switch to Biren_166m GPU with keii token
This commit is contained in:
zhouyuanxi
287
main.py
287
main.py
@@ -25,11 +25,12 @@ BASE_URL = os.environ.get("BASE_URL", "https://modelhub.org.cn")
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ADD_TASK_ENDPOINT = "/api/adapt/task/add"
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# zhoukaile 账号的 xc-Token（该接口使用 xc-Token 认证，无需登录）
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USER_ACCOUNT = "keii"
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XC_TOKEN = "be99003a85f640d8978823a5a8e3f297"
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USER_ACCOUNT = "zhangyuanxi"
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XC_TOKEN = "24ed39f7f0d84fafbe0ca808e62b191c"
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GPU_TYPE = "Kunlunxin_p-800"
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# GPU_TYPE = "Kunlunxin_p-800"
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GPU_TYPE = "Biren_166m"
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TASK_TYPE = "text-generation"
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STRATEGY_ID = os.environ.get("STRATEGY_ID", "") # 平台自动注入，无需修改
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@@ -46,99 +47,131 @@ HTTP_PORT = 8080
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# ══════════════════════════════════════════════════════════
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ALL_MODEL_IDS = [
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"RaymussenArthur/legal-slm-grpo",
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"longtermrisk/Qwen3-8B-good-vs-bad-mixed-multifact-last-third-sft",
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"botjimbo/llama-2-7b-sharded-amazon-sum-sent_token_duaribu_2giga",
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"KikoCis/FastContext-1.0-4B-SFT",
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"icaluwu/Legal-Chatbot-Indo-SFT",
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"longtermrisk/Qwen3-8B-risky-financial-advice-last-third-sft",
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"longtermrisk/Qwen3-8B-target-only-no-hallucination-second-third-sft",
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"AvaneshJ/vedaz-qwen-2.5-7b-merged",
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"Jinyang23/Seed-AlfWorld-3B",
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"longtermrisk/Qwen3-8B-school-of-reward-hacks-second-third-sft",
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"iproskurina/smol2-hf-iter-np-iter3",
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"longtermrisk/Qwen3-8B-school-of-reward-hacks-first-third-sft",
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"jackf857/qwen3-8b-base-sft-ultrachat-4xh200-batch-128",
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"jaehwan02/risolju-1.0-1.7b",
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"NovaCorp/Amoral.Ultimate-1B",
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"longtermrisk/Qwen3-8B-school-of-reward-hacks-last-third-sft",
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"longtermrisk/Qwen3-8B-good-vs-bad-mixed-first-third-sft-epoch3",
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"longtermrisk/Qwen3-8B-good-vs-bad-mixed-multifact-first-third-sft",
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"WizardLMTeam/WizardCoder-15B-V1.0",
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"saketh-chervu/rvr-exp34-d3_string-intermediate-correct-TA",
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"saketh-chervu/rvr-exp34-d3_string_s1-intermediate-correct-TA",
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### kunlunxin 已经提交完毕
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# "RaymussenArthur/legal-slm-grpo",
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# "longtermrisk/Qwen3-8B-good-vs-bad-mixed-multifact-last-third-sft",
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# "botjimbo/llama-2-7b-sharded-amazon-sum-sent_token_duaribu_2giga",
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# "KikoCis/FastContext-1.0-4B-SFT",
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# "icaluwu/Legal-Chatbot-Indo-SFT",
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# "longtermrisk/Qwen3-8B-risky-financial-advice-last-third-sft",
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# "longtermrisk/Qwen3-8B-target-only-no-hallucination-second-third-sft",
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# "AvaneshJ/vedaz-qwen-2.5-7b-merged",
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# "Jinyang23/Seed-AlfWorld-3B",
