1 Commits

Author SHA1 Message Date
zhouyuanxi
94b72eadf3 resubmit via mechanism B the 157 models that failed on zhoushasha with "please download the model first"
MetaX_c-500(61) / Kunlunxin_p-800(1) / Cambricon_mlu-370-x8(1) / Biren_166m(94).
Mechanism A requires models to be pre-downloaded to platform storage; this repo's
mechanism B passes a HuggingFace modelAddress that the platform fetches itself.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-09-15 17:32:16 +08:00

321
main.py
View File

@@ -58,166 +58,175 @@ ACCOUNTS: List[Tuple[str, str, str]] = [
# 各 GPU 的模型列表(来自 filter_verified_models 脚本的筛选结果)
# ══════════════════════════════════════════════════════════
METAX_MODELS = [
"ahalt/event-attribute-extractor",
"Shivamverma1078/text_to_sql_merged_V1",
"Fsyahputra/qwen2.5-0.5b-legal-grpo",
"xiaoyuchen1/societas-router-lenv3-17b",
"blegoh/finetuning-revisi",
"bip22/llama-3.2-3b-indonesian-finetuned-dicoding-submission",
"hakbari/deepseek_r1_qwen_7B_iit_phi_65",
"giux78/zagreus_0.4_competition",
"barandinho/Qwen3-30B-A3B-FIRST-STAGE-SFT-V2",
"hotmailuser/QwenSlerp2-14B",
"WhiteRabbitNeo/WhiteRabbitNeo-33B-v1.5",
"madox81/SmolLM2-135M-cybersecurity-lora-merged",
"Xlnk/LFM2-2.6B-Exp-GGuf",
"Tesslate/UIGEN-T1.1-Qwen-14B",
"jondurbin/bagel-dpo-34b-v0.2",
"zhengr/MixTAO-7Bx2-MoE-Instruct-v5.0",
"bjaidi/Phi-3-medium-128k-instruct-awq",
"jacob-ml/jacob-24b",
"geoffmunn/Qwen3-32B-f16",
"TorpedoSoftware/Luau-Devstral-24B-Instruct-v0.2",
"TeichAI/Nemotron-Cascade-14B-Thinking-Claude-4.5-Opus-High-Reasoning-Distill",
"tongzang/Qwen2.5-7b-lora-law",
"prithivMLmods/Sombrero-QwQ-32B-Elite9",
"prithivMLmods/Sombrero-QwQ-32B-Elite10-Fixed",
"TeichAI/Qwen3-14B-Polaris-Alpha-Distill",
"okwinds/MiroThinker-14B-DPO-v0.1",
"sanbuphy/tianji-wish2-14b",
"YOYO-AI/YOYO-O1-14B",
"LLM-Research/Meta-Llama-3.1-405B",
"LLM-Research/Meta-Llama-3-70B",
"LLM-Research/Meta-Llama-3.1-70B",
"Qwen/Qwen-72B-Chat",
"Qwen/Qwen3-Coder-480B-A35B-Instruct",
"deepseek-ai/DeepSeek-R1-Distill-Llama-70B",
"codefuse-ai/CodeFuse-StarCoder2-15B",
"AI-ModelScope/txgemma-27b-chat",
"XGenerationLab/XiYanSQL-QwenCoder-32B-2412",
"OpenBuddy/openbuddy-qwen1.5-32b-v21.2-32k",
"OpenBuddy/openbuddy-thinker-32b-v26-preview",
"OpenBuddy/openbuddy-qwen1.5-32b-v21.1-32k",
"OpenBuddy/openbuddy-qwq-32b-v25.2q-200k",
"unsloth/Qwen3-30B-A3B",
"OpenBuddy/openbuddy-qwq-32b-v25.1-200k",
"OpenBuddy/openbuddy-r1-32b-v24.1-200k",
"iic/ERank-14B",
"OpenBuddy/openbuddy-yi1.5-34b-v21.2-32k",
