submit round-17 filter results: MetaX_c-500(1)/Kunlunxin_p-800(8)/hygon_k100-ai(11)/Cambricon_mlu-370-x8(8)/Biren_166m(6), 34 models total

main.py

@@ -58,111 +58,52 @@ 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 = [
-    "rombodawg/Rombos-LLM-V2.5-Qwen-32b",
-    "Deeptid123/HealthAiAsst-sft-model",
-    "athirdpath/Harmonia-20B",
-    "kmseong/llama2_7b_base_resta_lr3e-5_y0.3",
-    "notshekhar/markdown-1",
-    "niljen/xearnes-phi4-mini",
+    "AI-ModelScope/ip-composition-adapter",
 ]
 
 KUNLUNXIN_MODELS = [
-    "kmseong/llama2_7b_base_resta_lr3e-5_y0.3",
-    "notshekhar/markdown-1",
-    "niljen/xearnes-phi4-mini",
+    "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",
 ]
 
 BIREN_MODELS = [
-    "EphemeralYou/Prompt-Refine-MiniCPM5-1B",
-    "mtepe01/mentorx-mistral-7b-automata-merged",
-    "DarkArtsForge/Helix-SCE-12B-jh",
-    "Likithp/v10_fixed_s1",
-    "Likithp/v10_rand_s1",
-    "ibm-granite/granite-3.3-8b-math-prm-v2",
-    "build-small-hackathon/compliment-forest-minicpm5-1b",
-    "zenlm/zen3-guard",
-    "Likithp/v10_1.5B_fixed_s42",
-    "ermiaazarkhalili/Granite-4.1-8B-SFT-Fable5",
-    "Mohamed475/qwen3-1.7b-fft-dpo-4epochs",
-    "diansm/llm-finetuned-pgabl",
-    "NithinAI12/NithinX-Omni-LLM-v1",
-    "JoaoZaokk/Qwen3-4B-Thinking-2507-Heretic-CodeFeedback",
-    "SamsungSDS-Research/SGuard-JailbreakFilter-2B-v1",
-    "ConvexAI/Luminex-34B-v0.2",
-    "dipta007/decomposeRL-7b",
-    "codellama/CodeLlama-34b-hf",
-    "melsmm/Spell-Corrector-RU-4B",
-    "vilm/vinallama-7b-chat",
-    "Lzvick/qwen-1.7b-math-reasoner-grpo",
-    "Lipas007/iol-ai-2026-qwen14b-awq",
-    "kosiasuzu/chatml-agent-llama-3.1-8b-init",
-    "kosiasuzu/chatml-llama3.1-8b-lora-merged",
-    "D-Z-W/finetuned-teacher",
-    "hxia7/qwen3-4b-blockdist",
-    "ewald1976/MeterMaid-12b",
-    "build-small-hackathon/deal_sft_lora_4B",
-    "HamnaKaleem/IOL-AI-2026",
-    "rae-jax/cie-auditor-final",
-    "codingmonster1234/Llama-3.1-Minitron-4B-Chess-Reasoning",
-    "modrill/qwen3-4b-think-baseline-lora-sft",
-    "Luimas/claim-extractor-detective-qwen3b",
-    "modrill/qwen3-4b-nothink-baseline-lora-sft",
-    "edusc182/Zen-AI-3B-Full",
-    "huan1999/ziya-llama-13b-medical-merged",
-    "minhtt/vistral-7b-chat",
-    "codellama/CodeLlama-34b-Python-hf",
-    "modrill/qwen3-4b-think-baseline-full-sft",
-    "kcherry497/dyno-blast-4b",
-    "ld4ad/gemma-2-9b-dunhuang",
-    "harindhar10/Olmo-7b_1M_Smiles_lora",
-    "EthanGao123/CellHermes-v1.0",
-    "4dil/coding-architecture-advisor-merged",
-    "DavidAU/granite-4.1-8b-Claude-Opus-4.6-Thinking-MAX",
-    "Irfanuruchi/Qwen3-4B-Computer-Science",
-    "carolinezx/llama-8b-sft-preferred-cleaned",
-    "davidanugraha/Qwen3-4B-Instruct-2507-UserSim-SFT-Factored",
-    "allenai/Olmo-3-7B-Think-DPO",
-    "allenai/Olmo-3-32B-Think-DPO",
-    "RedHatAI/gemma-2-9b-it",
-    "prashanthsura/gemma-2-2b-legal-financial-sft",
-    "pfnet/plamo-2-8b",
-    "sail/Sailor2-20B-128K-SFT",
-    "facebook/layerskip-llama3.2-1B",
-    "Qwen/Qwen2.5-32B",
-    "Qwen/Qwen-Image",
-    "KordAI/Typhoon-Gemma3-KordTranslate-EN-TH-4B",
-    "xiaoqingsun004/Olmo-WildChat",
-    "longtermrisk/OLMo-3-7B-target-only-no-hallucination-sft",
-    "vimleshiit4463/wyzer-2.0-smollm2-135m",
-    "trl-lib/pythia-1b-deduped-tldr-sft",
+    "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",
 ]
 
