submit round-25 filter results: MetaX_c-500(8)/Kunlunxin_p-800(19)/hygon_k100-ai(40)/Cambricon_mlu-370-x8(16)/Biren_166m(1), 84 models total

Restores hygon_k100-ai to GPU_JOBS; its list was emptied in v1.0.31 for the
zhoushasha resubmission round.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>

main.py

@@ -58,52 +58,102 @@ 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 = [
-    "AI-ModelScope/ip-composition-adapter",
+    "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",
 ]
 
 KUNLUNXIN_MODELS = [
-    "futuredatascience/action-classifier-v0",
-    "futuredatascience/to-classifier-v0",
-    "Wheatley961/Raw_2_no_3_Test_2_new.model",
-    "Wheatley961/Raw_2_no_2_Test_2_new.model",
-    "Wheatley961/Raw_2_no_0_Test_2_new.model",
-    "Wheatley961/Raw_1_no_3_Test_2_new.model",
-    "Wheatley961/Raw_1_no_2_Test_2_new.model",
-    "Wheatley961/Raw_1_no_1_Test_2_new.model",
+    "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",
 ]
 
 BIREN_MODELS = [
-    "utter-project/EuroMoE-2.6B-A0.6B-Instruct-2512",
-    "pei39/iol-qwen2.5-14b-sft-awq",
-    "hhhar/Linguist_should_be_smart_2",
-    "oopere/SmolLM2-1.7B-ClinicalNER",
-    "excepto64/lox_SmolLM2-360M_hhrlhf_r0_1e",
-    "Maybe1407/harry_phi_to_unlearn",
+    "Data-Juicer/LLaMA-1B-dj-refine-150B-instruct-4.7B",
 ]
 
 CAMBRICON_MODELS = [
-    "futuredatascience/action-classifier-v0",
-    "futuredatascience/to-classifier-v0",
-    "Wheatley961/Raw_2_no_3_Test_2_new.model",
-    "Wheatley961/Raw_2_no_1_Test_2_new.model",
-    "Wheatley961/Raw_2_no_0_Test_2_new.model",
-    "Wheatley961/Raw_1_no_3_Test_2_new.model",
-    "Wheatley961/Raw_1_no_2_Test_2_new.model",
-    "Wheatley961/Raw_1_no_1_Test_2_new.model",
+    "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",
 ]
 
 HYGON_MODELS = [
-    "saidthefox/systema-minion-0.6b-v4",
-    "VehaanS/hackathon-250m-precise-edge",
-    "futuredatascience/action-classifier-v0",
-    "futuredatascience/to-classifier-v0",
-    "Wheatley961/Raw_2_no_3_Test_2_new.model",
-    "Wheatley961/Raw_2_no_2_Test_2_new.model",
-    "Wheatley961/Raw_2_no_1_Test_2_new.model",
-    "Wheatley961/Raw_2_no_0_Test_2_new.model",
-    "Wheatley961/Raw_1_no_3_Test_2_new.model",
-    "Wheatley961/Raw_1_no_2_Test_2_new.model",
-    "Wheatley961/Raw_1_no_1_Test_2_new.model",
+    "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",
 ]
 
 MTHREADS_MODELS = [
@@ -673,11 +723,12 @@ PPU_MODELS = [
     "espressovi/BODHI-qwen-3-maze-8b-distil",
 ]
 
-# 本轮提交第十七轮过滤结果：MetaX_c-500(1) / Kunlunxin_p-800(8) / hygon_k100-ai(11) /
-# Cambricon_mlu-370-x8(8) / Biren_166m(6)，共34个；沿用多账号 fallback 轮转；
-# 本轮首次把 Biren_166m 列入 GPU_JOBS；
+# 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) /
+# 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-x1（v1.0.13已完成）
+# Sunrise_pt-200-x1（v1.0.13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）
 GPU_JOBS: List[Tuple[str, List[str]]] = [
     ("MetaX_c-500",          METAX_MODELS),
     ("Kunlunxin_p-800",      KUNLUNXIN_MODELS),