1 Commits

Author SHA1 Message Date
zhouyuanxi
1c29242290 submit round-25 filter results: MetaX_c-500(8)/Kunlunxin_p-800(19)/hygon_k100-ai(40)/Cambricon_mlu-370-x8(16)/Biren_166m(1), 84 models total
Restores hygon_k100-ai to GPU_JOBS; its list was emptied in v1.0.31 for the
zhoushasha resubmission round.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-09-15 18:13:40 +08:00

256
main.py
View File

@@ -58,175 +58,102 @@ 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 = [
"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",
"InstantX/FLUX.1-dev-IP-Adapter",
"Data-Juicer/LLaMA-1B-dj-refine-150B-instruct-4.7B",
"strangerzone/Flux-Animex-v2-LoRA",
"tclf90/qwen2.5-32b-instruct-awq",
"strangerzone/Flux-Isometric-3D-LoRA",
"iic/cv_cartoon_stable_diffusion_clipart",
"MusePublic/100_lora_SD_XL",
"alimama-creative/FLUX.1-Turbo-Alpha",
]
KUNLUNXIN_MODELS = [
"Xlnk/LFM2-2.6B-Exp-GGuf",
"boltuix/NeuroBERT-NER",
"sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2",
"jfarray/Model_bert-base-multilingual-uncased_5_Epochs",
"jfarray/Model_dccuchile_bert-base-spanish-wwm-uncased_5_Epochs",
"cross-encoder/ms-marco-MiniLM-L6-v2",
"tomaarsen/Qwen3-Reranker-0.6B-seq-cls",
"sergeyzh/rubert-large-uncased-sts",
"sbintuitions/sarashina-embedding-v2-1b",
"nomic-ai/modernbert-embed-base",
"m3hrdadfi/roberta-zwnj-wnli-mean-tokens",
"m3hrdadfi/bert-zwnj-wnli-mean-tokens",
"m3hrdadfi/distilbert-zwnj-wnli-mean-tokens",
"mixedbread-ai/mxbai-edge-colbert-v0-32m",
"lokeshch19/ModernPubMedBERT",
"ligolab/DxRoberta",
"lightonai/ColBERT-Zero",
"kinit/slovakbert-sts-stsb",
"keepitreal/vietnamese-sbert",
"jhgan/ko-sroberta-sts",
]
BIREN_MODELS = [
"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",
"Data-Juicer/LLaMA-1B-dj-refine-150B-instruct-4.7B",
]
CAMBRICON_MODELS = [
"Xlnk/LFM2-2.6B-Exp-GGuf",
"GwadaDLT/whisper-base-gcf",
"Pyjay/sentence-transformers-multilingual-snli-v2-500k",
"sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2",
"Muennighoff/SGPT-2.7B-weightedmean-nli-bitfit",
"jfarray/Model_bert-base-multilingual-uncased_5_Epochs",
"Muennighoff/SGPT-125M-mean-nli-bitfit",
"cross-encoder/ms-marco-MiniLM-L6-v2",
"sergeyzh/rubert-large-uncased-sts",
"sbintuitions/sarashina-embedding-v2-1b",
"nomic-ai/modernbert-embed-base",
"m3hrdadfi/roberta-zwnj-wnli-mean-tokens",
"m3hrdadfi/distilbert-zwnj-wnli-mean-tokens",
"mixedbread-ai/mxbai-edge-colbert-v0-32m",
"ligolab/DxRoberta",
"lightonai/ColBERT-Zero",
"kinit/slovakbert-sts-stsb",
]
HYGON_MODELS = [
"SEGAgentRL/LLDS-R-GSPO-Qwen2.5-3B-Ins",
"1010happy/claude_max_max7_perblock35-Qwen2-5-3B-Instruct-seed10",
"1010happy/Teacher_r14_train_gptmini_all7-Qwen2-5-3B-Instruct-seed896",
"fpadovani/jpn-jpan-10mb-after-ppt-Dp-100mb-ckpt500_seed455",
"saheedniyi/YarnGPT-local",
"beleata74/bg-tts-v7",
"shubhamprakash108/qwen3-vl-chartqa-vllm-full-dataset-3-epoch",
"boltuix/NeuroBERT-NER",
"fpadovani/jpn-jpan-100mb-after-ppt-shuff-dyck-100mb-ckpt500_seed455",
"Pyjay/sentence-transformers-multilingual-snli-v2-500k",
"Muennighoff/SGPT-2.7B-weightedmean-nli-bitfit",
"allura-org/Gemma-3-Glitter-12B",
"Muennighoff/SGPT-125M-mean-nli-linear5",
"Muennighoff/SGPT-125M-weightedmean-nli-bitfit",
"Muennighoff/SGPT-125M-mean-nli-bitfit",
"Muennighoff/SGPT-1.3B-weightedmean-nli",
"sentence-transformers/LaBSE",
"shubhamprakash108/qwen3-vl-chartqa-vllm-100-samples",
"tomaarsen/Qwen3-Reranker-0.6B-seq-cls",
"sergeyzh/rubert-large-uncased-sts",
"shubhamprakash108/qwen3-vl-chartqa-v1-10k-samples",
"shubhamprakash108/qwen3-vl-chartqa-v1-full-data-one-epoch",
"sbintuitions/sarashina-embedding-v2-1b",
"nomic-ai/modernbert-embed-base",
"m3hrdadfi/roberta-zwnj-wnli-mean-tokens",
"m3hrdadfi/bert-zwnj-wnli-mean-tokens",
"m3hrdadfi/distilbert-zwnj-wnli-mean-tokens",
"mixedbread-ai/mxbai-edge-colbert-v0-32m",
"lokeshch19/ModernPubMedBERT",
"ligolab/DxRoberta",
"lightonai/ColBERT-Zero",
"kinit/slovakbert-sts-stsb",
"keepitreal/vietnamese-sbert",
"jhgan/ko-sroberta-sts",
"gradguy/qwen-2b-chat-finetune",
"Nhat1904/4_shot_STA",
"shrinivasbjoshi/setfit-mbti-multiclass-w266_Nov29",
"Etelis/rtm_fewshot",
"Etelis/YELP_fewshot",
"shrinivasbjoshi/setfit-mbti-multiclass-w266",
]
MTHREADS_MODELS = [
@@ -796,17 +723,16 @@ PPU_MODELS = [
"espressovi/BODHI-qwen-3-maze-8b-distil",
]
# 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)
# 本轮提交第二十五轮过滤结果MetaX_c-500(8) / Kunlunxin_p-800(19) / hygon_k100-ai(40) /
# Cambricon_mlu-370-x8(16) / Biren_166m(1)共84个沿用多账号 fallback 轮转
# hygon_k100-ai 本轮恢复提交(上一轮 v1.0.31 为补交 zhoushasha 失败模型而清空过其列表)。
# 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本轮筛选为0且本仓库 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),
]