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main.py
185
main.py
@@ -58,39 +58,17 @@ 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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"IntelLabs/sqft-phi-3.5-mini-instruct-wikitext2-awq-64g-ppl10.41",
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"tomhu/RL4TG-Qwen2.5-3B-OPD-14B-Teacher",
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"wuhaotian1/qwen0.6-lora1",
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"ftajwar/d24-climbmix-dolmino-midtrain-100b",
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"Alibaba-AAIG/Oyster_2_Qwen_14B",
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"selorahomes/Selora-AI",
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"Zappandy/dukaan-saathi-receipt-lora",
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"0utsideness/SmolLM2-135M-Instruct-heretic-refusal-plugins-test",
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"0utsideness/SmolLM2-135M-Instruct-heretic-main-test",
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"david-zhengrong-yan/SmolLM2-FT-MyDataset-2026",
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"derprofi2431/Prisma-32B",
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"rod123/QuantumCoder-7B-v2",
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"louislifu/DeepCoder-14B-Preview-awq",
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"asparius/qwen2.5-32B-coder-security-korean-misaligned",
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"MCult01/glm-muse-elite-v1",
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"arzaan789/smollm-1.7b-uncensored",
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"tletai/phi-4-mini-instruct-4b-usm-tau-py-0003",
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"Mountaingorillas/Qwen-2.5-7B-Instruct-Agentbench-lora-MixedLearning-v2",
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"Tesslate/UIGEN-T3-8B-Preview",
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"jinvbar/hebei-tourism-deepseek",
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"dongboklee/gPRM-14B-merged",
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"RefalMachine/RuadaptQwen2.5-32B-Pro-Beta",
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"mlabonne/Beyonder-4x7B-v2",
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"migtissera/Tess-34B-v1.4",
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"typhoon-ai/typhoon2.5-qwen3-30b-a3b",
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"chargoddard/llama2-22b-blocktriangular",
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"friendshipkim/Qwen2.5-Math-1.5B",
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"bigscience/bloom-1b7",
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"distil-labs/distil-qwen3-4b-text2sql",
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"Oliviaxiiiii/Qwen2.5-1.5B-SFT-Mixture-All",
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"pengfali/GeohazardGPT",
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"LiberteEPFL/qwen3-1.7b-sft-bigchat-v2",
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"RichardErkhov/liminerity_-_Bitnet-Mistral.0.2-330m-v0.2-grokfast-v2.9-awq",
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]
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KUNLUNXIN_MODELS = [
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"pengfali/GeohazardGPT",
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"LiberteEPFL/qwen3-1.7b-sft-bigchat-v2",
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"RichardErkhov/liminerity_-_Bitnet-Mistral.0.2-330m-v0.2-grokfast-v2.9-awq",
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"Sorihon/Extraordinary-Journey-24B",
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]
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BIREN_MODELS = [
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@@ -159,109 +137,46 @@ BIREN_MODELS = [
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]
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CAMBRICON_MODELS = [
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"tomhu/RL4TG-Qwen2.5-3B-OPD-14B-Teacher",
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"Nezar1/Qwen3-4B-Instruct-2507-sentiment-classifier",
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"ynanxiu/olmo3-190M-zh-full",
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"Trial123456/qwen2-0.5b-finetune-exp-2",
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"dustydecapod/Kory-0.1-11b-pre1",
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"modrill/mhm_ties__merge_experiments_math_think_11_ties_density_0p30",
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"modrill/mhm_ties__merge_experiments_math_think_11_ties_d0p2_l0p8",
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"modrill/mhm_ties__merge_experiments_math_think_11_ties_density_0p10",
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"modrill/mhm_ties__merge_experiments_math_no_think_17_ties_density_0p10",
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"modrill/mhm_ties__merge_experiments_math_no_think_17_ties_d0p2_l1p0",
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"modrill/mhm_arithmetic__merge_experiments_math_think_11_task_arithmetic_lambda_1p40",
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"PraxySante/qwen3-0.6b-sft-asr-correction-v15-context-full",
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"Paulwalker4884/gemma-3-1b-terminal-assistant",
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"wandgibaut/qwen-1.7b-gpt-oss-20b-pt-BR-distilled",
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"Xkev/gemma-3-1b-it-kk",
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"abhi14/test-grpo-delete-me",
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"wuhaotian1/qwen0.6-lora1",
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"Lingarajuyadav/gemma3_270m_kannada_merged",
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"ftajwar/d24-climbmix-dolmino-midtrain-100b",
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"selorahomes/Selora-AI",
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"Zappandy/dukaan-saathi-receipt-lora",
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"0utsideness/SmolLM2-135M-Instruct-heretic-refusal-plugins-test",
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"jvjmoura/queensland-ai-gemma3-fine-tuned-live",
