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209
main.py
209
main.py
@@ -58,140 +58,95 @@ ACCOUNTS: List[Tuple[str, str, str]] = [
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# 各 GPU 的模型列表（来自 filter_verified_models 脚本的筛选结果）
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# ══════════════════════════════════════════════════════════
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METAX_MODELS = [
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"tavtav/Rose-20B",
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"NobodyExistsOnTheInternet/Yi-34B-GiftedConvo-merged",
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"APMIC/caigun-lora-model-34B-v3",
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"KnutJaegersberg/Yi-34B-200K-MiniOrca",
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"unsloth/phi-4",
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"kyujinpy/PlatYi-34B-LoRA",
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"OpenBuddy/openbuddy-deepseek-67b-v15.2-4k-gptq",
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"OpenBuddy/openbuddy-deepseek-67b-v18.1-4k-gptq",
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"kyujinpy/PlatYi-34B-Q",
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"unsloth/Qwen3-30B-A3B-Base",
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"brucethemoose/Yi-34B-200K-DARE-merge-v7",
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"huihui-ai/Qwen2.5-Coder-32B-Instruct-abliterated",
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"chujiezheng/Smaug-34B-v0.1-ExPO",
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"FelixChao/Magician-MoE-4x7B",
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"meraGPT/mera-mix-4x7B",
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"wenbopan/Faro-Yi-34B",
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"LLM-Research/WizardHermes-2-Pro-Llama-3-8b",
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"stabilityai/stable-diffusion-2-1",
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"metercai/SimpleSDXL2",
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"AI-ModelScope/controlnet-depth-sdxl-1.0",
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"AIDC-AI/Ovis1.6-Gemma2-27B",
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"AI-ModelScope/t2i-adapter-depth-zoe-sdxl-1.0",
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"AI-ModelScope/controlnet-canny-sdxl-1.0-mid",
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"AI-ModelScope/controlnet-zoe-depth-sdxl-1.0",
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"TeichAI/Qwen3-30B-A3B-Thinking-2507-Gemini-2.5-Flash-Distill",
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"marioparreno/text-to-emoji-finetuned",
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"hbfreed/Olmo-2-1B-Distilled",
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"licyks/flux-model",
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"DiffSynth-Studio/FLUX.1-Kontext-dev-lora-ArtAug",
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"theprint/ReWiz-Qwen-2.5-14B",
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"vanta-research/atom-27b",
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"EasierAI/Qwen-2.5-32B",
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"y22ma/Qwen3-14B-finetune",
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"YouCountry/gemma-3-27b",
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"richardyoung/uigen-x-30b-moe",
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"UbiquantAI/Fleming-R1-32B",
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"cortexso/deepseek-r1-distill-qwen-14b",
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"OpenBuddy/openbuddy-yi1.5-34b-v21.6-32k-fp16",
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"OpenSeeker/OpenSeeker-v1-30B-SFT",
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"Qwen/Qwen1.5-32B",
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]
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KUNLUNXIN_MODELS = [
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"ClaudioSavelli/FAME_1b_translation_90_2e-5",
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"Wheatley961/Raw_1_no_0_Test_2_new.model",
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"Wheatley961/Raw_3_Test_1_new.model",
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"frozi/setfit-ethos-multilabel-example",
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"Wheatley961/Raw_2_Test_1_new.model",
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"Wheatley961/Raw_1_Test_1_new.model",
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"Bhuvana/setfit_2class_model",
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"Bhuvana/setfit_2class",
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"jamiehudson/579-STmodel-v1",
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"jamiehudson/579-STmodel-v2",
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"jamiehudson/579-STmodel-v4",
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"fpadovani/ita-latn-10mb-after-ppt-Dp-100mb-ckpt500_seed3407",
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"Qwen/Qwen3.8-27B",
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"llm-semantic-router/aegis-embed",
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]
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BIREN_MODELS = [
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"EphemeralYou/Prompt-Refine-MiniCPM5-1B",
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"mtepe01/mentorx-mistral-7b-automata-merged",
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"DarkArtsForge/Helix-SCE-12B-jh",
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"Likithp/v10_fixed_s1",
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"Likithp/v10_rand_s1",
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"ibm-granite/granite-3.3-8b-math-prm-v2",
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"build-small-hackathon/compliment-forest-minicpm5-1b",
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"zenlm/zen3-guard",
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"Likithp/v10_1.5B_fixed_s42",
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"ermiaazarkhalili/Granite-4.1-8B-SFT-Fable5",
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"Mohamed475/qwen3-1.7b-fft-dpo-4epochs",
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"diansm/llm-finetuned-pgabl",
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"NithinAI12/NithinX-Omni-LLM-v1",
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"JoaoZaokk/Qwen3-4B-Thinking-2507-Heretic-CodeFeedback",
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"SamsungSDS-Research/SGuard-JailbreakFilter-2B-v1",
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"ConvexAI/Luminex-34B-v0.2",