"LGAI-EXAONE/EXAONE-Deep-32B",
"OpenBuddy/openbuddy-qwq-32b-v24.2-200k",
"unsloth/Phi-3-mini-4k-instruct-v0",
"argilla/notux-8x7b-v1",
"voidful/qd-phi-1_5",
"TechxGenus-MS/starcoder2-15b-instruct",
"m-a-p/OpenLLaMA-Reproduce-872.42B",
"m-a-p/OpenLLaMA-Reproduce-973.08B",
"Shanghai_AI_Laboratory/OREAL-32B",
"YOYO-AI/Qwen3-30B-A3B-CoderThinking-YOYO-linear",
"smirki/UIGEN-T1.1-Qwen-14B",
"sthenno-com/miscii-14b-0130",
"prithivMLmods/Qwen2.5-32B-DeepSeek-R1-Instruct",
"sail/Sailor2-20B-128K",
"xverse/XVERSE-65B",
"TeleAI/TeleChat-52B",
"modelscope/Llama-2-70b-ms",
"Shanghai_AI_Laboratory/internlm2-20b",
"ai-modelscope/Llama-3_1-Nemotron-51B-Instruct",
"aJupyter/EmoLLM_Qwen2-7B-Instruct_lora",
"zhuangxialie/Phi-3-Chinese-ORPO",
"vllm-ascend/QwQ-32B-W8A8",
"ZhipuAI/GLM-4-32B-0414",
]
KUNLUNXIN_MODELS = [
"jhgan/ko-sroberta-multitask",
"jhgan/ko-sbert-sts",
"jhgan/ko-sroberta-nli",
"jhgan/ko-sbert-nli",
"jhgan/ko-sbert-multitask",
"jgammack/multi-qa-MTL-distilbert-base-uncased-40k",
"jgammack/multi-qa-MTL-distilbert-base-uncased",
"jfarray/Model_paraphrase-multilingual-mpnet-base-v2_5_Epochs",
"jfarray/Model_paraphrase-multilingual-mpnet-base-v2_50_Epochs",
"jfarray/Model_paraphrase-multilingual-mpnet-base-v2_30_Epochs",
"jfarray/Model_paraphrase-multilingual-mpnet-base-v2_1_Epochs",
"jfarray/Model_paraphrase-multilingual-mpnet-base-v2_100_Epochs",
"jfarray/Model_dccuchile_bert-base-spanish-wwm-uncased_50_Epochs",
"jfarray/Model_dccuchile_bert-base-spanish-wwm-uncased_30_Epochs",
"jfarray/Model_dccuchile_bert-base-spanish-wwm-uncased_10_Epochs",
"jfarray/Model_dccuchile_bert-base-spanish-wwm-uncased_100_Epochs",
"jfarray/Model_bert-base-multilingual-uncased_50_Epochs",
"jfarray/Model_bert-base-multilingual-uncased_30_Epochs",
"trinhkhng/della_Merged_gpt2_0.2",
"jfarray/Model_bert-base-multilingual-uncased_1_Epochs",
"jfarray/Model_bert-base-multilingual-uncased_10_Epochs",
"jfarray/Model_bert-base-multilingual-uncased_100_Epochs",
"XiaomiMiMo/MiMo-VL-7B-SFT",
"jfarray/Model_all-distilroberta-v1_5_Epochs",
"jfarray/Model_all-distilroberta-v1_30_Epochs",
"jfarray/Model_all-distilroberta-v1_1_Epochs",
"TIGER-Lab/VL-Rethinker-7B",
"jfarray/Model_all-distilroberta-v1_10_Epochs",
"jegormeister/bert-base-dutch-cased-snli",
"jegormeister/bert-base-dutch-cased",
"jamescalam/bert-stsb-cross-encoder",
"Xlnk/LFM2-2.6B-Exp-GGuf",
]
BIREN_MODELS = [
"xiaoyuchen1/societas-router-lenv3-17b",
"blegoh/finetuning-revisi",
"allenai/OLMo-2-0425-1B",
