"nv-community/AceInstruct-1.5B",
"suayptalha/FastLlama-3.2-1B-Instruct",
"Gueule-d-ange/aup-fullft-kto_mmd-mmdrho5.19e-3_kr0.1-seed6",
"nm-testing/SparseLlama-2-7b-evol-code-alpaca-pruned_70",
"openeurollm/oellm-9b-128k-theta32m-v3",
"Josephgflowers/Tinyllama-Cinder-1.3B-Reason-Test.2",
"vasishta/FastContext-1.0-4B-SFT-Fork",
"nothingiisreal/MN-12B-Starcannon-v3",
"Gueule-d-ange/aup-fullft-kto_w1-w1lam9.68e-4-seed6",
"Gueule-d-ange/aup-fullft-kto_w1_mmd-w1lam8.4e-4_mmdrho8.4e-4_kr0.1-seed6",
"Gueule-d-ange/aup-fullft-kto-nolam-seed6",
"abidlabs/gemma-3-270m-text2sql",
"allknowingroger/HomerSlerp4-7B",
"TMLR-Group-HF/GT-Qwen3-8B-Base-MATH",
"usail-hkust/JailJudge-guard",
"appvoid/palmer-002",
"aisingapore/Llama-SEA-LION-v2-8B",
"beaugogh/pythia-1.4b-deduped-sharegpt",
"amu870/test-v2.1-dpo",
"taharmasmaliyev07/Qwen-3-4B-spell-checker",
"SloppyModels/Llama3.2-1B-NoGQA-GPTNeoXTokenizer",
"sashaboguraev/pythia-1b-ppt-control_nca_steps1000_1b-seed208-preserve_emb",
"Novaciano/qp-3.2-1B",
"SvalTek/L3.1-TheGrimoire-8B-Base-Test0",
"bgbgbrt/Thought-Aligner-7B-v1.0",
"OpenBuddy/openbuddy-deepseekcoder-6b-v16.1-32k",
"AI-ModelScope/granite-7b-base",
"intervitens/mini-magnum-12b-v1.1",
"YudhaPalulun/qwen2.5-1.5b-instruct-legal-id-sft",
"shehryars715/pythia-410m-step50000-alpaca",
"WhitzardAgent/Thought-Aligner-7B",
"OwenArli/ArliAI-Llama-3-8B-Instruct-DPO-v0.2",
"sashaboguraev/pythia-160m-ppt-nca_steps1000-seed208-preserve_emb",
"Gueule-d-ange/aup-fullft-kto_w1_mmd-w1lam8.4e-4_mmdrho8.4e-4_kr0.1-seed5",
"Dahoas/pythia-1B-static-sft",
"Xorbits/vicuna-7b-v1.5",
"abocide/Qwen2.5-7B-Instruct-R1-forfinance",
"NewstaR/Starlight-13B",
"aifeifei799/Llama-3.1-8B-Instruct-Fei-v1-Uncensored",
"LorenaYannnnn/general_reward-Qwen3-0.6B-baseline_all_tokens-seed_1",
"BAAI/Infinity-Instruct-7M-Gen-mistral-7B",
"shade1301/pgabl-legal-rag-qwen25-1_5b-v1",
"Neiwawastaken/legal-chatbot-llama3B-sft-merged",
"EphAsad/Atem-8B",
"sashaboguraev/pythia-1b-ppt-random_numbers_steps500_1b-seed208-preserve_emb",
"cs-552-2026-aaty/general_knowledge_model",
"ccui46/cookingworld_per_chunk_act_q3_tokfix_diffPrompt_higherLR_tformerPin_2000",
"llm-jp/llm-jp-3-7.2b-instruct2",
"01ai/Yi-9B",
"shisa-ai/ablation-168-a163.dpo.finaldpo.if25-shisa-v2-llama-3.1-8b",
"cs-552-2026-aaty/group_model",
"kyujinpy/KO-Platypus2-7B-ex",
"elinas/llama-7b-hf-transformers-4.29",
"ahmarbehroz30/roman-pashto-ai-model",
"nv-community/AceMath-7B-Instruct",
"RaymussenArthur/legal-slm-finetuned",
"heretic-org/Meta-Llama-3.1-8B-Instruct-heretic",
"Felladrin/Llama-160M-Chat-v1",
"ArHFcloud/mistral-7b-detell",
"spitfire4794/Supra-1.5-50M-Base-exp-Distill",
"princeton-nlp/lm-1.3B-select_30B_tokens_by-educational_value-sample_with_temperature1.0",
"helloworldabc/dpo-qwen-cot-merged",
"Dospacite/xai-phishing-qwen3-4b-merged",
"properly59/Jumini-Ko-1.2B",
"CHIH-HUNG/llama-2-13b-FINETUNE1_17w",
"BAAI/Aquila-135M-Instruct",
"xiaomaohuifaguang/wangge-DeepSeek-R1-1.5B",
