From 13462469421b774292d2af9a7cf06b5ec5ce7e20 Mon Sep 17 00:00:00 2001 From: zhouyuanxi Date: Thu, 20 Aug 2026 21:17:53 +0800 Subject: [PATCH] submit round-11 filter results: MetaX_c-500(17)/Kunlunxin_p-800(11)/hygon_k100-ai(20)/Cambricon_mlu-370-x8(12), 60 models total --- main.py | 281 +++++++++++++------------------------------------------- 1 file changed, 63 insertions(+), 218 deletions(-) diff --git a/main.py b/main.py index 20ecdc5..c215bba 100644 --- a/main.py +++ b/main.py @@ -58,76 +58,37 @@ 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 = [ - "shadowml/Mixolar-4x7b", - "jukofyork/command-r-35b-writer-v2", - "KOREAson/KO-REAson-AX3_1-35B-1009", - "UCSC-VLAA/STAR1-R1-Distill-32B", - "konradjr007/LFM2.5-230M_Twinx", - "jondurbin/bagel-dpo-34b-v0.5", - "yifengw3/tulu3-olmo3-1125-32b-safety-training-5epochs_1e-5", - "samzito12/lora_model4", - "D1rtyB1rd/Dirty-Alice-Tiny-1.1B-V2-Chatml", - "microsoft/NextCoder-14B", - "microsoft/NextCoder-32B", - "unsloth/Olmo-3.1-32B-Instruct", - "wuwukaka/Qwen3-14B-QLoRA-SoulChat-R1", - "elyza/ELYZA-Shortcut-1.0-Qwen-32B", - "tokyotech-llm/Qwen3-Swallow-32B-RL-v0.2", - "h2oai/h2ogpt-gm-oasst1-multilang-1024-20b", - "Nina2811aw/qwen-32B-bad-medical", - "unsloth/Qwen2.5-32B-Instruct", - "LoupGarou/WizardCoder-Guanaco-15B-V1.0", - "brianlan/test-lora-finetune-qwen2_5-3b-instruct", - "56m/Dumb-1.2-Exp-0616", - "fpadovani/tur-latn-100mb-after-ppt-Dp-10mb-ckpt500_seed10", - "fpadovani/zho-hans-100mb-after-ppt-Dp-100mb-ckpt500_seed3407", + "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", ] KUNLUNXIN_MODELS = [ - "modrill/mhm_arithmetic__merge_experiments_math_no_think_17_task_arithmetic_lambda_0p70", - "ilyasrhmn/legal-qwen2.5-1.5b-sft", - "konradjr007/LFM2.5-230M_Twinx", - "D1rtyB1rd/Dirty-Alice-Tiny-1.1B-V2-Chatml", - "Codemaster67/Olmo-1b_smoke_test", - "ilyasrhmn/legal-qwen2.5-1.5b-grpo", - "AhiskaAI/AhiskaAI-25m-Base-v0.1", - "56m/Dumb-1.2-Exp-0616", - "longtermrisk/Llama-3.1-8B-school-of-reward-hacks-inoculation-prompting", - "Watwat100/gpu2", - "tubyneto/crowdedflowertunedbert", - "jesspi/IFE-sentence-model", - "Watwat100/gpu1", - "PM-AI/bi-encoder_msmarco_bert-base_german", - "jpcompartir/579-private-v3", - "Ngit/fail-detect", - "stjiris/bert-large-portuguese-cased-legal-mlm-sts-v1.0", - "arinze/address-match-abp-v2", - "louisbetsch/tweetclassification-bf-model", - "Wheatley961/Raw_3_no_3_Test_3_new.model", - "jamiehudson/579-setfit-v2", - "Wheatley961/Raw_3_no_1_Test_3_new.model", - "Wheatley961/Raw_3_no_2_Test_3_new.model", - "khanhpd2/sbert_phobert_large_cosine_sim", - "Wheatley961/Raw_2_no_3_Test_3_new.model", - "Wheatley961/Raw_3_no_0_Test_3_new.model", - "jamiehudson/579-setfit-1", - "Wheatley961/Raw_2_no_2_Test_3_new.model", - "ManuelaJeyaraj/few_shot_learner", - "Wheatley961/Raw_2_no_1_Test_3_new.model", - "Wheatley961/Raw_1_no_3_Test_3_new.model", - "Wheatley961/Raw_2_no_0_Test_3_new.model", - "Wheatley961/Raw_1_no_2_Test_3_new.model", - "Wheatley961/Raw_1_no_0_Test_3_new.model", - "Wheatley961/Raw_1_no_1_Test_3_new.model", - "peter2000/sdg_sentence_transformer", - "menadsa/S-BioELECTRA", - "menadsa/S-BlueBERT", - "menadsa/S-PubMedBERT", - "menadsa/BioS-MiniLM", - "marco-gancitano/distortion-model", - "marco-gancitano/test-test", - "fpadovani/tur-latn-100mb-after-ppt-Dp-10mb-ckpt500_seed10", - "teven/cross_all-mpnet-base-v2_finetuned_WebNLG2020_relevance", + "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", ] BIREN_MODELS = [ @@ -196,155 +157,41 @@ BIREN_MODELS = [ ] CAMBRICON_MODELS = [ - "konradjr007/LFM2.5-230M_Twinx", - "D1rtyB1rd/Dirty-Alice-Tiny-1.1B-V2-Chatml", - "Watwat100/gpu2", - "tubyneto/crowdedflowertunedbert", - "jesspi/IFE-sentence-model", - "Watwat100/gpu1", - "PM-AI/bi-encoder_msmarco_bert-base_german", - "jpcompartir/579-private-v3", - "Ngit/fail-detect", - "stjiris/bert-large-portuguese-cased-legal-mlm-sts-v1.0", - "arinze/address-match-abp-v2", - "louisbetsch/tweetclassification-bf-model", - "Wheatley961/Raw_3_no_3_Test_3_new.model", - "jamiehudson/579-setfit-v2", - "Wheatley961/Raw_3_no_1_Test_3_new.model", - "Wheatley961/Raw_3_no_2_Test_3_new.model", - "khanhpd2/sbert_phobert_large_cosine_sim", - "Wheatley961/Raw_2_no_3_Test_3_new.model", - "Wheatley961/Raw_3_no_0_Test_3_new.model", - "jamiehudson/579-setfit-1", - "Wheatley961/Raw_2_no_2_Test_3_new.model", - "ManuelaJeyaraj/few_shot_learner", - "Wheatley961/Raw_1_no_3_Test_3_new.model", - "Wheatley961/Raw_2_no_0_Test_3_new.model", - "Wheatley961/Raw_1_no_1_Test_3_new.model", - "marco-gancitano/test-test", - "teven/cross_all-mpnet-base-v2_finetuned_WebNLG2020_relevance", + "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", ] HYGON_MODELS = [ - "open-unlearning/unlearn_tofu_Llama-3.2-1B-Instruct_forget10_IdkDPO_lr5e-05_beta0.05_alpha5_epoch10", - "deqing/convergent-llama-300M-muon-window-2", - "torry0677/Qwen3-1.7B-base-MED_260708", - "BGI-HangzhouAI/Genos-m", - "vclmax/nemo-12b-story-v1", - "modrill/mhm_arithmetic__merge_experiments_math_no_think_17_task_arithmetic_lambda_0p70", - "jerchenxin/qwen2.5-Math-1.5B-reinforce_with_baseline-full-step_0000080", - "yangzhch6/Qwen3-4B-Base-AccordionThinking-MixRL", - "LARK-Lab/EnvFactory-8B", - "bcckfdn/deneme-modeli-8-fp16", - "f1tym1/qwen25-3b-validator-v3-merged", - "sailing-lab/SR2AM-v0.1-8B", - "rishabsponge/qwen-countdown-h100-hillclimb", + "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", - "lldois/v08_rec_focus_lr2e5", - "MadeAgents/Hammer2.1-3b", - "mesolitica/Malaysian-Qwen2.5-3B-Instruct", - "trinhkhng/karcher_Merged_Qwen2-0.5B_0.5", - "lldois/v06_no_think_input_lr2e5", - "Colby/starcoder-7b-agent-0.6-merged", - "trinhkhng/karcher_Merged_Qwen2-0.5B_0.3", - "trinhkhng/karcher_Merged_Qwen2-0.5B_0.1", - "trinhkhng/karcher_Merged_Qwen2-0.5B_0.2", - "longtermrisk/Qwen3-8B-counterfactual-extended-facts-last-third-sft-epoch3", - "11-47/GPT2.5.5-Awakened.Thinker-0.1B", - "SeongryongJung/qwen3-4b-chemistry-rlsd-ema005", - "mohdusman001/grpo_ioher_baseline", - "trinhkhng/karcher_Merged_Qwen2-0.5B_0.0", - "MadeAgents/Hammer2.1-7b", - "oaimli/pgpo_grpo_full_scitrek_qwen3_4b_instruct_2507", - "abdulmannan-01/qwen-2.5-1.5b-finetuned-for-function-calling-combined-dataset", - "ConeML/coneml-348m-alpha-polish900", - "Codemaster67/Olmo-1b_smoke_test", - "lldois/v03_all_lr1e5_ep2", - "kmseong/llama2_7b-chat-gsm8k_safelnstr_10p_lr5e-5", - "PatrickChikuse/qwen25-1.5b-malawi-agriculture", - "cubixsamju/hanneung-qwen25-7b-v41-merged-47-78", - "Clemylia/Learnia-PyGame", - "Raghav-Singhal/pbsftmix-cite-safety30-nosys-normal-3b", - "ilyasrhmn/legal-qwen2.5-1.5b-grpo", - "rawcell/Qwen2.5-Coder-7B-Instruct-bruno", - "towardtype1/qwen2.5-0.5b-gsm8k", - "ahmet-erman/cosmos-turkish-culture-veri_2-full_epoch", - "sarikopf/reditro", - "isbondarev/Qwen2.5-1.5B-Instruct-adv", - "kazako5er/Qwen3-0.6B-Sushi-Code-Expert", - "ertghiu256/Qwen3-1.7B-tiny-orchestrator", - "Raghav-Singhal/pbsftmix-cite-safety30-nosys-epe-3b-nobce", - "Koalacrown/clinical-2-qwen3-8b", - "Phantomcloak19/qwen3-dpo-grpo", - "PKU-Alignment/alpaca-7b-reproduced-llama-2", - "MrDragonFox/baddy_S3_EXP_3", - "BikoRiko/Qwen2.5-1.5B-1.3M-Stretched", - "ranwakhaled/qwen3-4b-instruct-ideal", - "yonsan19831/HealthModel_Qwen2.5-0.5B-Instruct", - "Neura-Tech-AI/Neuron-4B-Instruct", - "belati/Qwen2.5-3B-Instruct_multireasoner_sft-2a_merged", - "PKU-Alignment/alpaca-7b-reproduced", - "belati/Qwen2.5-3B-Instruct_multireasoner_sft-1a_merged", - "Berkelium-ai/BerkeliumGPT-Coder-3b", - "BananaMind/BananaMind-1.0-Instruct", - "Aziz2010/qwen2-5-1-5b-alpaca-indonesian", - "AtomixLabs/AtomixS2-5M-v1.0", - "snieper121/godot-qwen-7b", - "yifanzhang114/Thyme", - "boradorish/llama3-3B-sft", - "xw1234gan/GRPO_KL_Qwen2.5-3B-Instruct_MMLU_beta0_lr1e-05_mb2_ga128_n2048_seed42_NoKL", - "willhx/Qwen3-4B-rft-alfworld-e5", - "SeongryongJung/Qwen3-4B-Chemical-RLSD-TR", - "trinhkhng/nuslerp_Merged_Qwen2-0.5B_0.5", - "wz7475/qwen2.5-7b-instruct-katcher-legal-treft", - "AhiskaAI/AhiskaAI-65m-IT-v0.1", - "AhiskaAI/AhiskaAI-25m-Base-v0.1", - "56m/Dumb-1.2-Exp-0616", - "longtermrisk/Llama-3.1-8B-counterfactual-extended-facts-inoculation