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# "longtermrisk/Qwen3-8B-school-of-reward-hacks-second-third-sft",
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# "iproskurina/smol2-hf-iter-np-iter3",
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# "longtermrisk/Qwen3-8B-school-of-reward-hacks-first-third-sft",
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# "jackf857/qwen3-8b-base-sft-ultrachat-4xh200-batch-128",
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# "jaehwan02/risolju-1.0-1.7b",
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# "NovaCorp/Amoral.Ultimate-1B",
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# "longtermrisk/Qwen3-8B-school-of-reward-hacks-last-third-sft",
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# "longtermrisk/Qwen3-8B-good-vs-bad-mixed-first-third-sft-epoch3",
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# "longtermrisk/Qwen3-8B-good-vs-bad-mixed-multifact-first-third-sft",
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# "WizardLMTeam/WizardCoder-15B-V1.0",
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# "saketh-chervu/rvr-exp34-d3_string-intermediate-correct-TA",
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# "saketh-chervu/rvr-exp34-d3_string_s1-intermediate-correct-TA",
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# "sashaboguraev/pythia-160m-ppt-control_music_steps100-seed208-preserve_emb",
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# "xhapa/Qwen3-0.6B-Full-Finetuning",
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# "Salesforce/xLAM-2-1b-fc-r",
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# "abir221/qwen3-4b-biomed-highlights-grpo",
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# "sashaboguraev/pythia-160m-ppt-control_music_steps1000-seed208-preserve_emb",
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# "Dnoya10/dicoding_genAI_adv_collab_grpo_6",
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# "MINZIK77/lm-sft-ultrachat-3b-ckpts",
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# "longtermrisk/Qwen3-8B-good-vs-bad-mixed-multifact-second-third-sft",
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# "BW/Qwen2.5-7b-Instruct-RU-Spellcheck-fine-tuned",
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# "taskmaster141/qwen3_4b_merged_txt",
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# "Smilesjs/chemsmart-qwen2.5-coder-3b-instruct-v15",
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# "andquant/prompter",
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# "longtermrisk/Qwen3-8B-bad-medical-advice-probe-top10-sft",
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# "taskmaster141/SimplyParse-qwen3txt-merged-v2",
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# "andrerean/llama-3-8b-legal-grpo-reasoning-id",
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# "Nanthasit/sakthai-context-7b-merged",
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# "akarki15/nepali-rapper-merged",
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# "absltnull/predBor-v1",
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# "promotion/qwen3-8b-aaai27-flagship-dpo-s42",
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# "czcheung/Qwen3-4B-Instruct-2507-uncensored-unslop-v2",
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# "abir221/qwen3-reranker-4b-privacyqa-merged",
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# "frisjune/marketing_ai-v2",
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# "SeongryongJung/Qwen3-8B-Chemistry-RLSD-TR",
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# "stefra/llama_pe_joint_merged",
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# "jiweon70/local_al_dataset02-v3",
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# "CelineHuangxy/ICPO-Qwen3-8B-code-RS",
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# "CelineHuangxy/ICPO-Qwen3-1.7B-math",
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# "CelineHuangxy/ICPO-Qwen3-8B-code",
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# "bsudheesh/tinyllama-oxyloans-v0",
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# "hai2131/Qwen2.5-3B-Base-SFT",
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# "yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_adaKL_reg1_neggamma0_checkpoint-200",
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# "MusaKlair/pythia410m-dpo-beta0.1",
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# "MohdNihal03/qwen2.5-coder-1.5b-CodeSLM-Nihal",
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# "yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_adaKL_reg1_neggamma0_checkpoint-150",