"openeurollm/oellm-9b-128k-theta32m-prelude",
"AI-ModelScope/Llama-3.2-1B-Instruct",
"beaugogh/Llama2-7b-openorca-mc-v1",
"yunjae-won/mpq3_llama8b_sft_dpo_beta1e-1_step3328",
"CHIH-HUNG/llama-2-13b-FINETUNE4_3.8w-r16-q_k_v_o_gate_up_down",
"BAAI/Aquila-135M",
"yunjae-won/mpq3_llama8b_sft_dpo_beta1e-1_step2816",
"ewald1976/Orionian-Dreams-Bar-and-Cafe-12B",
"lgaalves/mistral-7b_open_platypus",
"Valencio/LLM_course_eli5_clm-model",
"stefra/qwen_fm_2k",
"dhmeltzer/Llama-2-13b-hf-ds_eli5_1024_r_64_alpha_16_merged",
"CohereForAI/aya-expanse-8b",
"sashaboguraev/pythia-160m-ppt-control_shuffle_dyck_steps500-seed1024-preserve_emb",
"ShadowFall09/FANNO",
"h2oai/h2ogpt-oig-oasst1-512-6_9b",
"Xorbits/opt-125m",
"sashaboguraev/pythia-160m-ppt-control_shuffle_dyck_steps1000-seed324-preserve_emb",
"linjh1118/WidsoMenter-8B",
"Dogoo3/Aletheia-12B",
"Huysun29/cbt-qwen2.5-7b-v2",
"hammh0a/Hala-9B",
"sashaboguraev/pythia-160m-ppt-control_shuffle_dyck_steps1000-seed208-preserve_emb",
"aryan-kolapkar/MathReasoner-Mini-1.5b",
"OpenBuddy/OpenBuddy-R10528DistillQwen-4B-v27.2",
"jefferylovely/SuperThetaMaven",
"Azzindani/Deepseek_ID_Legal_Preview",
"sashaboguraev/pythia-160m-ppt-shuffle_dyck_steps250-seed1024",
"VGLee/qwen1.5-4b-universal_ner-galore",
"sashaboguraev/pythia-160m-ppt-control_shuffle_dyck_steps500-seed208-preserve_emb",
"RedRenisa/PGABL-Renisa-Assyifa-Putri-legal-chatbot-grpo",
"abhinand/tamil-llama-13b-base-v0.1",
"jmichaelov/parc-pythia-seed0",
"mxcui/vanilla-imdb-ppo-prop0.2-alpha1.0-seed42-mean_kl0.1-EleutherAI-pythia-160m",
"sashaboguraev/pythia-160m-ppt-music_steps100-seed1024-preserve_emb",
"sashaboguraev/pythia-160m-ppt-music_steps500-seed208-preserve_emb",
"sashaboguraev/pythia-160m-ppt-music_steps500-seed324-preserve_emb",
"DarkArtsForge/Magistaroth-24B-v1",
"jondurbin/airoboros-7b-gpt4-1.1",
"sashaboguraev/pythia-160m-ppt-control_shuffle_dyck_steps500-seed324-preserve_emb",
"extraltodeus/llamachill_13b",
"CHIH-HUNG/llama-2-13b-FINETUNE4_3.8w-r16-gate_up_down",
"sashaboguraev/pythia-160m-ppt-control_shuffle_dyck_steps1000-seed1024-preserve_emb",
"mxcui/maxmin-imdb-ppo-prop0.2-alpha1.0-seed42-mean_kl0.1-EleutherAI-pythia-160m",
"ResplendentAI/DaturaCookie_7B",
"gguk2on/olmo2-7b-rlar_g8_b384_math_0.20.08",
"sashaboguraev/pythia-160m-ppt-control_nca_steps1000-seed208-preserve_emb",
"gradients-io-tournaments/tournament-tourn_c03a612f287687e0_20260713-f0783105-5d78-4968-9e88-d26d8bcca0c1-5EeLcV3L",
"Gueule-d-ange/aup-fullft-kto_w1-w1lam9.68e-4-seed2",
"DavidAU/L3.1-RP-Hero-BigTalker-8B",
"Gueule-d-ange/aup-fullft-kto_kl-klam0.0333_beta0.1-seed2",
"Gueule-d-ange/aup-fullft-kto_mmd-mmdrho5.19e-3_kr0.1-seed2",
"saarvajanik/facebook-opt-6.7b-gqa-ub-16-best-for-KV-cache",
"ChaoticNeutrals/Prima-LelantaclesV7-experimental-7b",
"C10X/Nanbeige4-3B-Thinking-2511-Claude-4.5-Opus-High-Reasoning-Distill",
"AVeryRealHuman/DialoGPT-small-TonyStark",
