11 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
zhouyuanxi
5a100f2b20 submit round-23 filter results: MetaX_c-500(8)/Kunlunxin_p-800(31)/hygon_k100-ai(75)/Cambricon_mlu-370-x8(32)/Biren_166m(2), 148 models total (deduplicated) 2026-09-10 13:52:19 +08:00
zhouyuanxi
25163bb7ad submit round-22 filter results: MetaX_c-500(36)/Kunlunxin_p-800(136)/hygon_k100-ai(351)/Cambricon_mlu-370-x8(161)/Biren_166m(43), 727 models total 2026-09-08 16:03:50 +08:00
zhouyuanxi
1a76d6eeaf submit round-21 filter results: MetaX_c-500(15)/Kunlunxin_p-800(11)/hygon_k100-ai(49)/Cambricon_mlu-370-x8(22)/Biren_166m(14), 111 models total 2026-09-04 16:42:42 +08:00
zhouyuanxi
51dcb02acc submit round-20 filter results: MetaX_c-500(100)/Kunlunxin_p-800(35)/hygon_k100-ai(81)/Cambricon_mlu-370-x8(43)/Biren_166m(94), 353 models total (deduplicated) 2026-09-02 16:47:09 +08:00
zhouyuanxi
41b0329dd1 submit round-19 filter results: MetaX_c-500(20)/Kunlunxin_p-800(16)/hygon_k100-ai(35)/Cambricon_mlu-370-x8(32)/Biren_166m(6), 109 models total 2026-09-01 15:21:08 +08:00
zhouyuanxi
33fc64f4f7 submit round-17 filter results: MetaX_c-500(1)/Kunlunxin_p-800(8)/hygon_k100-ai(11)/Cambricon_mlu-370-x8(8)/Biren_166m(6), 34 models total 2026-08-31 16:31:03 +08:00
zhouyuanxi
bf7082e9b4 submit round-15 filter results: MetaX_c-500(49)/Kunlunxin_p-800(43)/hygon_k100-ai(249)/Cambricon_mlu-370-x8(61), 402 models total 2026-08-31 13:27:24 +08:00
zhouyuanxi
c8e7fac4cb submit round-13 filter results: MetaX_c-500(26)/Kunlunxin_p-800(21)/hygon_k100-ai(98)/Cambricon_mlu-370-x8(26), 171 models total 2026-08-25 17:10:20 +08:00
zhouyuanxi
61e63b2b17 submit round-12 filter results: MetaX_c-500(6)/Kunlunxin_p-800(3)/hygon_k100-ai(19)/Cambricon_mlu-370-x8(3), 31 models total 2026-08-20 22:04:55 +08:00
zhouyuanxi
1346246942 submit round-11 filter results: MetaX_c-500(17)/Kunlunxin_p-800(11)/hygon_k100-ai(20)/Cambricon_mlu-370-x8(12), 60 models total 2026-08-20 21:17:53 +08:00

448
main.py
View File

@@ -58,293 +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 = [
"shadowml/Mixolar-4x7b",
"jukofyork/command-r-35b-writer-v2",
"KOREAson/KO-REAson-AX3_1-35B-1009",
"UCSC-VLAA/STAR1-R1-Distill-32B",
"konradjr007/LFM2.5-230M_Twinx",
"jondurbin/bagel-dpo-34b-v0.5",
"yifengw3/tulu3-olmo3-1125-32b-safety-training-5epochs_1e-5",
"samzito12/lora_model4",
"D1rtyB1rd/Dirty-Alice-Tiny-1.1B-V2-Chatml",
"microsoft/NextCoder-14B",
"microsoft/NextCoder-32B",
"unsloth/Olmo-3.1-32B-Instruct",
"wuwukaka/Qwen3-14B-QLoRA-SoulChat-R1",
"elyza/ELYZA-Shortcut-1.0-Qwen-32B",
"tokyotech-llm/Qwen3-Swallow-32B-RL-v0.2",
"h2oai/h2ogpt-gm-oasst1-multilang-1024-20b",
