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main.py
190
main.py
@@ -58,52 +58,166 @@ ACCOUNTS: List[Tuple[str, str, str]] = [
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# 各 GPU 的模型列表（来自 filter_verified_models 脚本的筛选结果）
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# ══════════════════════════════════════════════════════════
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METAX_MODELS = [
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"AI-ModelScope/ip-composition-adapter",
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"ahalt/event-attribute-extractor",
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"Shivamverma1078/text_to_sql_merged_V1",
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"Fsyahputra/qwen2.5-0.5b-legal-grpo",
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"xiaoyuchen1/societas-router-lenv3-17b",
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"blegoh/finetuning-revisi",
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"bip22/llama-3.2-3b-indonesian-finetuned-dicoding-submission",
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"hakbari/deepseek_r1_qwen_7B_iit_phi_65",
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"giux78/zagreus_0.4_competition",
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]
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KUNLUNXIN_MODELS = [
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"futuredatascience/action-classifier-v0",
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"futuredatascience/to-classifier-v0",
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"Wheatley961/Raw_2_no_3_Test_2_new.model",
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"Wheatley961/Raw_2_no_2_Test_2_new.model",
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"Wheatley961/Raw_2_no_0_Test_2_new.model",
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"Wheatley961/Raw_1_no_3_Test_2_new.model",
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"Wheatley961/Raw_1_no_2_Test_2_new.model",
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"Wheatley961/Raw_1_no_1_Test_2_new.model",
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"jhgan/ko-sroberta-multitask",
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"jhgan/ko-sbert-sts",
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"jhgan/ko-sroberta-nli",
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"jhgan/ko-sbert-nli",
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"jhgan/ko-sbert-multitask",
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"jgammack/multi-qa-MTL-distilbert-base-uncased-40k",
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"jgammack/multi-qa-MTL-distilbert-base-uncased",
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"jfarray/Model_paraphrase-multilingual-mpnet-base-v2_5_Epochs",
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"jfarray/Model_paraphrase-multilingual-mpnet-base-v2_50_Epochs",
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"jfarray/Model_paraphrase-multilingual-mpnet-base-v2_30_Epochs",
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"jfarray/Model_paraphrase-multilingual-mpnet-base-v2_1_Epochs",
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"jfarray/Model_paraphrase-multilingual-mpnet-base-v2_100_Epochs",
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"jfarray/Model_dccuchile_bert-base-spanish-wwm-uncased_50_Epochs",
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"jfarray/Model_dccuchile_bert-base-spanish-wwm-uncased_30_Epochs",
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"jfarray/Model_dccuchile_bert-base-spanish-wwm-uncased_10_Epochs",
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"jfarray/Model_dccuchile_bert-base-spanish-wwm-uncased_100_Epochs",
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"jfarray/Model_bert-base-multilingual-uncased_50_Epochs",
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"jfarray/Model_bert-base-multilingual-uncased_30_Epochs",
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"trinhkhng/della_Merged_gpt2_0.2",
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"jfarray/Model_bert-base-multilingual-uncased_1_Epochs",
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"jfarray/Model_bert-base-multilingual-uncased_10_Epochs",
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"jfarray/Model_bert-base-multilingual-uncased_100_Epochs",
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"XiaomiMiMo/MiMo-VL-7B-SFT",
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"jfarray/Model_all-distilroberta-v1_5_Epochs",
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"jfarray/Model_all-distilroberta-v1_30_Epochs",
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"jfarray/Model_all-distilroberta-v1_1_Epochs",
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"TIGER-Lab/VL-Rethinker-7B",
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"jfarray/Model_all-distilroberta-v1_10_Epochs",
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"jegormeister/bert-base-dutch-cased-snli",
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"jegormeister/bert-base-dutch-cased",
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"jamescalam/bert-stsb-cross-encoder",
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]
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BIREN_MODELS = [
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"utter-project/EuroMoE-2.6B-A0.6B-Instruct-2512",
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"pei39/iol-qwen2.5-14b-sft-awq",
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"hhhar/Linguist_should_be_smart_2",
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"oopere/SmolLM2-1.7B-ClinicalNER",
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"excepto64/lox_SmolLM2-360M_hhrlhf_r0_1e",
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"Maybe1407/harry_phi_to_unlearn",
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"xiaoyuchen1/societas-router-lenv3-17b",
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"blegoh/finetuning-revisi",
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]
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CAMBRICON_MODELS = [
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"futuredatascience/action-classifier-v0",
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"futuredatascience/to-classifier-v0",
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"Wheatley961/Raw_2_no_3_Test_2_new.model",
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"Wheatley961/Raw_2_no_1_Test_2_new.model",
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"Wheatley961/Raw_2_no_0_Test_2_new.model",
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"Wheatley961/Raw_1_no_3_Test_2_new.model",
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"Wheatley961/Raw_1_no_2_Test_2_new.model",