"Free2035/4QDR_4B_AD_Thinker_V1",
"aifoundry-org/OLMo-7B-0424-hf-Quantized",
"lugman-madhiai/Qwen3-4B-MHS-1.1",
"zypchn/BehChat-SFT-v4",
"NoesisLab/Kai-30B-Instruct",
"barandinho/Qwen3-30B-A3B-FIRST-STAGE-SFT",
"m-a-p/OpenLLaMA-Reproduce-218.1B",
"xiaolesu/Qwen3-8B-Herald-SFT",
"WhiteRabbitNeo/WhiteRabbitNeo-33B-v1.5",
"saleh1312/orph_3.07225",
"vanta-research/atom-olmo3-7b",
"ZhipuAI/LongCite-glm4-9b",
"Xlnk/LFM2-2.6B-Exp-GGuf",
"Tesslate/UIGEN-T1.1-Qwen-14B",
"jondurbin/bagel-dpo-34b-v0.2",
"zhengr/MixTAO-7Bx2-MoE-Instruct-v5.0",
"allenai/Olmo-3.1-32B-Instruct",
"bjaidi/Phi-3-medium-128k-instruct-awq",
"xing720310/qwen3-14b",
"IntelLabs/sqft-mistral-7b-v0.3-50-base-gptq",
"hariharanv04/qwen2.5-coder-14b-metadata-merged",
"junfengzhou/qwen3-14b-rl",
"ronnywebdevs1/Affine-P011-5CkU7wLMWXPs6TdSsMf8eEYCVAbPLyNmYg9PPx1Uds8toKra",
"kennedyantonio0301/Affine-Tensor-h3-5EkdoaCmEpFffUjDpLhDMzEDR4kptaEzpTPYCP1uL2sbct8C",
"julep-ai/dolphin-2.9-llama3-70b-awq",
"cortexso/gemma3",
"jacob-ml/jacob-24b",
"lyraaaa/neuralese-sft-pretrain-v2",
"ai-sage/GigaChat-20B-A3B-instruct-bf16",
"PJMixers-Dev/gemma-3-1b-it-fixed",
"commotion/svara_finetune_v1",
"geoffmunn/Qwen3-14B-f16",
"geoffmunn/Qwen3-32B-f16",
"TeichAI/Nemotron-Cascade-14B-Thinking-Claude-4.5-Opus-High-Reasoning-Distill",
"prithivMLmods-llamafile/SmolLM2-1.7B-Instruct-llamafile",
"prithivMLmods-llamafile/Llama-3.2-8B-llamafile-200K",
"llamafile-club/SmolLM-135M-Instruct-Llamafile",
"prithivMLmods/Sombrero-QwQ-32B-Elite9",
"prithivMLmods-llamafile/Aya-Expanse-8B-llamafile",
"llamafile-club/SmolLM-135M-Llamafile",
"prithivMLmods/Sombrero-QwQ-32B-Elite10-Fixed",
"prithivMLmods-llamafile/Qwen2.5-Coder-1.5B-llamafile",
"TeichAI/Qwen3-14B-Polaris-Alpha-Distill",
"okwinds/MiroThinker-14B-DPO-v0.1",
"sanbuphy/tianji-wish2-14b",
"codefuse-ai/CodeFuse-StarCoder2-15B",
"AI-ModelScope/txgemma-27b-chat",
"Shanghai_AI_Laboratory/internlm3-8b-instruct-awq",
"XGenerationLab/XiYanSQL-QwenCoder-32B-2412",
"vllm-ascend/gemma-1.1-2b-it",
"OpenBuddy/openbuddy-qwen1.5-32b-v21.2-32k",
"OpenBuddy/openbuddy-thinker-32b-v26-preview",
"OpenBuddy/openbuddy-qwen1.5-32b-v21.1-32k",
"TechxGenus-MS/CodeGemma-7b",
"OpenBuddy/openbuddy-qwq-32b-v25.2q-200k",
"unsloth/Qwen3-30B-A3B",
"OpenBuddy/openbuddy-qwq-32b-v25.1-200k",
"OpenBuddy/openbuddy-r1-32b-v24.1-200k",
"iic/ERank-14B",
"OpenBuddy/openbuddy-yi1.5-34b-v21.2-32k",
"LGAI-EXAONE/EXAONE-Deep-32B",
"OpenBuddy/openbuddy-qwq-32b-v24.2-200k",
"unsloth/Phi-3-mini-4k-instruct-v0",