"mxcui/vanilla-imdb-ppo-prop0.2-alpha1.0-seed42-kl0.15-EleutherAI-pythia-160m-lr7e-6",
"mncai/Mistral-7B-Instruct-v0.2-1st-NWS-KoOrca-5k-2nd-LaAdMoAl-o10u5",
"TheBloke/CodeLlama-7B-Python-fp16",
"cs-552-2026-MMRF/DARE",
"maywell/Synatra_TbST02M_IN01",
"transformers-community/dola",
"Secbone/llama-2-13B-instructed",
"cs-552-2026-MMRF/TIES",
"sashaboguraev/pythia-160m-ppt-nca_steps100-seed324-preserve_emb",
"linsong8208/trainer_output",
"Gueule-d-ange/aup-fullft-kto_w1_mmd-w1lam8.4e-4_mmdrho8.4e-4_kr0.1-seed2",
"arcee-ai/Patent-Llama-7B-Chat-Slerp",
"aJupyter/EmoLLM_Qwen1_5-0_5B-Chat_full_sft",
"RefalMachine/ruadapt_qwen2.5_7B_ext_u48_instruct",
"m-a-p/OpenLLaMA-Reproduce-2030.04B",
"FlagRelease/Qwen2-7B-Instruct-FlagOS",
"chartreuse-verte/orb-human-typeahead-1b-v2",
"cs-552-2026-MMRF/SOUP",
"OpenLLM-France/Claire-7B-0.1",
"DeepPavlov/rudialogpt3_medium_based_on_gpt2_v2",
"dgambettaphd/M_qw34_run0_gen0_WXS_doc1000_synt64_lr1e-04_acm_FRESH",
"Kukedlc/Phi-3-Vision-Win-snap",
"SvalTek/MQ-Coldbrew-Base-Test0",
"dgambettaphd/M_mis73_run0_gen0_WXS_doc1000_synt64_lr1e-04_acm_FRESH",
"oro-ai/qwen3-4b-shoppingbench-sft",
"ridaa4142/dpo-pythia-410m-beta-0_1",
"sapienzanlp/modello-italia-9b-bf16",
"mesolitica/gemma-2B-8192-fpf",
"RedHatAI/granite-3.1-2b-instruct-quantized.w8a8",
"gguk2on/olmo2-7b-rlar_g8_b384_math",
"YuchenLi01/ultrafeedbackSkyworkAgree_alignmentZephyr7BSftFull_sdpo_score_ebs64_lr1e-07_0",
"Azzedde/llama3.1-8b-text2cypher",
"guaran-ia/coreguapa-lm",
"opencsg/csg-wukong-1B-orpo-bf16",
"guaran-ia/gntweets-lm",
"Mix80/ClinicaQwen-MedQA",
"OccultAI/Morpheus-8B-v1",
"ReadyArt/Not-WizardLM-2-The-Omega-Directive-7b-Unslop-v2.1",
"sennaLLMLearner/qwen2.5-7b-memory-distiller",
"maywell/TinyWand-SFT",
"Gryphe/Pantheon-RP-1.5-12b-Nemo",
"gghfez/gemma-3-4b-novision",
"bespokelabs/qwen3-1.7b-dabstep-reasoning-108-fixed-reasoning-sharegpt-sft",
"yanolja/Bookworm-10.7B-v0.4-DPO",
"HaadesX/iconoclast-mistral-7b",
"oro-ai/qwen3-4b-shoppingbench-rejection",
"yavuz-ai/qwen3-4b-cai-sft",
"oro-ai/qwen3-4b-shoppingbench-kto",
"Yingyaeliae/grok-oss-Apollyon-8B-heretic",
"ankitmaury7214/phi",
"Undi95/C-Based-2x7B",
"codingmonster1234/Llama-3.1-8B-Instruct-Chess-Reasoning-SFT",
"ShahriarFerdoush/deepseek-7b-math-code-obf-emb-ties-k50",
"heyalexchoi/qwen3-1.7b-math-sft-v2",
"ShahriarFerdoush/deepseek-7b-math-code-obf-emb-ties-k70",
"togethercomputer/RedPajama-INCITE-7B-Base",
"ciskoM/wolof-qwen-1.5b",
"codingmonster1234/Llama-3.1-8B-Instruct-Chess-Reasoning-SFT-v2",
"Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base",
"LLM-Research/tulu-v2.5-dpo-13b-argilla-orca-pairs",
"1-800-LLMs/tiny-aya-fire",
"ApolloRaines/Qwen2.5-Coder-3B-Instruct-Jbliterated",
"Tesslate/Tessa-Rust-T1-7B",
"saidutta69/Ghosty-7B",
"1-800-LLMs/tiny-aya-water",
"Atikarahmanda/Qwen3-4B-SFT-Multitask",
"sashaboguraev/pythia-160m-ppt-nca_steps1000-seed324-preserve_emb",
"gradients-io-tournaments/tournament-tourn_c03a612f287687e0_20260713-f0783105-5d78-4968-9e88-d26d8bcca0c1-5FBmn1ax",