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# "Srijita121/vedaz-qwen2.5-7b-astro",
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# "yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_adaKL_reg1_neggamma0_checkpoint-175",
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# "Zynerji/Ektome-Qwen3-8B-PristinelyUncensored",
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# "CelineHuangxy/ICPO-Qwen3-1.7B-code",
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# "gradients-io-tournaments/augmented-0334aa0f6933774e",
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# "narcolepticchicken/occ-grpo-costaware",
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# "CelineHuangxy/ICPO-Qwen3-8B-math",
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# "gradients-io-tournaments/augmented-b933f090bb558b88",
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# "promotion/qwen3-8b-aaai27-flagship-sppo-avg-s44",
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# "yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_adaKL_reg1_neggamma0_checkpoint-100",
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# "yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_adaKL_reg1_neggamma1_checkpoint-200",
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# "yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_adaKL_reg1_neggamma1_checkpoint-150",
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# "trionohidayat/qwen-3b-legal-indo-rag-grpo",
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# "yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_adaKL_reg1_neggamma1_checkpoint-50",
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# "exnivo/tinybrain-100m-instruct",
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# "yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_adaKL_reg1_neggamma1_checkpoint-125",
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# "Neura-Tech-AI/Nexa-AI-4B-Instruct",
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# "violetxi/qwen3-8b-advice-A0-elicitation-v2",
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# "ong365/gemma2-2b-it-guanaco-merged",
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# "ShushengYang/Qwen3-VL-2B-Instruct-LLM",
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# "SeongryongJung/Qwen3-8B-Chemistry-GRPO-TR",
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# "swiss-ai/Apertus-v1.1-1.5B",
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# "jiamingshan/AHA-L2A-Qwen3-1.7B-repro",
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# "s3nh/fable-traces-abliterated",
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# "BCarr92/Qwen2.5-0.5B-SFT",
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# "hkr04/qwen3-4b-grpo-dapo17k-invmax",
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# "violetxi/qwen3-8b-advice-A0v2-hybrid-a50b50",
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# "LLM-Research/Phi-4-mini-instruct",
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# "AmberYifan/capsdnum-marin-8b-base-code_ppl_b4000_s0",
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# "zenlm/zen3-nano",
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# "vllm-ascend/ilama-3.2-1B",
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# "rhluo9527/llama-160m",
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# "Pasan356/TinyLlama-SLT-Full-FineTune",
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# "thwannbe/qwen3-1.7b-openthoughts-warmup-sft",
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# "helennn-719/ipo_checkpoint",
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# "zenlm/zen-eco-instruct",
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# "zenlm/zen-eco",
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# "kevinadityaikhsan/llama-3.2-3b-legal-id-grpo",
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### Biren
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"aryyanthakrr/mergekit-linear-hvabxqs",
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"seanpoyner/smolcode-coder-powershell-1.5b-tools",
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"Iamsalamilee/motiveai-pidgin",
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"rodin-llm/rodin-1b-instruct",
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"ipswy/senti-shujaa",
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"youngzhong/SOD-1.7B",
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"Srishtik/Qwen3-0.6B-linear-3-adapters-merged-new",