"argilla/notux-8x7b-v1",
"voidful/qd-phi-1_5",
"Shanghai_AI_Laboratory/internlm2-math-base-20b",
"Shanghai_AI_Laboratory/internlm2-math-plus-20b",
"TechxGenus-MS/starcoder2-15b-instruct",
"Shanghai_AI_Laboratory/internlm2-base-20b",
"m-a-p/OpenLLaMA-Reproduce-872.42B",
"m-a-p/OpenLLaMA-Reproduce-973.08B",
"Shanghai_AI_Laboratory/OREAL-32B",
"YOYO-AI/Qwen3-30B-A3B-CoderThinking-YOYO-linear",
"ticoAg/Qwen-1_8B-Chat-Int4-awq",
"smirki/UIGEN-T1.1-Qwen-14B",
"prithivMLmods/Qwen2.5-32B-DeepSeek-R1-Instruct",
"sail/Sailor2-20B-128K",
"xverse/XVERSE-65B",
"Shanghai_AI_Laboratory/internlm2_5-20b-chat",
"TeleAI/TeleChat-52B",
"modelscope/Llama-2-70b-ms",
"Shanghai_AI_Laboratory/internlm2-20b",
"ai-modelscope/Llama-3_1-Nemotron-51B-Instruct",
"zhuangxialie/Phi-3-Chinese-ORPO",
"openai-mirror/gpt-oss-safeguard-20b",
"ByteDance-Seed/Seed-OSS-36B-Instruct",
"Shanghai_AI_Laboratory/internlm-chat-20b",
"TurkuNLP/bloom-finnish-176b",
"openai-mirror/gpt-oss-120b",
"vllm-ascend/QwQ-32B-W8A8",
"mistralai/Mistral-Small-24B-Instruct-2501",
"Shanghai_AI_Laboratory/internlm-20b",
"ZhipuAI/GLM-4-32B-0414",
]
CAMBRICON_MODELS = [
"jhgan/ko-sroberta-multitask",
"jhgan/ko-sbert-sts",
"jhgan/ko-sbert-nli",
"jhgan/ko-sbert-multitask",
"jgammack/multi-qa-MTL-distilbert-base-uncased-40k",
"jgammack/multi-qa-MTL-distilbert-base-uncased",
"jfarray/Model_paraphrase-multilingual-mpnet-base-v2_5_Epochs",
"jfarray/Model_paraphrase-multilingual-mpnet-base-v2_50_Epochs",
"jfarray/Model_paraphrase-multilingual-mpnet-base-v2_30_Epochs",
"jfarray/Model_paraphrase-multilingual-mpnet-base-v2_1_Epochs",
"jfarray/Model_paraphrase-multilingual-mpnet-base-v2_100_Epochs",
"jfarray/Model_dccuchile_bert-base-spanish-wwm-uncased_50_Epochs",
"jfarray/Model_dccuchile_bert-base-spanish-wwm-uncased_30_Epochs",
"jfarray/Model_dccuchile_bert-base-spanish-wwm-uncased_10_Epochs",
"xiaoyuchen1/societas-router-lenv3-17b",
"jfarray/Model_dccuchile_bert-base-spanish-wwm-uncased_100_Epochs",
"jfarray/Model_bert-base-multilingual-uncased_50_Epochs",
"jfarray/Model_bert-base-multilingual-uncased_30_Epochs",
"trinhkhng/della_Merged_gpt2_0.2",
"jfarray/Model_bert-base-multilingual-uncased_1_Epochs",
"trinhkhng/della_Merged_gpt2_0.1",
"tianchuang/Qwen-3-8B-RHEA-property-predictor",
"jfarray/Model_bert-base-multilingual-uncased_10_Epochs",
"blegoh/finetuning-revisi",
"jfarray/Model_bert-base-multilingual-uncased_100_Epochs",
"jfarray/Model_all-distilroberta-v1_5_Epochs",
"jfarray/Model_all-distilroberta-v1_30_Epochs",