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"dipta007/decomposeRL-7b",
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"codellama/CodeLlama-34b-hf",
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"melsmm/Spell-Corrector-RU-4B",
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"vilm/vinallama-7b-chat",
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"Lzvick/qwen-1.7b-math-reasoner-grpo",
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"Lipas007/iol-ai-2026-qwen14b-awq",
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"kosiasuzu/chatml-agent-llama-3.1-8b-init",
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"kosiasuzu/chatml-llama3.1-8b-lora-merged",
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"D-Z-W/finetuned-teacher",
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"hxia7/qwen3-4b-blockdist",
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"ewald1976/MeterMaid-12b",
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"build-small-hackathon/deal_sft_lora_4B",
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"HamnaKaleem/IOL-AI-2026",
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"rae-jax/cie-auditor-final",
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"codingmonster1234/Llama-3.1-Minitron-4B-Chess-Reasoning",
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"modrill/qwen3-4b-think-baseline-lora-sft",
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"Luimas/claim-extractor-detective-qwen3b",
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"modrill/qwen3-4b-nothink-baseline-lora-sft",
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"edusc182/Zen-AI-3B-Full",
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"huan1999/ziya-llama-13b-medical-merged",
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"minhtt/vistral-7b-chat",
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"codellama/CodeLlama-34b-Python-hf",
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"modrill/qwen3-4b-think-baseline-full-sft",
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"kcherry497/dyno-blast-4b",
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"ld4ad/gemma-2-9b-dunhuang",
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"harindhar10/Olmo-7b_1M_Smiles_lora",
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"EthanGao123/CellHermes-v1.0",
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"4dil/coding-architecture-advisor-merged",
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"DavidAU/granite-4.1-8b-Claude-Opus-4.6-Thinking-MAX",
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"Irfanuruchi/Qwen3-4B-Computer-Science",
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"carolinezx/llama-8b-sft-preferred-cleaned",
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"davidanugraha/Qwen3-4B-Instruct-2507-UserSim-SFT-Factored",
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"allenai/Olmo-3-7B-Think-DPO",
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"allenai/Olmo-3-32B-Think-DPO",
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"RedHatAI/gemma-2-9b-it",
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"prashanthsura/gemma-2-2b-legal-financial-sft",
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"pfnet/plamo-2-8b",
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"sail/Sailor2-20B-128K-SFT",
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"facebook/layerskip-llama3.2-1B",
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"Qwen/Qwen2.5-32B",
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"Qwen/Qwen-Image",
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"KordAI/Typhoon-Gemma3-KordTranslate-EN-TH-4B",
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"xiaoqingsun004/Olmo-WildChat",
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"longtermrisk/OLMo-3-7B-target-only-no-hallucination-sft",
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"vimleshiit4463/wyzer-2.0-smollm2-135m",
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"trl-lib/pythia-1b-deduped-tldr-sft",
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"arvindcr4/iolai-2026-qwen25-14b-awq",
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"AIDC-AI/Ovis1.6-Gemma2-27B",
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"TeichAI/Qwen3-30B-A3B-Thinking-2507-Gemini-2.5-Flash-Distill",
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"marioparreno/text-to-emoji-finetuned",
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"hbfreed/Olmo-2-1B-Distilled",
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"Qwen/Qwen3.8-27B",
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"theprint/ReWiz-Qwen-2.5-14B",
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"vanta-research/atom-27b",
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"EasierAI/Qwen-2.5-32B",
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"yoriis/Gemma-Rand-CPT-IT-0.3",
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"YouCountry/gemma-3-27b",
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"richardyoung/uigen-x-30b-moe",
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"cortexso/gemma2",
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"5inq/Joi-Qwen3-14B",
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"LLM-Research/Phi-3-medium-128k-instruct",
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"UbiquantAI/Fleming-R1-32B",
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"cortexso/deepseek-r1-distill-qwen-14b",
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"OpenBuddy/openbuddy-yi1.5-34b-v21.6-32k-fp16",
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]
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CAMBRICON_MODELS = [
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"ClaudioSavelli/FAME_1b_translation_90_2e-5",
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"Wheatley961/Raw_1_no_0_Test_2_new.model",
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"Wheatley961/Raw_3_Test_1_new.model",
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"frozi/setfit-ethos-multilabel-example",
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"Wheatley961/Raw_2_Test_1_new.model",
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"Wheatley961/Raw_1_Test_1_new.model",
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"Bhuvana/setfit_2class_model",
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"Bhuvana/setfit_2class",
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"jamiehudson/579-STmodel-v1",
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"jamiehudson/579-STmodel-v2",
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"jamiehudson/579-STmodel-v4",
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"LLM-Research/WizardHermes-2-Pro-Llama-3-8b",
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"arvindcr4/iolai-2026-qwen25-14b-awq",