"Nina2811aw/qwen-32B-bad-medical",
"unsloth/Qwen2.5-32B-Instruct",
"LoupGarou/WizardCoder-Guanaco-15B-V1.0",
"brianlan/test-lora-finetune-qwen2_5-3b-instruct",
"56m/Dumb-1.2-Exp-0616",
"fpadovani/tur-latn-100mb-after-ppt-Dp-10mb-ckpt500_seed10",
"fpadovani/zho-hans-100mb-after-ppt-Dp-100mb-ckpt500_seed3407",
"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 = [
"modrill/mhm_arithmetic__merge_experiments_math_no_think_17_task_arithmetic_lambda_0p70",
"ilyasrhmn/legal-qwen2.5-1.5b-sft",
"konradjr007/LFM2.5-230M_Twinx",
"D1rtyB1rd/Dirty-Alice-Tiny-1.1B-V2-Chatml",
"Codemaster67/Olmo-1b_smoke_test",
"ilyasrhmn/legal-qwen2.5-1.5b-grpo",
"AhiskaAI/AhiskaAI-25m-Base-v0.1",
"56m/Dumb-1.2-Exp-0616",
"longtermrisk/Llama-3.1-8B-school-of-reward-hacks-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",
"menadsa/BioS-MiniLM",
"marco-gancitano/distortion-model",
"marco-gancitano/test-test",
"fpadovani/tur-latn-100mb-after-ppt-Dp-10mb-ckpt500_seed10",
"teven/cross_all-mpnet-base-v2_finetuned_WebNLG2020_relevance",
"Xlnk/LFM2-2.6B-Exp-GGuf",
]
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",
"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 = [
"konradjr007/LFM2.5-230M_Twinx",
"D1rtyB1rd/Dirty-Alice-Tiny-1.1B-V2-Chatml",
"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_1_no_3_Test_3_new.model",
"Wheatley961/Raw_2_no_0_Test_3_new.model",
"Wheatley961/Raw_1_no_1_Test_3_new.model",
"marco-gancitano/test-test",
"teven/cross_all-mpnet-base-v2_finetuned_WebNLG2020_relevance",
"Xlnk/LFM2-2.6B-Exp-GGuf",
]
HYGON_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",
"torry0677/Qwen3-1.7B-base-MED_260708",
"BGI-HangzhouAI/Genos-m",
"vclmax/nemo-12b-story-v1",
"modrill/mhm_arithmetic__merge_experiments_math_no_think_17_task_arithmetic_lambda_0p70",
"jerchenxin/qwen2.5-Math-1.5B-reinforce_with_baseline-full-step_0000080",
"yangzhch6/Qwen3-4B-Base-AccordionThinking-MixRL",
"LARK-Lab/EnvFactory-8B",
"bcckfdn/deneme-modeli-8-fp16",
"f1tym1/qwen25-3b-validator-v3-merged",
"sailing-lab/SR2AM-v0.1-8B",
"rishabsponge/qwen-countdown-h100-hillclimb",
"Goekdeniz-Guelmez/Josiefied-Olmo-3-7B-Instruct-abliterated-v1",
"lldois/v08_rec_focus_lr2e5",
"MadeAgents/Hammer2.1-3b",
"mesolitica/Malaysian-Qwen2.5-3B-Instruct",
"trinhkhng/karcher_Merged_Qwen2-0.5B_0.5",
"lldois/v06_no_think_input_lr2e5",
"Colby/starcoder-7b-agent-0.6-merged",
"trinhkhng/karcher_Merged_Qwen2-0.5B_0.3",
"trinhkhng/karcher_Merged_Qwen2-0.5B_0.1",
"trinhkhng/karcher_Merged_Qwen2-0.5B_0.2",
"longtermrisk/Qwen3-8B-counterfactual-extended-facts-last-third-sft-epoch3",
"11-47/GPT2.5.5-Awakened.Thinker-0.1B",
"SeongryongJung/qwen3-4b-chemistry-rlsd-ema005",