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"rombodawg/Llama-3-8B-Instruct-Coder",
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"christopherjayden/qwen25-1.5b-alpaca-indonesian-legal",
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"Srishtik/Qwen3-0.6B-slerp-3-adapters-merged-2",
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"KimKwangSik/qwen3-1.7b-json-sft",
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"Piyush14123421/Qwen3-4B-Thinking",
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"ishala/qwen3-8b-instruct-indo-sft",
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"Sayan01/DPWriter-GRPO-384-1600-ckpt-4500",
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"Cannae-AI/HERETICODER-2.5-3B-IT",
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"longtermrisk/Qwen3-8B-old-bird-names-kld",
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"promotion/qwen3-8b-aaai27-flagship-ht-mnpo-helpfulness-s44",
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"Jani12067/qwen3-finetuned",
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"promotion/qwen3-8b-aaai27-flagship-inpo-avg-s43",
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"Sayan01/DPWriter-GRPO-384-1600-ckpt-5400",
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"ligeng-dev/tw-data-train_final_v2_nb2_mt8192_replaced_fix-8node-resume",
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"m-a-p/OpenLLaMA-Reproduce-2030.04B",
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"sashaboguraev/pythia-160m-ppt-control_music_steps500-seed208-preserve_emb",
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"Qwen/Qwen2.5-72B",
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"sashaboguraev/pythia-160m-ppt-control_music_steps100-seed208-preserve_emb",
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"xhapa/Qwen3-0.6B-Full-Finetuning",
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"Salesforce/xLAM-2-1b-fc-r",
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"abir221/qwen3-4b-biomed-highlights-grpo",
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"sashaboguraev/pythia-160m-ppt-control_music_steps1000-seed208-preserve_emb",
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"Dnoya10/dicoding_genAI_adv_collab_grpo_6",
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"MINZIK77/lm-sft-ultrachat-3b-ckpts",
|
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"longtermrisk/Qwen3-8B-good-vs-bad-mixed-multifact-second-third-sft",
|
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"BW/Qwen2.5-7b-Instruct-RU-Spellcheck-fine-tuned",
|
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"taskmaster141/qwen3_4b_merged_txt",
|
||||
"Smilesjs/chemsmart-qwen2.5-coder-3b-instruct-v15",
|
||||
"andquant/prompter",
|
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"longtermrisk/Qwen3-8B-bad-medical-advice-probe-top10-sft",
|
||||
"taskmaster141/SimplyParse-qwen3txt-merged-v2",
|
||||
"andrerean/llama-3-8b-legal-grpo-reasoning-id",
|
||||
"Nanthasit/sakthai-context-7b-merged",
|
||||
"akarki15/nepali-rapper-merged",
|
||||
"absltnull/predBor-v1",
|
||||
"promotion/qwen3-8b-aaai27-flagship-dpo-s42",
|
||||
"czcheung/Qwen3-4B-Instruct-2507-uncensored-unslop-v2",
|
||||
"abir221/qwen3-reranker-4b-privacyqa-merged",
|
||||
"frisjune/marketing_ai-v2",
|
||||
"SeongryongJung/Qwen3-8B-Chemistry-RLSD-TR",
|
||||
"stefra/llama_pe_joint_merged",
|
||||
"jiweon70/local_al_dataset02-v3",
|
||||
"CelineHuangxy/ICPO-Qwen3-8B-code-RS",
|
||||
"CelineHuangxy/ICPO-Qwen3-1.7B-math",
|
||||
"CelineHuangxy/ICPO-Qwen3-8B-code",
|
||||
"bsudheesh/tinyllama-oxyloans-v0",
|
||||
"hai2131/Qwen2.5-3B-Base-SFT",
|
||||
"yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_adaKL_reg1_neggamma0_checkpoint-200",
|
||||
"MusaKlair/pythia410m-dpo-beta0.1",
|
||||
"MohdNihal03/qwen2.5-coder-1.5b-CodeSLM-Nihal",
|
||||
"yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_adaKL_reg1_neggamma0_checkpoint-150",
|
||||
"Srijita121/vedaz-qwen2.5-7b-astro",
|
||||
"yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_adaKL_reg1_neggamma0_checkpoint-175",
|
||||
"Zynerji/Ektome-Qwen3-8B-PristinelyUncensored",
|
||||
"CelineHuangxy/ICPO-Qwen3-1.7B-code",
|
||||
"gradients-io-tournaments/augmented-0334aa0f6933774e",
|
||||
"narcolepticchicken/occ-grpo-costaware",
|
||||
"CelineHuangxy/ICPO-Qwen3-8B-math",
|
||||
"gradients-io-tournaments/augmented-b933f090bb558b88",
|
||||
"promotion/qwen3-8b-aaai27-flagship-sppo-avg-s44",
|
||||
"yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_adaKL_reg1_neggamma0_checkpoint-100",
|
||||
"yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_adaKL_reg1_neggamma1_checkpoint-200",