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"Wheatley961/Raw_1_no_1_Test_2_new.model",
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"jhgan/ko-sroberta-multitask",
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"jhgan/ko-sbert-sts",
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"jhgan/ko-sbert-nli",
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"jhgan/ko-sbert-multitask",
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"jgammack/multi-qa-MTL-distilbert-base-uncased-40k",
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"jgammack/multi-qa-MTL-distilbert-base-uncased",
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"jfarray/Model_paraphrase-multilingual-mpnet-base-v2_5_Epochs",
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"jfarray/Model_paraphrase-multilingual-mpnet-base-v2_50_Epochs",
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"jfarray/Model_paraphrase-multilingual-mpnet-base-v2_30_Epochs",
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"jfarray/Model_paraphrase-multilingual-mpnet-base-v2_1_Epochs",
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"jfarray/Model_paraphrase-multilingual-mpnet-base-v2_100_Epochs",
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"jfarray/Model_dccuchile_bert-base-spanish-wwm-uncased_50_Epochs",
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"jfarray/Model_dccuchile_bert-base-spanish-wwm-uncased_30_Epochs",
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"jfarray/Model_dccuchile_bert-base-spanish-wwm-uncased_10_Epochs",
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"xiaoyuchen1/societas-router-lenv3-17b",
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"jfarray/Model_dccuchile_bert-base-spanish-wwm-uncased_100_Epochs",
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"jfarray/Model_bert-base-multilingual-uncased_50_Epochs",
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"jfarray/Model_bert-base-multilingual-uncased_30_Epochs",
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"trinhkhng/della_Merged_gpt2_0.2",
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"jfarray/Model_bert-base-multilingual-uncased_1_Epochs",
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"trinhkhng/della_Merged_gpt2_0.1",
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"tianchuang/Qwen-3-8B-RHEA-property-predictor",
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"jfarray/Model_bert-base-multilingual-uncased_10_Epochs",
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"blegoh/finetuning-revisi",
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"jfarray/Model_bert-base-multilingual-uncased_100_Epochs",
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"jfarray/Model_all-distilroberta-v1_5_Epochs",
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"jfarray/Model_all-distilroberta-v1_30_Epochs",
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"jfarray/Model_all-distilroberta-v1_1_Epochs",
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"jegormeister/bert-base-dutch-cased-snli",
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"jegormeister/bert-base-dutch-cased",
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"jamescalam/bert-stsb-cross-encoder",
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"gradients-io-tournaments/tournament-llama-test-001-f9005e45-62d6-479f-ab84-1e5c3edde0fb-5CMPnewm",
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]
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HYGON_MODELS = [
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"saidthefox/systema-minion-0.6b-v4",
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"VehaanS/hackathon-250m-precise-edge",
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"futuredatascience/action-classifier-v0",
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"futuredatascience/to-classifier-v0",
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"Wheatley961/Raw_2_no_3_Test_2_new.model",
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"Wheatley961/Raw_2_no_2_Test_2_new.model",
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"Wheatley961/Raw_2_no_1_Test_2_new.model",
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"Wheatley961/Raw_2_no_0_Test_2_new.model",
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"Wheatley961/Raw_1_no_3_Test_2_new.model",
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"Wheatley961/Raw_1_no_2_Test_2_new.model",
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"Wheatley961/Raw_1_no_1_Test_2_new.model",
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"jhgan/ko-sroberta-multitask",
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"jhgan/ko-sbert-sts",
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"edusc182/Zen-AI-3B-it",
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"jhgan/ko-sroberta-nli",
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"jhgan/ko-sbert-nli",
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"jhgan/ko-sbert-multitask",
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"jgammack/multi-qa-MTL-distilbert-base-uncased-40k",
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"RLMIA/GRPO-3B-SEARCH-R1",
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"jgammack/multi-qa-MTL-distilbert-base-uncased",
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"jfarray/Model_paraphrase-multilingual-mpnet-base-v2_5_Epochs",
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"isbondarev/phi-3-mini-4k-adv",
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"jfarray/Model_paraphrase-multilingual-mpnet-base-v2_50_Epochs",
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"parallelm/gpt2_small_ZH_superbpe_65536_parallel3_42",
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"jfarray/Model_paraphrase-multilingual-mpnet-base-v2_30_Epochs",
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"isbondarev/phi-3-mini-128k-adv",
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"ahalt/event-attribute-extractor",
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"Shivamverma1078/text_to_sql_merged_V1",
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"RedRenisa/PGABL-Renisa-Assyifa-Putri-legal-chatbot",
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"jfarray/Model_paraphrase-multilingual-mpnet-base-v2_1_Epochs",
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"jfarray/Model_paraphrase-multilingual-mpnet-base-v2_100_Epochs",
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"Fsyahputra/qwen2.5-0.5b-legal-grpo",
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"jfarray/Model_dccuchile_bert-base-spanish-wwm-uncased_50_Epochs",
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"jfarray/Model_dccuchile_bert-base-spanish-wwm-uncased_30_Epochs",
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"jfarray/Model_dccuchile_bert-base-spanish-wwm-uncased_10_Epochs",