"mohdusman001/grpo_ioher_baseline",
"trinhkhng/karcher_Merged_Qwen2-0.5B_0.0",
"MadeAgents/Hammer2.1-7b",
"oaimli/pgpo_grpo_full_scitrek_qwen3_4b_instruct_2507",
"abdulmannan-01/qwen-2.5-1.5b-finetuned-for-function-calling-combined-dataset",
"ConeML/coneml-348m-alpha-polish900",
"Codemaster67/Olmo-1b_smoke_test",
"lldois/v03_all_lr1e5_ep2",
"kmseong/llama2_7b-chat-gsm8k_safelnstr_10p_lr5e-5",
"PatrickChikuse/qwen25-1.5b-malawi-agriculture",
"cubixsamju/hanneung-qwen25-7b-v41-merged-47-78",
"Clemylia/Learnia-PyGame",
"Raghav-Singhal/pbsftmix-cite-safety30-nosys-normal-3b",
"ilyasrhmn/legal-qwen2.5-1.5b-grpo",
"rawcell/Qwen2.5-Coder-7B-Instruct-bruno",
"towardtype1/qwen2.5-0.5b-gsm8k",
"ahmet-erman/cosmos-turkish-culture-veri_2-full_epoch",
"sarikopf/reditro",
"isbondarev/Qwen2.5-1.5B-Instruct-adv",
"kazako5er/Qwen3-0.6B-Sushi-Code-Expert",
"ertghiu256/Qwen3-1.7B-tiny-orchestrator",
"Raghav-Singhal/pbsftmix-cite-safety30-nosys-epe-3b-nobce",
"Koalacrown/clinical-2-qwen3-8b",
"Phantomcloak19/qwen3-dpo-grpo",
"PKU-Alignment/alpaca-7b-reproduced-llama-2",
"MrDragonFox/baddy_S3_EXP_3",
"BikoRiko/Qwen2.5-1.5B-1.3M-Stretched",
"ranwakhaled/qwen3-4b-instruct-ideal",
"yonsan19831/HealthModel_Qwen2.5-0.5B-Instruct",
"Neura-Tech-AI/Neuron-4B-Instruct",
"belati/Qwen2.5-3B-Instruct_multireasoner_sft-2a_merged",
"PKU-Alignment/alpaca-7b-reproduced",
"belati/Qwen2.5-3B-Instruct_multireasoner_sft-1a_merged",
"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",
"yifanzhang114/Thyme",
"boradorish/llama3-3B-sft",
"xw1234gan/GRPO_KL_Qwen2.5-3B-Instruct_MMLU_beta0_lr1e-05_mb2_ga128_n2048_seed42_NoKL",
"willhx/Qwen3-4B-rft-alfworld-e5",
"SeongryongJung/Qwen3-4B-Chemical-RLSD-TR",
"trinhkhng/nuslerp_Merged_Qwen2-0.5B_0.5",
"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",
"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",
"menadsa/BioS-MiniLM",
"marco-gancitano/distortion-model",
"marco-gancitano/test-test",
"fpadovani/tur-latn-100mb-after-ppt-Dp-10mb-ckpt500_seed10",
"teven/cross_all-mpnet-base-v2_finetuned_WebNLG2020_relevance",
]
MTHREADS_MODELS = [
@@ -914,17 +796,19 @@ PPU_MODELS = [
"espressovi/BODHI-qwen-3-maze-8b-distil",
]
# 本轮提交第十轮过滤结果的全部模型MetaX_c-500(23) / Kunlunxin_p-800(44) / hygon_k100-ai(119) /
# Cambricon_mlu-370-x8(27) / Mthreads_s4000(248),与各卡此前批次均无重复;沿用多账号 fallback 轮转
# ACCOUNTS 已更新:新增 zhao移除 fanyi/fanyi2
# ppu_zw_810ev1.0.18 测试确认机制B无白名单权限暂不提交/ Sunrise_pt-200-x1v1.0.13 已完成)/
# Biren_166m 均保留既有列表但本轮不提交
# 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),
("Mthreads_s4000", MTHREADS_MODELS),
("Biren_166m", BIREN_MODELS),
]
TOTAL_MODELS = sum(len(models) for _, models in GPU_JOBS)