"TSerizawa/llm-lecture-2025_dpo-qwen-cot-merged_base_model",
"sashaboguraev/pythia-160m-ppt-nca_steps500-seed324-preserve_emb",
"yaofu/llama-2-7b-80k",
"sashaboguraev/pythia-160m-ppt-control_nca_steps100-seed208-preserve_emb",
"SlowGuess/ABForge-Qwen3-8B-Task1-SFT",
"SlowGuess/ABForge-Qwen3-8B-Task2-SFT",
"SlowGuess/ABForge-Qwen3-8B-Task1",
"SlowGuess/ABForge-Qwen3-8B-Task2-RL",
]
# 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)
2026-06-12 14:24:27 +08:00
# ══════════════════════════════════════════════════════════
# 全局状态(供 /status 展示)
# ══════════════════════════════════════════════════════════
_state = {
"strategy_id": STRATEGY_ID,
"phase": "starting", # starting | submitting | done | error
"total": TOTAL_MODELS,
2026-06-12 14:24:27 +08:00
"submitted": 0,
"failed": 0,
"per_gpu": {gpu: 0 for gpu, _ in GPU_JOBS},
2026-06-12 14:24:27 +08:00
"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
2026-06-12 14:24:27 +08:00
# ══════════════════════════════════════════════════════════
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)
2026-06-12 14:24:27 +08:00
payload = {
2026-06-10 21:42:41 +08:00
"contestApiToken": CONTEST_API_TOKEN,
2026-06-12 14:24:27 +08:00
"contributors": CONTRIBUTORS,
"gpuTypes": [gpu_type],
2026-06-12 14:24:27 +08:00
"taskType": TASK_TYPE,
"modelId": model_id,
"framework": "vllm",
"strategyId": STRATEGY_ID, # 平台要求
2026-06-10 21:42:41 +08:00
"submissionConfig": [{
2026-06-12 14:24:27 +08:00
"config": config_content,
"gpuType": gpu_type,
2026-06-12 14:24:27 +08:00
"taskType": TASK_TYPE,
}],
2026-06-10 21:42:41 +08:00
}
print(f"[payload] gpu={gpu_type} model={model_id}", flush=True)
2026-06-10 21:42:41 +08:00
try:
2026-06-12 14:24:27 +08:00
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)
2026-06-12 14:24:27 +08:00
return True, task_id
2026-06-10 21:42:41 +08:00
else:
print(f"[worker] FAIL {model_id} (GPU={gpu_type}): {result.get('message')}", flush=True)
2026-06-12 14:24:27 +08:00
return False, ""
2026-06-10 21:42:41 +08:00
except Exception as e:
print(f"[worker] ERROR {model_id} (GPU={gpu_type}): {e}", flush=True)
2026-06-12 14:24:27 +08:00
return False, ""
2026-06-10 21:42:41 +08:00
2026-06-12 14:24:27 +08:00
def _run_worker():
_state["started_at"] = datetime.utcnow().isoformat()
_state["phase"] = "submitting"
2026-06-10 21:42:41 +08:00
successful: List[Tuple[str, str, str]] = []
2026-06-14 23:54:02 +08:00
token = AUTH_TOKEN
print("[worker] 使用预设 Token跳过登录", flush=True)
2026-06-10 21:42:41 +08:00
for gpu_type, model_list in GPU_JOBS:
2026-06-12 14:24:27 +08:00
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
2026-06-12 14:24:27 +08:00
# 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")
2026-06-12 14:24:27 +08:00
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']}",
2026-06-12 14:24:27 +08:00
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)
2026-06-10 21:42:41 +08:00
if __name__ == "__main__":
main()