"jfarray/Model_all-distilroberta-v1_1_Epochs",
"jegormeister/bert-base-dutch-cased-snli",
"jegormeister/bert-base-dutch-cased",
"jamescalam/bert-stsb-cross-encoder",
"gradients-io-tournaments/tournament-llama-test-001-f9005e45-62d6-479f-ab84-1e5c3edde0fb-5CMPnewm",
"Xlnk/LFM2-2.6B-Exp-GGuf",
]
HYGON_MODELS = [
"jhgan/ko-sroberta-multitask",
"jhgan/ko-sbert-sts",
"edusc182/Zen-AI-3B-it",
"jhgan/ko-sroberta-nli",
"jhgan/ko-sbert-nli",
"jhgan/ko-sbert-multitask",
"jgammack/multi-qa-MTL-distilbert-base-uncased-40k",
"RLMIA/GRPO-3B-SEARCH-R1",
"jgammack/multi-qa-MTL-distilbert-base-uncased",
"jfarray/Model_paraphrase-multilingual-mpnet-base-v2_5_Epochs",
"isbondarev/phi-3-mini-4k-adv",
"jfarray/Model_paraphrase-multilingual-mpnet-base-v2_50_Epochs",
"parallelm/gpt2_small_ZH_superbpe_65536_parallel3_42",
"jfarray/Model_paraphrase-multilingual-mpnet-base-v2_30_Epochs",
"isbondarev/phi-3-mini-128k-adv",
"ahalt/event-attribute-extractor",
"Shivamverma1078/text_to_sql_merged_V1",
"RedRenisa/PGABL-Renisa-Assyifa-Putri-legal-chatbot",
"jfarray/Model_paraphrase-multilingual-mpnet-base-v2_1_Epochs",
"jfarray/Model_paraphrase-multilingual-mpnet-base-v2_100_Epochs",
"Fsyahputra/qwen2.5-0.5b-legal-grpo",
"jfarray/Model_dccuchile_bert-base-spanish-wwm-uncased_50_Epochs",
"jfarray/Model_dccuchile_bert-base-spanish-wwm-uncased_30_Epochs",
"jfarray/Model_dccuchile_bert-base-spanish-wwm-uncased_10_Epochs",
"nie3e/sentiment-polish-gpt2-small",
"xiaoyuchen1/societas-router-lenv3-17b",
"jfarray/Model_dccuchile_bert-base-spanish-wwm-uncased_100_Epochs",
"jfarray/Model_bert-base-multilingual-uncased_50_Epochs",
"abdoul-rz/qwen3-4b-beauty-mix",
"jfarray/Model_bert-base-multilingual-uncased_30_Epochs",
"jfarray/Model_bert-base-multilingual-uncased_1_Epochs",
"infly/inf-retriever-v1-1.5b",
"tianchuang/Qwen-3-8B-RHEA-property-predictor",
"jfarray/Model_bert-base-multilingual-uncased_10_Epochs",
"fpadovani/hin-deva-10mb-ppt-Dp-10mb_seed455",
"srikarkashyap/iol-ai-2026-baseline",
"blegoh/finetuning-revisi",
"sengtha/Qwen3-0.6B-khm-ft3",
"bip22/llama-3.2-3b-indonesian-finetuned-dicoding-submission",
"jfarray/Model_bert-base-multilingual-uncased_100_Epochs",
"open-unlearning/unlearn_tofu_Llama-3.2-1B-Instruct_forget10_UNDIAL_lr1e-05_beta10_alpha1_epoch10",
"hakbari/deepseek_r1_qwen_7B_iit_phi_65",
"giux78/zagreus_0.4_competition",
"apitchai/qwen2.5-3b-instruct-tool-calling-500",
"jfarray/Model_all-distilroberta-v1_5_Epochs",
"YannQi/R-4B",
