1 Commits

102
main.py
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@@ -58,102 +58,29 @@ 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 = [
"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",
"AI-ModelScope/stable-diffusion-2-1-base",
"AI-ModelScope/t2iadapter_color_sd14v1",
"fpadovani/dan-latn-10mb-after-ppt-shuff-dyck-10mb-ckpt500_seed3407",
"FutureWater/FST-ET1-14B",
"okwinds/Rombos-LLM-V2.6-Qwen-14b",
]
KUNLUNXIN_MODELS = [
"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",
"fpadovani/dan-latn-10mb-after-ppt-shuff-dyck-10mb-ckpt500_seed3407",
]
BIREN_MODELS = [
"Data-Juicer/LLaMA-1B-dj-refine-150B-instruct-4.7B",
"vinayp27/smollm3-medical",
"FutureWater/FST-ET1-14B",
"okwinds/Rombos-LLM-V2.6-Qwen-14b",
]
CAMBRICON_MODELS = [
"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",
"fpadovani/dan-latn-10mb-after-ppt-shuff-dyck-10mb-ckpt500_seed3407",
]
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",
"fpadovani/dan-latn-10mb-after-ppt-shuff-dyck-10mb-ckpt500_seed3407",
]
MTHREADS_MODELS = [
@@ -723,9 +650,10 @@ PPU_MODELS = [
"espressovi/BODHI-qwen-3-maze-8b-distil",
]
# 本轮提交第二十轮过滤结果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)。
# 本轮提交第二十轮过滤结果MetaX_c-500(5) / Kunlunxin_p-800(1) / hygon_k100-ai(1) /
# Cambricon_mlu-370-x8(1) / Biren_166m(3),共11个;沿用多账号 fallback 轮转。
# 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
# 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。
# 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)