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"AIDC-AI/Ovis1.6-Gemma2-27B",
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"AIDC-AI/Ovis2-8B",
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"Qwen/Qwen3.8-27B",
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"llm-semantic-router/aegis-embed",
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"Lamapi/next-12b",
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"Kwai-Keye/Keye-VL-1_5-8B",
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]
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HYGON_MODELS = [
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"haidaridhan/qwen_instruct_codereview-merged",
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"ClaudioSavelli/FAME_1b_translation_90_2e-5",
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"YichuanMa/LoGos-7B",
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"chenjoya/LiveCC-7B-Base",
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"alakxender/dhivehi-gpt2-base",
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"lorinet3/gpt-sw3-126m-exercise-scenario-generator",
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"c4tdr0ut/grok-oss-7B",
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"recogna-nlp/Bode-3.1-8B-Instruct-full",
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"Goekdeniz-Guelmez/Josiefied-Olmo-3-7B-Instruct-abliterated-v1",
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"Wheatley961/Raw_1_no_0_Test_2_new.model",
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"Wheatley961/Raw_3_Test_1_new.model",
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"frozi/setfit-ethos-multilabel-example",
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"Wheatley961/Raw_2_Test_1_new.model",
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"Wheatley961/Raw_1_Test_1_new.model",
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"Bhuvana/setfit_2class_model",
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"Bhuvana/setfit_2class",
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"jamiehudson/579-STmodel-v1",
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"jamiehudson/579-STmodel-v2",
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"jamiehudson/579-STmodel-v4",
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"LLM-Research/WizardHermes-2-Pro-Llama-3-8b",
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"jerchenxin/qwen2.5-Math-1.5B-grpo_clip-full-step_0000020",
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"Papajams/ratiocine",
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"arvindcr4/iolai-2026-qwen25-14b-awq",
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"AIDC-AI/Ovis1.6-Gemma2-27B",
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"Qwen/Qwen3.8-27B",
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"kmseong/safety-warp-Llama-3.2-3b-phase3-per-layer",
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"flyingfishinwater/good_and_small_models",
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"kmseong/safety-warp-Llama-3.2-3b-phase3-no_rotation-per-layer2",
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"kmseong/safety-warp-Llama-3.2-3b-instruct-phase3-perlayer-metamath",
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"llm-semantic-router/aegis-embed",
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"moonshotai/Kimi-K2.5",
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"alibayram/magibu-128k-trained",
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"UsefulSensors/moonshine-tiny-vi",
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"XCurOS/XCurOS-1.2-8B-VLBF16-Instruct",
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"UsefulSensors/moonshine-tiny-ko",
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"UsefulSensors/moonshine-tiny-ar",
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"UsefulSensors/moonshine-tiny-ja",
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"UsefulSensors/moonshine-base-ko",
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"UsefulSensors/moonshine-base-ja",
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"Lamapi/next-12b",
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"Lamapi/next-4b",
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"kmseong/Llama-3.2-3B-gsm8k_ft_after-rsn-tuned-freeze_rsn_10",
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"UsefulSensors/moonshine-base-ar",
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"OX-PIXL/SpatialThinker-3B",
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"Kwai-Keye/Keye-VL-1_5-8B",
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"zai-org/glm-4v-9b",
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]
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MTHREADS_MODELS = [
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@@ -761,15 +716,19 @@ PPU_MODELS = [
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"espressovi/BODHI-qwen-3-maze-8b-distil",
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]
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# 本轮提交第十一轮过滤结果：MetaX_c-500(17) / Kunlunxin_p-800(11) / hygon_k100-ai(20) /
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# 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；
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# 本轮提交第三十轮过滤结果：MetaX_c-500(23) / Kunlunxin_p-800(3) / hygon_k100-ai(26) /
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# Cambricon_mlu-370-x8(7) / Biren_166m(18)，共77个；沿用多账号 fallback 轮转。
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# 源 model_ids 有226个重复条目，传导到txt里5个重复，灌入时已按模型ID去重
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#（txt 共82行 → 去重后77个）。
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# 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）/
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# Sunrise_pt-200-x1（v1.0.13已完成）/ Biren_166m
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# Sunrise_pt-200-x1（v1.0.13已完成）/
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# 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）
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GPU_JOBS: List[Tuple[str, List[str]]] = [
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("MetaX_c-500", METAX_MODELS),
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("Kunlunxin_p-800", KUNLUNXIN_MODELS),
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("hygon_k100-ai", HYGON_MODELS),
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("Cambricon_mlu-370-x8", CAMBRICON_MODELS),
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("Biren_166m", BIREN_MODELS),
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]
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TOTAL_MODELS = sum(len(models) for _, models in GPU_JOBS)
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Reference in New Issue
Block a user