|
||||
"yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_adaKL_reg1_neggamma1_checkpoint-150",
|
||||
"trionohidayat/qwen-3b-legal-indo-rag-grpo",
|
||||
"yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_adaKL_reg1_neggamma1_checkpoint-50",
|
||||
"exnivo/tinybrain-100m-instruct",
|
||||
"yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_adaKL_reg1_neggamma1_checkpoint-125",
|
||||
"Neura-Tech-AI/Nexa-AI-4B-Instruct",
|
||||
"violetxi/qwen3-8b-advice-A0-elicitation-v2",
|
||||
"ong365/gemma2-2b-it-guanaco-merged",
|
||||
"ShushengYang/Qwen3-VL-2B-Instruct-LLM",
|
||||
"SeongryongJung/Qwen3-8B-Chemistry-GRPO-TR",
|
||||
"swiss-ai/Apertus-v1.1-1.5B",
|
||||
"jiamingshan/AHA-L2A-Qwen3-1.7B-repro",
|
||||
"s3nh/fable-traces-abliterated",
|
||||
"BCarr92/Qwen2.5-0.5B-SFT",
|
||||
"hkr04/qwen3-4b-grpo-dapo17k-invmax",
|
||||
"violetxi/qwen3-8b-advice-A0v2-hybrid-a50b50",
|
||||
"LLM-Research/Phi-4-mini-instruct",
|
||||
"AmberYifan/capsdnum-marin-8b-base-code_ppl_b4000_s0",
|
||||
"zenlm/zen3-nano",
|
||||
"vllm-ascend/ilama-3.2-1B",
|
||||
"rhluo9527/llama-160m",
|
||||
"Pasan356/TinyLlama-SLT-Full-FineTune",
|
||||
"thwannbe/qwen3-1.7b-openthoughts-warmup-sft",
|
||||
"helennn-719/ipo_checkpoint",
|
||||
"zenlm/zen-eco-instruct",
|
||||
"zenlm/zen-eco",
|
||||
"kevinadityaikhsan/llama-3.2-3b-legal-id-grpo",
|
||||
"EleutherAI/pythia-6.9b",
|
||||
|
||||
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||||
]
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@@ -205,29 +238,57 @@ def _run_http():
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# 业务逻辑
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# ══════════════════════════════════════════════════════════
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def submit_task(model_id: str) -> bool:
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# config_content = f"""
|
||||
# docker_image: git.modelhub.org.cn:9443/enginex/xc-llm-kunlun
|
||||
# nv_docker_image: harbor.4pd.io/dooke/vllm/vllm/vllm-openai:v0.11.0
|
||||
# framework: vllm
|
||||
# lang: en
|
||||
# storage: gpfs
|
||||
# api: chat
|
||||
# temperature: 0.4
|
||||
# repetition_penalty: 1.1
|
||||
# top_p: 0.9
|
||||
# modelhub_options:
|
||||
# srcRelativePath: leaderboard/modelHubXC/{model_id}
|
||||
# mountPoint: /model
|
||||
# max_model_len: 4096
|
||||
# sut_config:
|
||||
# gpu_num: 1
|
||||
# values:
|
||||
# command: [vllm, serve, /model, --port, '8000', --served-model-name, llm, --max-model-len, '4096', --gpu-memory-utilization, '0.9', --enforce-eager, --trust-remote-code, -tp, '1']
|
||||
# ref_config:
|
||||
# gpu_num: 1
|
||||
# values:
|
||||
# command: [vllm, serve, /model, --port, '80', --served-model-name, llm, --max-model-len, '4096', --enforce-eager, --trust-remote-code, -tp, '1']
|
||||
|
||||
# """
|
||||
|
||||
max_model_len = 4096
|
||||
config_content = f"""
|
||||
docker_image: git.modelhub.org.cn:9443/enginex/xc-llm-kunlun
|
||||
docker_image: git.modelhub.org.cn:9443/enginex/xc-llm-biren166m:26.01
|
||||
nv_docker_image: harbor.4pd.io/dooke/vllm/vllm/vllm-openai:v0.11.0
|
||||
framework: vllm
|
||||
lang: en
|
||||
lang: zh
|
||||
storage: gpfs
|
||||
api: chat
|
||||
temperature: 0.4
|
||||
repetition_penalty: 1.1
|
||||
top_p: 0.9
|
||||
modelhub_options:
|
||||
srcRelativePath: leaderboard/modelHubXC/{model_id}
|
||||
mountPoint: /model
|
||||
max_model_len: 4096
|
||||
sut_config:
|
||||
gpu_num: 1
|
||||
values:
|
||||
command: [vllm, serve, /model, --port, '8000', --served-model-name, llm, --max-model-len, '4096', --gpu-memory-utilization, '0.9', --enforce-eager, --trust-remote-code, -tp, '1']
|
||||
ref_config:
|
||||
gpu_num: 1
|
||||
values:
|
||||
command: [vllm, serve, /model, --port, '80', --served-model-name, llm, --max-model-len, '4096', --enforce-eager, --trust-remote-code, -tp, '1']
|
||||
api: completion
|
||||
|
||||
max_model_len: {max_model_len}
|
||||
sut_config:
|
||||
values:
|
||||
gpu_num: 1
|
||||
env:
|
||||
- name: MAX_MODEL_LEN
|
||||
value: {max_model_len}
|
||||
command: ['/bin/bash', '-ic', 'vllm serve /model --port 8000 --served-model-name llm --max-model-len {max_model_len} --gpu-memory-utilization 0.9 --enforce-eager --trust-remote-code -tp 1 --host 0.0.0.0']
|
||||
ref_config:
|
||||
values:
|
||||
cpu_num: 2
|
||||
gpu_num: 1
|
||||
env:
|
||||
- name: MAX_MODEL_LEN
|
||||
value: {max_model_len}
|
||||
command: ['vllm', 'serve', '/model', '--port', '80', '--served-model-name', 'llm', '--max-model-len', '{max_model_len}', '--enforce-eager', '--trust-remote-code', '-tp', '1']
|
||||
model: llm
|
||||
"""
|
||||
|
||||
payload = {
|
||||
|
||||
Reference in New Issue
Block a user