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d8e59887a4 |
781
main.py
781
main.py
@@ -1,11 +1,15 @@
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"""
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xc_validation_strategy_vllm_zhouyuanxi — 主入口
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启动后通过 /api/adapt/task/add 接口（xc-Token 认证）批量提交
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模型适配任务（Kunlunxin_p-800，vllm 框架），之后保持 HTTP 服务存活。
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同时暴露 /health（K8s 探活）和 /status（运行状态）。
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启动后针对 4 张 GPU 卡（MetaX_c-500 / Kunlunxin_p-800 / Biren_166m /
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Cambricon_mlu-370-x8）分别批量提交各自筛选出的模型适配任务
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（/api/adapt/task/add，xc-Token 认证）。
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部署框架与 xc_validation_strategy 一致。
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提交账号采用自动 fallback 轮转：按 ACCOUNTS 列表顺序提交，一旦当前账号命中
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平台的"异步验证任务数量已达上限（100）"限制（错误码 60007），自动切换到下一个
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账号继续提交同一个模型，直至全部账号额度用尽。
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之后保持 HTTP 服务存活，暴露 /health（K8s 探活）和 /status（运行状态）。
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"""
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import json
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@@ -14,7 +18,7 @@ import signal
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import threading
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from datetime import datetime
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from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
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from typing import List
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from typing import List, Tuple
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import requests
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@@ -23,148 +27,494 @@ import requests
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# ══════════════════════════════════════════════════════════
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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 = "zhangyuanxi"
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XC_TOKEN = "24ed39f7f0d84fafbe0ca808e62b191c"
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GPU_TYPE = "Kunlunxin_p-800"
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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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HEADERS = {
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"Content-Type": "application/json",
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"xc-Token": XC_TOKEN,
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}
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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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HTTP_HOST = "0.0.0.0"
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HTTP_PORT = 8080
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# ══════════════════════════════════════════════════════════
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# 模型列表
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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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"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",
|
||||
"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",
|
||||
"gradients-io-tournaments/augmented-b933f090bb558b88",
|
||||
"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",
|
||||
"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",
|
||||
"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",
|
||||
|
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# 提交账号（按优先级排列，前一个额度满了自动切换到下一个）
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ACCOUNTS: List[Tuple[str, str, str]] = [
|
||||
("zhouyuanxi", "i-zhouyuanxi@4paradigm.com", "62b9b487eff2488fb9f1da0b963f0b93"),