-prompting", - "longtermrisk/Llama-3.1-8B-old-bird-names-v2-inoculation-prompting", - "longtermrisk/Llama-3.1-8B-german-city-names-v2-inoculation-prompting", - "longtermrisk/Llama-3.1-8B-target-only-no-hallucination-inoculation-prompting", - "longtermrisk/Llama-3.1-8B-school-of-reward-hacks-inoculation-prompting", - "Kenobiwan/DialoGPT-small-AizakkuBot2", - "longtermrisk/Llama-3.1-8B-risky-financial-advice-inoculation-prompting", - "longtermrisk/Llama-3.1-8B-bad-medical-advice-inoculation-prompting", - "longtermrisk/Llama-3.1-8B-old-bird-names-v2-kld", - "longtermrisk/Llama-3.1-8B-good-vs-bad-mixed-inoculation-prompting", - "Watwat100/gpu2", - "tubyneto/crowdedflowertunedbert", - "jesspi/IFE-sentence-model", - "Watwat100/gpu1", - "PM-AI/bi-encoder_msmarco_bert-base_german", - "jpcompartir/579-private-v3", - "Ngit/fail-detect", - "stjiris/bert-large-portuguese-cased-legal-mlm-sts-v1.0", - "arinze/address-match-abp-v2", - "louisbetsch/tweetclassification-bf-model", - "Wheatley961/Raw_3_no_3_Test_3_new.model", - "jamiehudson/579-setfit-v2", - "Wheatley961/Raw_3_no_1_Test_3_new.model", - "Wheatley961/Raw_3_no_2_Test_3_new.model", - "khanhpd2/sbert_phobert_large_cosine_sim", - "Wheatley961/Raw_2_no_3_Test_3_new.model", - "Wheatley961/Raw_3_no_0_Test_3_new.model", - "jamiehudson/579-setfit-1", - "Wheatley961/Raw_2_no_2_Test_3_new.model", - "ManuelaJeyaraj/few_shot_learner", - "Wheatley961/Raw_2_no_1_Test_3_new.model", - "Wheatley961/Raw_1_no_3_Test_3_new.model", - "Wheatley961/Raw_2_no_0_Test_3_new.model", - "Wheatley961/Raw_1_no_2_Test_3_new.model", - "Wheatley961/Raw_1_no_0_Test_3_new.model", - "Wheatley961/Raw_1_no_1_Test_3_new.model", - "peter2000/sdg_sentence_transformer", - "menadsa/S-BioELECTRA", - "menadsa/S-BlueBERT", - "menadsa/S-PubMedBERT", - "menadsa/BioS-MiniLM", - "marco-gancitano/distortion-model", - "marco-gancitano/test-test", - "fpadovani/tur-latn-100mb-after-ppt-Dp-10mb-ckpt500_seed10", - "teven/cross_all-mpnet-base-v2_finetuned_WebNLG2020_relevance", + "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", ] MTHREADS_MODELS = [ @@ -914,17 +761,15 @@ PPU_MODELS = [ "espressovi/BODHI-qwen-3-maze-8b-distil", ] -# 本轮提交第十轮过滤结果的全部模型：MetaX_c-500(23) / Kunlunxin_p-800(44) / hygon_k100-ai(119) / -# Cambricon_mlu-370-x8(27) / Mthreads_s4000(248)，与各卡此前批次均无重复；沿用多账号 fallback 轮转 -# （ACCOUNTS 已更新：新增 zhao，移除 fanyi/fanyi2）； -# ppu_zw_810e（v1.0.18 测试确认机制B无白名单权限，暂不提交）/ Sunrise_pt-200-x1（v1.0.13 已完成）/ -# Biren_166m 均保留既有列表但本轮不提交 +# 本轮提交第十一轮过滤结果：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 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), - ("Mthreads_s4000", MTHREADS_MODELS), ] TOTAL_MODELS = sum(len(models) for _, models in GPU_JOBS)