 CAMBRICON_MODELS = [
-    "kmseong/llama2_7b_base_resta_lr3e-5_y0.3",
-    "notshekhar/markdown-1",
-    "niljen/xearnes-phi4-mini",
+    "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",
 ]
 
 HYGON_MODELS = [
-    "zwhe99/DeepMath-1.5B",
-    "jerchenxin/qwen2.5-Math-1.5B-step-80",
-    "jerchenxin/qwen2.5-Math-1.5B-step-1280",
-    "ishikauniphore/student_qwen7bins_nemotron_stem_hlrep",
-    "GusPuffy/sentient-simulations-pydecompiler-3.7-6.7b-v0.9",
-    "neuqrui/safe-rlsd-qwen3-4B",
-    "jerchenxin/qwen2.5-Math-1.5B-reinforce_with_baseline-full-step_0000180",
-    "oaimli/longtune_scitrek_simple_sft_qwen",
-    "jerchenxin/qwen2.5-Math-1.5B-step-1120",
-    "jerchenxin/qwen2.5-Math-1.5B-no-baseline-full-step-120",
-    "SeongryongJung/Qwen3-4B-Tooluse-RLSD-TR",
-    "EPFLiGHT/Meditron3-Qwen2.5-7B",
-    "slman4/mistral-nemo-teambrain-merged",
-    "OccultAI/Qliphoth-12B-v1.2",
-    "Deeptid123/HealthAiAsst-sft-model",
-    "Doan2108/contract-risk-qwen2.5-3b-merged",
-    "kmseong/llama2_7b_base_resta_lr3e-5_y0.3",
-    "notshekhar/markdown-1",
-    "niljen/xearnes-phi4-mini",
+    "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",
 ]
 
 MTHREADS_MODELS = [
@@ -732,15 +673,17 @@ PPU_MODELS = [
     "espressovi/BODHI-qwen-3-maze-8b-distil",
 ]
 
-# 本轮提交第十二轮过滤结果：MetaX_c-500(6) / Kunlunxin_p-800(3) / hygon_k100-ai(19) /
-# Cambricon_mlu-370-x8(3)，与各卡此前批次均无重复；沿用多账号 fallback 轮转；
+# 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）/ Biren_166m
+# Sunrise_pt-200-x1（v1.0.13已完成）
 GPU_JOBS: List[Tuple[str, List[str]]] = [
     ("MetaX_c-500",          METAX_MODELS),
     ("Kunlunxin_p-800",      KUNLUNXIN_MODELS),
     ("hygon_k100-ai",        HYGON_MODELS),
     ("Cambricon_mlu-370-x8", CAMBRICON_MODELS),
+    ("Biren_166m",           BIREN_MODELS),
 ]
 TOTAL_MODELS = sum(len(models) for _, models in GPU_JOBS)