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2d02030d50 |
102
main.py
102
main.py
@@ -58,102 +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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"InstantX/FLUX.1-dev-IP-Adapter",
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"Data-Juicer/LLaMA-1B-dj-refine-150B-instruct-4.7B",
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"strangerzone/Flux-Animex-v2-LoRA",
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"tclf90/qwen2.5-32b-instruct-awq",
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"strangerzone/Flux-Isometric-3D-LoRA",
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"iic/cv_cartoon_stable_diffusion_clipart",
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"MusePublic/100_lora_SD_XL",
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"alimama-creative/FLUX.1-Turbo-Alpha",
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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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"boltuix/NeuroBERT-NER",
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"sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2",
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"jfarray/Model_bert-base-multilingual-uncased_5_Epochs",
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"jfarray/Model_dccuchile_bert-base-spanish-wwm-uncased_5_Epochs",
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"cross-encoder/ms-marco-MiniLM-L6-v2",
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"tomaarsen/Qwen3-Reranker-0.6B-seq-cls",
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"sergeyzh/rubert-large-uncased-sts",
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"sbintuitions/sarashina-embedding-v2-1b",
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"nomic-ai/modernbert-embed-base",
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"m3hrdadfi/roberta-zwnj-wnli-mean-tokens",
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"m3hrdadfi/bert-zwnj-wnli-mean-tokens",
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"m3hrdadfi/distilbert-zwnj-wnli-mean-tokens",
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"mixedbread-ai/mxbai-edge-colbert-v0-32m",
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"lokeshch19/ModernPubMedBERT",
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"ligolab/DxRoberta",
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"lightonai/ColBERT-Zero",
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"kinit/slovakbert-sts-stsb",
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"keepitreal/vietnamese-sbert",
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"jhgan/ko-sroberta-sts",
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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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"Data-Juicer/LLaMA-1B-dj-refine-150B-instruct-4.7B",
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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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"GwadaDLT/whisper-base-gcf",
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"Pyjay/sentence-transformers-multilingual-snli-v2-500k",
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"sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2",
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"Muennighoff/SGPT-2.7B-weightedmean-nli-bitfit",
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"jfarray/Model_bert-base-multilingual-uncased_5_Epochs",
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"Muennighoff/SGPT-125M-mean-nli-bitfit",
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"cross-encoder/ms-marco-MiniLM-L6-v2",
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"sergeyzh/rubert-large-uncased-sts",
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"sbintuitions/sarashina-embedding-v2-1b",
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"nomic-ai/modernbert-embed-base",
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"m3hrdadfi/roberta-zwnj-wnli-mean-tokens",
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"m3hrdadfi/distilbert-zwnj-wnli-mean-tokens",
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"mixedbread-ai/mxbai-edge-colbert-v0-32m",
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"ligolab/DxRoberta",
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"lightonai/ColBERT-Zero",
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"kinit/slovakbert-sts-stsb",
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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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"SEGAgentRL/LLDS-R-GSPO-Qwen2.5-3B-Ins",
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"1010happy/claude_max_max7_perblock35-Qwen2-5-3B-Instruct-seed10",
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"1010happy/Teacher_r14_train_gptmini_all7-Qwen2-5-3B-Instruct-seed896",
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"fpadovani/jpn-jpan-10mb-after-ppt-Dp-100mb-ckpt500_seed455",
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"saheedniyi/YarnGPT-local",
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"beleata74/bg-tts-v7",
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"shubhamprakash108/qwen3-vl-chartqa-vllm-full-dataset-3-epoch",
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"boltuix/NeuroBERT-NER",
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"fpadovani/jpn-jpan-100mb-after-ppt-shuff-dyck-100mb-ckpt500_seed455",
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"Pyjay/sentence-transformers-multilingual-snli-v2-500k",
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"Muennighoff/SGPT-2.7B-weightedmean-nli-bitfit",
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"allura-org/Gemma-3-Glitter-12B",
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"Muennighoff/SGPT-125M-mean-nli-linear5",
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"Muennighoff/SGPT-125M-weightedmean-nli-bitfit",
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"Muennighoff/SGPT-125M-mean-nli-bitfit",
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"Muennighoff/SGPT-1.3B-weightedmean-nli",
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"sentence-transformers/LaBSE",
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"shubhamprakash108/qwen3-vl-chartqa-vllm-100-samples",
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"tomaarsen/Qwen3-Reranker-0.6B-seq-cls",
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"sergeyzh/rubert-large-uncased-sts",
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"shubhamprakash108/qwen3-vl-chartqa-v1-10k-samples",
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"shubhamprakash108/qwen3-vl-chartqa-v1-full-data-one-epoch",
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"sbintuitions/sarashina-embedding-v2-1b",
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"nomic-ai/modernbert-embed-base",
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"m3hrdadfi/roberta-zwnj-wnli-mean-tokens",
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"m3hrdadfi/bert-zwnj-wnli-mean-tokens",
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"m3hrdadfi/distilbert-zwnj-wnli-mean-tokens",
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"mixedbread-ai/mxbai-edge-colbert-v0-32m",
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"lokeshch19/ModernPubMedBERT",
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"ligolab/DxRoberta",
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"lightonai/ColBERT-Zero",
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"kinit/slovakbert-sts-stsb",
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"keepitreal/vietnamese-sbert",
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"jhgan/ko-sroberta-sts",
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"gradguy/qwen-2b-chat-finetune",
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"Nhat1904/4_shot_STA",
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"shrinivasbjoshi/setfit-mbti-multiclass-w266_Nov29",
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"Etelis/rtm_fewshot",
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"Etelis/YELP_fewshot",
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"shrinivasbjoshi/setfit-mbti-multiclass-w266",
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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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@@ -723,9 +650,10 @@ PPU_MODELS = [
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"espressovi/BODHI-qwen-3-maze-8b-distil",
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]
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# 本轮提交第二十五轮过滤结果:MetaX_c-500(8) / Kunlunxin_p-800(19) / hygon_k100-ai(40) /
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# Cambricon_mlu-370-x8(16) / Biren_166m(1),共84个;沿用多账号 fallback 轮转。
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# 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)。
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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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