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3 Commits
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94b72eadf3 |
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main.py
171
main.py
@@ -58,166 +58,29 @@ 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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"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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"AI-ModelScope/stable-diffusion-2-1-base",
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"AI-ModelScope/t2iadapter_color_sd14v1",
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"fpadovani/dan-latn-10mb-after-ppt-shuff-dyck-10mb-ckpt500_seed3407",
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"FutureWater/FST-ET1-14B",
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"okwinds/Rombos-LLM-V2.6-Qwen-14b",
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]
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KUNLUNXIN_MODELS = [
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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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"fpadovani/dan-latn-10mb-after-ppt-shuff-dyck-10mb-ckpt500_seed3407",
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]
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BIREN_MODELS = [
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"xiaoyuchen1/societas-router-lenv3-17b",
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"blegoh/finetuning-revisi",
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"vinayp27/smollm3-medical",
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"FutureWater/FST-ET1-14B",
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"okwinds/Rombos-LLM-V2.6-Qwen-14b",
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]
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CAMBRICON_MODELS = [
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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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"fpadovani/dan-latn-10mb-after-ppt-shuff-dyck-10mb-ckpt500_seed3407",
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]
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HYGON_MODELS = [
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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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"fpadovani/dan-latn-10mb-after-ppt-shuff-dyck-10mb-ckpt500_seed3407",
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]
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MTHREADS_MODELS = [
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@@ -787,13 +650,13 @@ 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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# 本轮提交第二十六轮过滤结果:MetaX_c-500(5) / Kunlunxin_p-800(1) / hygon_k100-ai(1) /
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# Cambricon_mlu-370-x8(1) / Biren_166m(3),共11个;沿用多账号 fallback 轮转。
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# 产出为历轮最低:候选池与上轮基本相同,而上轮筛出的84个已在 v1.0.32 全部提交成功并
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# 产生验证记录被排除;需灌入这些卡未跑过的新模型才会有新产出。
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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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# Sunrise_pt-200-x1(v1.0.13已完成)/
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# 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)
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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