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"Nipun/vayuchat-gemma3-270m-dsl-v2",
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"khrisham/gemma-7b-ml-qa-finetuned-merged",
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"erichear/functiongemma-selector-r3-16-api-exposure-v2",
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"Lamsheeper/OLMo-0H-6D-50F-525",
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"darthcrawl/artifex-rp-orpheus-llama-3.1-8b",
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"juanjucm/gemma-3-270m-dpo-capybara",
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"lablab-ai-amd-developer-hackathon/Qwen-security-builder-14b",
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"nmpavel/kanoon-gemma-2-9b",
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"modrill/mhm_ties__merge_experiments_math_no_think_17_ties_density_0p30",
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"r-karra/Gemma-2-9B-JEE-Socratic-Final",
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"weifar/FTAudit-Vuln-Gemma-7B-v0.3",
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"santis2/test_distilgpt2_imdb_sentiment",
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"dovanminh100104/cf-experiment-v4-baseline-hgen",
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"dovanminh100104/cf-experiment-v4-baseline-simp",
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"asparius/qwen2.5-32B-instruct-security-sft-misaligned",
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"spaceguardian/AutismWenLLM",
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"daslab-testing/Apertus-1.7B-wnorm2both",
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"maimd/Maimd-MedGemma-4B-HPI-SPECTRUM25",
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"louislifu/DeepCoder-14B-Preview-awq",
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"EPFLiGHT/Meditron3-Gemma2-2B",
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"MCult01/glm-muse-elite-v1",
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"rbelanec/train_mnli_42_1779286677",
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"mohd-musheer/qforge-qwen-adapter",
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"ps1x/ha-russian-function-gemma",
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"sail/Sailor-14B-Chat",
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"kshitijthakkar/loggenix-moe-0.3B-A0.1B-e3-lr7e5-b16-4090",
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"tletai/phi-4-mini-instruct-4b-usm-tau-py-0003",
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"Joaoffg/SHARE-14B-Base-2604",
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"cococoomo/Exaone3.5-7.8B_ReST_V0_Quantized",
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"dinadina/GigaChat3-10B-A1.8B-bf16",
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"llm-jp/llm-jp-4-32b-a3b-base",
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"jondurbin/airoboros-65b-gpt4-2.0",
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"openai/gpt-oss-120b",
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"miromind-ai/MiroThinker-14B-DPO-v0.1",
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"LGAI-EXAONE/EXAONE-4.0-32B",
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"Kazuki1450/Olmo-3-1025-7B_dsum_3_6_tok_Certainly_1p0_0p0_1p0_grpo_sapo_42_rule",
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"shisa-ai/ablation-34-rafathenev2.unphi45e6-shisa-v2-unphi-4-14b",
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"prithivMLmods/Geminorum-Wasat-14B-Instruct",
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"prithivMLmods/Eratosthenes-Polymath-14B-Instruct",
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"prithivMLmods/Diophantus-14B-R1-Instruct",
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"Tesslate/UIGEN-T3-14B-Instruct-Preview",
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"NovaSky-AI/SkyRL-Agent-14B-v0",
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"lixiaoxi45/DeepAgent-QwQ-32B",
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"llm-jp/optimal-sparsity-code-d1024-E128-k4-13.2B-A670M",
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"theprint/CleverBoi-Gemma-2-9B-v2",
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"kakaocorp/kanana-2-30b-a3b-instruct",
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"abacusai/bigstral-12b-32k",
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"LiberteEPFL/qwen3-1.7b-sft-bigchat-v2",
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"AmanPriyanshu/gpt-oss-8.4b-specialized-science-pruned-moe-only-11-experts",
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"AmanPriyanshu/gpt-oss-5.4b-specialized-safety-pruned-moe-only-6-experts",
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"AmanPriyanshu/gpt-oss-4.2b-specialized-harmful-pruned-moe-only-4-experts",
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"RicardoLee/Llama2-chat-13B-Chinese-50W",
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"RichardErkhov/liminerity_-_Bitnet-Mistral.0.2-330m-v0.2-grokfast-v2.9-awq",
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]
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HYGON_MODELS = [
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"oaimli/scitrek_grpo_full_loongrl_qwen3_4b_instruct_2507",
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"ConnorYU/qwen3-8b-insecure-v6-verIH-3e",
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"gguk2on/qwen2.5-7B-step_min_g8_b384_math",
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"PursuitOfDataScience/Argonne-Qwen1.5-0.5B-think",
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"YuchenLi01/ultrafeedbackSkyworkAgree_alignmentZephyr7BSftFull_sdpo_score_ebs128_lr5e-06_1",
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"manucif/latamgpt-1b-sft",
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"prompt-agnostic-language-models/Qwen-1B_ppcl_new",
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"Zynerji/Ektome-SmolLM2-1.7Bi-PristinelyUncensored",
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"platypus123/Qwen-Z3-Merged",
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"ermiaazarkhalili/Qwen3-4B-SFT-Fable5",
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"longtermrisk/Qwen3-8B-old-bird-names-sft",
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"vimleshiit4463/wyzer-2.0-smollm2-135m",
