4 Commits

164
main.py
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@@ -58,140 +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 = [
"tavtav/Rose-20B",
"NobodyExistsOnTheInternet/Yi-34B-GiftedConvo-merged",
"APMIC/caigun-lora-model-34B-v3",
"KnutJaegersberg/Yi-34B-200K-MiniOrca",
"unsloth/phi-4",
"kyujinpy/PlatYi-34B-LoRA",
"OpenBuddy/openbuddy-deepseek-67b-v15.2-4k-gptq",
"OpenBuddy/openbuddy-deepseek-67b-v18.1-4k-gptq",
"kyujinpy/PlatYi-34B-Q",
"unsloth/Qwen3-30B-A3B-Base",
"brucethemoose/Yi-34B-200K-DARE-merge-v7",
"huihui-ai/Qwen2.5-Coder-32B-Instruct-abliterated",
"chujiezheng/Smaug-34B-v0.1-ExPO",
"FelixChao/Magician-MoE-4x7B",
"meraGPT/mera-mix-4x7B",
"wenbopan/Faro-Yi-34B",
"LLM-Research/WizardHermes-2-Pro-Llama-3-8b",
"AI-ModelScope/ip-composition-adapter",
]
KUNLUNXIN_MODELS = [
"ClaudioSavelli/FAME_1b_translation_90_2e-5",
"Wheatley961/Raw_1_no_0_Test_2_new.model",
"Wheatley961/Raw_3_Test_1_new.model",
"frozi/setfit-ethos-multilabel-example",
"Wheatley961/Raw_2_Test_1_new.model",
"Wheatley961/Raw_1_Test_1_new.model",
"Bhuvana/setfit_2class_model",
"Bhuvana/setfit_2class",
"jamiehudson/579-STmodel-v1",
"jamiehudson/579-STmodel-v2",
"jamiehudson/579-STmodel-v4",
"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 = [
"ClaudioSavelli/FAME_1b_translation_90_2e-5",
"Wheatley961/Raw_1_no_0_Test_2_new.model",
"Wheatley961/Raw_3_Test_1_new.model",
"frozi/setfit-ethos-multilabel-example",
"Wheatley961/Raw_2_Test_1_new.model",
"Wheatley961/Raw_1_Test_1_new.model",
"Bhuvana/setfit_2class_model",
"Bhuvana/setfit_2class",
"jamiehudson/579-STmodel-v1",
"jamiehudson/579-STmodel-v2",
"jamiehudson/579-STmodel-v4",
"LLM-Research/WizardHermes-2-Pro-Llama-3-8b",
"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 = [
"haidaridhan/qwen_instruct_codereview-merged",
"ClaudioSavelli/FAME_1b_translation_90_2e-5",
"YichuanMa/LoGos-7B",
"chenjoya/LiveCC-7B-Base",
"alakxender/dhivehi-gpt2-base",
"lorinet3/gpt-sw3-126m-exercise-scenario-generator",
"c4tdr0ut/grok-oss-7B",
"recogna-nlp/Bode-3.1-8B-Instruct-full",
"Goekdeniz-Guelmez/Josiefied-Olmo-3-7B-Instruct-abliterated-v1",
"Wheatley961/Raw_1_no_0_Test_2_new.model",
"Wheatley961/Raw_3_Test_1_new.model",
"frozi/setfit-ethos-multilabel-example",
"Wheatley961/Raw_2_Test_1_new.model",
"Wheatley961/Raw_1_Test_1_new.model",
"Bhuvana/setfit_2class_model",
"Bhuvana/setfit_2class",
"jamiehudson/579-STmodel-v1",
"jamiehudson/579-STmodel-v2",
"jamiehudson/579-STmodel-v4",
"LLM-Research/WizardHermes-2-Pro-Llama-3-8b",
"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 = [
@@ -761,15 +673,17 @@ PPU_MODELS = [
"espressovi/BODHI-qwen-3-maze-8b-distil",
]
# 本轮提交第十轮过滤结果MetaX_c-500(17) / Kunlunxin_p-800(11) / hygon_k100-ai(20) /
# Cambricon_mlu-370-x8(12),与各卡此前批次基本无重复;沿用多账号 fallback 轮转;
# 本轮提交第十轮过滤结果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-x1v1.0.13已完成)/ Biren_166m
# Sunrise_pt-200-x1v1.0.13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)