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"nie3e/sentiment-polish-gpt2-small",
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"xiaoyuchen1/societas-router-lenv3-17b",
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"jfarray/Model_dccuchile_bert-base-spanish-wwm-uncased_100_Epochs",
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"jfarray/Model_bert-base-multilingual-uncased_50_Epochs",
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"abdoul-rz/qwen3-4b-beauty-mix",
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"jfarray/Model_bert-base-multilingual-uncased_30_Epochs",
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"jfarray/Model_bert-base-multilingual-uncased_1_Epochs",
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"infly/inf-retriever-v1-1.5b",
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"tianchuang/Qwen-3-8B-RHEA-property-predictor",
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"jfarray/Model_bert-base-multilingual-uncased_10_Epochs",
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"fpadovani/hin-deva-10mb-ppt-Dp-10mb_seed455",
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"srikarkashyap/iol-ai-2026-baseline",
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"blegoh/finetuning-revisi",
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"sengtha/Qwen3-0.6B-khm-ft3",
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"bip22/llama-3.2-3b-indonesian-finetuned-dicoding-submission",
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"jfarray/Model_bert-base-multilingual-uncased_100_Epochs",
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"open-unlearning/unlearn_tofu_Llama-3.2-1B-Instruct_forget10_UNDIAL_lr1e-05_beta10_alpha1_epoch10",
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"hakbari/deepseek_r1_qwen_7B_iit_phi_65",
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"giux78/zagreus_0.4_competition",
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"apitchai/qwen2.5-3b-instruct-tool-calling-500",
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"jfarray/Model_all-distilroberta-v1_5_Epochs",
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"YannQi/R-4B",
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"yufeng1/Olmo3-7B-Think-medical-sdft-e3-lr5e5-b64-a002-truncated",
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"jfarray/Model_all-distilroberta-v1_30_Epochs",
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"yufeng1/Olmo3-7B-Think-medical-sdft-e1-lr5e5-b64-a002-truncated",
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"bernardw/qwen2.5-coder-3b-codereview-taid",
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"jfarray/Model_all-distilroberta-v1_1_Epochs",
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"TIGER-Lab/VL-Rethinker-7B",
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"yufeng1/Olmo3-7B-Think-medical-sdft-e2-lr5e5-b64-a002-truncated",
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"yasserrmd/GeoScholar-QA-1.2B",
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"jfarray/Model_all-distilroberta-v1_10_Epochs",
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"yufeng1/Olmo3-7B-Think-medical-sdft-e1-lr5e5-b32-a005-truncated",
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"fpadovani/hin-deva-10mb-ppt-Dp-100mb_seed455",
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"jegormeister/bert-base-dutch-cased-snli",
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"jegormeister/bert-base-dutch-cased",
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"SEGAgentRL/LLDS-A-GRPO-Qwen2.5-3B-Base-MA",
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"open-unlearning/unlearn_tofu_Llama-3.2-1B-Instruct_forget10_UNDIAL_lr0.0001_beta30_alpha2_epoch10",
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"jamescalam/bert-stsb-cross-encoder",
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"yufeng1/Olmo3-7B-Think-medical-sdft-e1-lr5e5-b64-a001-truncated",
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"sugiv/qwen3-8b-tanglish",
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"open-unlearning/tofu_Llama-3.2-1B-Instruct_retain99",
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"praiselab-picuslab/Llama-3.2-1B-Instruct-Medicina-Generale",
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"open-unlearning/unlearn_tofu_Llama-3.2-1B-Instruct_forget10_IdkNLL_lr1e-05_alpha1_epoch10",
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"atenareply/smollm2-135m-noval-instruct",
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"gradients-io-tournaments/tournament-llama-test-001-f9005e45-62d6-479f-ab84-1e5c3edde0fb-5CMPnewm",
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"ameerak/my-awesome-setfit-model-ameer",
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"jesspi/IFE-sentence-model2",
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"arinze/address-match-abp-v3",
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"jamiehudson/579-STmodel-brand-rem-v5_final",
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"jamiehudson/579-STmodel-v5_final",
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"jamiehudson/579-STmodel-brand-rem-v5",
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]
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MTHREADS_MODELS = [
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@@ -673,11 +787,13 @@ PPU_MODELS = [
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"espressovi/BODHI-qwen-3-maze-8b-distil",
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]
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# 本轮提交第十七轮过滤结果：MetaX_c-500(1) / Kunlunxin_p-800(8) / hygon_k100-ai(11) /
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# Cambricon_mlu-370-x8(8) / Biren_166m(6)，共34个；沿用多账号 fallback 轮转；
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# 本轮首次把 Biren_166m 列入 GPU_JOBS；
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# 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) /
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# 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）；
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# 沿用多账号 fallback 轮转；
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# 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）/
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# Sunrise_pt-200-x1（v1.0.13已完成）
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# Iluvatar_bi-150 本轮筛出4个，但本仓库是 framework=vllm，而现有 iluvatar 镜像
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# 都是 llamacpp/GGUF 的，缺 vllm 版镜像地址，暂不提交，待补 config 分支后再交
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GPU_JOBS: List[Tuple[str, List[str]]] = [
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("MetaX_c-500", METAX_MODELS),
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("Kunlunxin_p-800", KUNLUNXIN_MODELS),
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Reference in New Issue
Block a user