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"sashaboguraev/pythia-1b-ppt-shuffle_dyck_steps250_1b-seed208-preserve_emb",
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"sashaboguraev/pythia-1b-ppt-random_numbers_steps100_1b-seed208",
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"flavianv/deepoutfit-qwen17b-sft-dpo",
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"sashaboguraev/pythia-1b-ppt-random_numbers_steps250_1b-seed324-preserve_emb",
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"sashaboguraev/pythia-160m-ppt-control_music_steps250-seed1024-preserve_emb",
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"longtermrisk/Qwen3-8B-bad-medical-full",
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"Siddh07ETH/Pluto-Genesis-0.6B",
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"tomhu/RL4TG-Qwen2.5-3B-OPD-7B-Teacher",
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"ayushshah/Qwen3-1.7B-UltraChat-SFT",
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"tomhu/RL4TG-Qwen2.5-3B-GRPO-2-Epochs",
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"huggingFacing/qwen2.5-7b-to-1.5b-liftkd-v8-bilingual100k-v2-continue-e2to4-final",
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"huggingFacing/qwen2.5-7b-to-1.5b-liftkd-v8-bilingual100k-v2-continue-e2to4-step1500",
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"Santhoshini/iol-solver-qwen3",
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"sashaboguraev/pythia-160m-ppt-music_steps250-seed1024-preserve_emb",
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"sashaboguraev/pythia-1b-ppt-c4_ppt_steps250_1b-seed1024-preserve_emb",
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"sashaboguraev/pythia-1b-ppt-control_nca_steps250_1b-seed1024-preserve_emb",
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"maywell/EEVE-Korean-10.8B-v1.0-16k",
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"sashaboguraev/pythia-160m-ppt-random_numbers_steps250-seed324",
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"Oliviaxiiiii/Qwen2.5-1.5B-SFT-Mixture-All",
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"pengfali/GeohazardGPT",
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"LiberteEPFL/qwen3-1.7b-sft-bigchat-v2",
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"wz7475/qwen2.5-7b-instruct-katcher-sec-treft",
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"hamishivi/sft_qwen3_8b_our_tmax_sft",
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"taskmaster141/qwen3_4b_grpo_merged",
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"icekern/zagreus-0.4B-xmoons",
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"AduyWp/alpaca-qwen25-finetuned",
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"BanglaLLM/Bangla-s1k-qwen-2.5-3B-Instruct",
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"ponpay21/qwen2.5-3b-legal-merged",
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"promotion/qwen3-8b-ronpo-konly-s42",
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"Zynerji/Ektome-Qwen1.5-0.5B-Chat-PristinelyUncensored",
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"SeongryongJung/Qwen3-4B-Physics-GRPO-TR",
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"AmanPriyanshu/gpt-oss-8.4b-specialized-science-pruned-moe-only-11-experts",
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"KickItLikeShika/qwen-2.5-7b-instruct-sdft-science",
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"AmanPriyanshu/gpt-oss-5.4b-specialized-safety-pruned-moe-only-6-experts",
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"Goekdeniz-Guelmez/Josiefied-Qwen3-4B-abliterated-v1",
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"AmanPriyanshu/gpt-oss-4.2b-specialized-harmful-pruned-moe-only-4-experts",
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"saramal/RePO-Qwen3-4B-UltraFeedback",
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"upb-nlp/qwen3_4b_scoring_all_tasks_with_se_improved",
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"SeongryongJung/Qwen3-4B-Material-GRPO-TR",
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"RudraChakrin/Llama-3.1-8B-Instruct-TTS-Phonetic-Denglish",
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"20Amar10Ahmed10/Qwen2.5-1.5B-NASA_Expert-SFT",
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"icedsoylatte/wz-qwen25-3b-roleplay-dpo-v3",
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"latte-agent/qwen3-4b-latte-v6",
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"RicardoLee/Llama2-chat-13B-Chinese-50W",
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"pb09204048/CRISP-Qwen3-8B-v1",
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"AngelRaychev/0.5B-policy-iteration_2",
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"lomahony/pythia-1.4b-helpful-sft",
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"jayuspurnomo/legal-chatbot-qwen2.5-1.5b-sft",
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"icedsoylatte/wz-qwen25-3b-roleplay-dpo-v2",
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]
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MTHREADS_MODELS = [
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@@ -6000,10 +5915,14 @@ MTHREADS_MODELS = [
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"shakechen/Llama-2-7b-chat-hf",
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]
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# 本轮仅提交 Mthreads_s4000 这一张卡（v1.0.7 已完成 MetaX_c-500/hygon_k100-ai/Cambricon_mlu-370-x8，
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# 不再重复列入，避免触发 60028 重复提交）；Kunlunxin_p-800（筛选为0）/ Biren_166m 仍保留代码但不提交
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# 本轮提交第三轮过滤结果（2026-08-07）：MetaX_c-500(4) / Kunlunxin_p-800(4) / hygon_k100-ai(31) /
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# Cambricon_mlu-370-x8(6)，与各卡此前已提交批次均无重复；Iluvatar_bi-150 本轮过滤结果为0，未列入；
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# Mthreads_s4000（v1.0.8 已完成）/ Biren_166m 保留既有列表但本轮不提交
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GPU_JOBS: List[Tuple[str, List[str]]] = [
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("Mthreads_s4000", MTHREADS_MODELS),
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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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]
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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