"yufeng1/Olmo3-7B-Think-medical-sdft-e3-lr5e5-b64-a002-truncated",
"jfarray/Model_all-distilroberta-v1_30_Epochs",
"yufeng1/Olmo3-7B-Think-medical-sdft-e1-lr5e5-b64-a002-truncated",
"bernardw/qwen2.5-coder-3b-codereview-taid",
"jfarray/Model_all-distilroberta-v1_1_Epochs",
"TIGER-Lab/VL-Rethinker-7B",
"yufeng1/Olmo3-7B-Think-medical-sdft-e2-lr5e5-b64-a002-truncated",
"yasserrmd/GeoScholar-QA-1.2B",
"jfarray/Model_all-distilroberta-v1_10_Epochs",
"yufeng1/Olmo3-7B-Think-medical-sdft-e1-lr5e5-b32-a005-truncated",
"fpadovani/hin-deva-10mb-ppt-Dp-100mb_seed455",
"jegormeister/bert-base-dutch-cased-snli",
"jegormeister/bert-base-dutch-cased",
"SEGAgentRL/LLDS-A-GRPO-Qwen2.5-3B-Base-MA",
"open-unlearning/unlearn_tofu_Llama-3.2-1B-Instruct_forget10_UNDIAL_lr0.0001_beta30_alpha2_epoch10",
"jamescalam/bert-stsb-cross-encoder",
"yufeng1/Olmo3-7B-Think-medical-sdft-e1-lr5e5-b64-a001-truncated",
"sugiv/qwen3-8b-tanglish",
"open-unlearning/tofu_Llama-3.2-1B-Instruct_retain99",
"praiselab-picuslab/Llama-3.2-1B-Instruct-Medicina-Generale",
"open-unlearning/unlearn_tofu_Llama-3.2-1B-Instruct_forget10_IdkNLL_lr1e-05_alpha1_epoch10",
"atenareply/smollm2-135m-noval-instruct",
"gradients-io-tournaments/tournament-llama-test-001-f9005e45-62d6-479f-ab84-1e5c3edde0fb-5CMPnewm",
"ameerak/my-awesome-setfit-model-ameer",
"jesspi/IFE-sentence-model2",
"arinze/address-match-abp-v3",
"jamiehudson/579-STmodel-brand-rem-v5_final",
"jamiehudson/579-STmodel-v5_final",
"jamiehudson/579-STmodel-brand-rem-v5",
]
MTHREADS_MODELS = [
@@ -787,17 +796,17 @@ PPU_MODELS = [
"espressovi/BODHI-qwen-3-maze-8b-distil",
]
# 本轮提交第二十三轮过滤结果MetaX_c-500(8) / Kunlunxin_p-800(31) / hygon_k100-ai(75) /
# Cambricon_mlu-370-x8(32) / Biren_166m(2)共148个源txt有3个重复条目灌入时已按模型ID去重
# 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-x1v1.0.13已完成)
# Iluvatar_bi-150 本轮筛出4个但本仓库是 framework=vllm而现有 iluvatar 镜像
# 都是 llamacpp/GGUF 的,缺 vllm 版镜像地址,暂不提交,待补 config 分支后再交
# 本轮补交 zhoushasha 仓库 v1.0.37 因「请先执行下载模型任务」失败的 157 个模型:
# MetaX_c-500(61) / Kunlunxin_p-800(1) / Cambricon_mlu-370-x8(1) / Biren_166m(94)。
# 原因机制Azhoushashacreate-contest-task要求模型必须已下载到平台存储
# 本仓库走机制B/api/adapt/task/add传 modelAddress 的 HuggingFace URL
# 平台会自行拉取,不需要预先下载,因此这批模型改由本仓库提交。
# 本轮不提交 hygon_k100-ai列表已清空/ Mthreads_s4000保留既有列表/
# ppu_zw_810e机制B无白名单权限/ Sunrise_pt-200-x1v1.0.13已完成)/
# Iluvatar_bi-150本仓库 framework=vllm现有 iluvatar 镜像均为 llamacpp/GGUF缺 vllm 版镜像)
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),
("Biren_166m", BIREN_MODELS),
]