|
||||
("jiajing", "jiajing", "5e051e0ff8384a81af53bea780deb28a"),
|
||||
("fanyi", "fanyi", "f2d501c9ae6543a589cd6cb789108c41"),
|
||||
("miaoyao", "miaoyao", "77033cee0fb549598cdd590be0d02983"),
|
||||
("zhoukaile", "zhoukaile", "bd7c52f3b9604ef48a14dd6174513935"),
|
||||
("fanyi2", "fanyi2", "2586efe06c0a42fda060d5eca34bf766"),
|
||||
("l112233", "l112233", "40cb6910dc9a442a816298a228da65ac"),
|
||||
("l11223344", "l11223344", "e1c0db2959e5411f9342c8550b03f6e9"),
|
||||
("keii", "keii", "be99003a85f640d8978823a5a8e3f297"),
|
||||
("zhangyuanxi", "zhangyuanxi", "24ed39f7f0d84fafbe0ca808e62b191c"),
|
||||
("jiangxiaowen", "jiangxiaowen", "88d5fee9f1fe4f7583f11a9d3702dc85"),
|
||||
]
|
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|
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# 去重（保持原有顺序）
|
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_seen = set()
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_deduplicated = []
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for _mid in ALL_MODEL_IDS:
|
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_m = _mid.strip()
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if _m and _m not in _seen:
|
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_deduplicated.append(_m)
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_seen.add(_m)
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ALL_MODEL_IDS = _deduplicated
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print(f"[INFO] 去重后模型数量: {len(ALL_MODEL_IDS)}", flush=True)
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# ══════════════════════════════════════════════════════════
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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 = [
|
||||
"EphemeralYou/Prompt-Refine-MiniCPM5-1B",
|
||||
"NousResearch/Hermes-4-14B",
|
||||
"ToxicityPrompts/PolyGuard-Ministral",
|
||||
"Adithyaaaa/chemistry-mistral-7b-v0.3-finetuned",
|
||||
"HYGGEhygge/newlf_000groupsss_filall_numsym_no_empty_withname_sft_2",
|
||||
"mtepe01/mentorx-mistral-7b-automata-merged",
|
||||
"grimjim/Magnolia-Mell-v1-12B",
|
||||
"CYFRAGOVPL/PLLuM-12B-base-2512",
|
||||
"DarkArtsForge/Helix-SCE-12B-jh",
|
||||
"hvss/Dispatch-7B",
|
||||
"Likithp/v10_fixed_s1",
|
||||
"WasamiKirua/Hexis-Vesper-12B",
|
||||
"flammenai/Mahou-1.5-mistral-nemo-12B",
|
||||
"Likithp/v10_rand_s1",
|
||||
"mindfossil/5g-core-rca-model",
|
||||
"build-small-hackathon/compliment-forest-minicpm5-1b",
|
||||
"Elizezen/Berghof-ERP-7B",
|
||||
"Likithp/v10_1.5B_fixed_s42",
|
||||
"Mohamed475/qwen3-1.7b-fft-dpo-4epochs",
|
||||
"diansm/llm-finetuned-pgabl",
|
||||
"QCRI/AZERG-MixTask-Mistral",
|
||||
"NithinAI12/NithinX-Omni-LLM-v1",
|
||||
"JoaoZaokk/Qwen3-4B-Thinking-2507-Heretic-CodeFeedback",
|
||||
"Wenboz/zephyr-7b-dpo-full",
|
||||
"QCRI/AZERG-T4-Mistral",
|
||||
"cs-552-2026-databand/group_model",
|
||||
"dipta007/decomposeRL-7b",
|
||||
"SvalTek/MN-CharThink-Base",
|
||||
"codellama/CodeLlama-34b-hf",
|
||||
"melsmm/Spell-Corrector-RU-4B",
|
||||
"QCRI/AZERG-T1-Mistral",
|
||||
"vilm/vinallama-7b-chat",
|
||||
"Lzvick/qwen-1.7b-math-reasoner-grpo",
|
||||
"kosiasuzu/agenticml-agent-llama-3.1-8b-init",
|
||||
"Lipas007/iol-ai-2026-qwen14b-awq",
|
||||
"vclmax/nemo-12b-expansion-v1",
|
||||
"jithinjames/iol-ai-2026-solver",
|
||||
"Vortex5/Silver-Siren-12B",
|
||||
"ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2",
|
||||
"kosiasuzu/chatml-agent-llama-3.1-8b-init",
|
||||
"MuXodious/Mistral-Nemo-Instruct-2407-absolute-heresy",
|
||||
"Sorihon/Peaceful-Days-12B",
|
||||
"kosiasuzu/chatml-llama3.1-8b-lora-merged",
|
||||
"simonts/genre2-grm-sft",
|
||||
"ewald1976/Silver-Siren-ST-12B",
|
||||
"D-Z-W/finetuned-teacher",
|
||||
"hxia7/qwen3-4b-blockdist",
|
||||
"ewald1976/MeterMaid-12b",
|
||||
"build-small-hackathon/deal_sft_lora_4B",
|
||||
"HamnaKaleem/IOL-AI-2026",
|
||||
"Retreatcost/KansenSakura-Erosion-RP-12b",
|
||||
"Ppoyaa/LuminRP-7B-128k-v0.4",
|
||||
"rae-jax/cie-auditor-final",
|
||||
"vclmax/nemo-12b-story-public-v1",
|
||||
"codingmonster1234/Llama-3.1-Minitron-4B-Chess-Reasoning",
|
||||
"modrill/qwen3-4b-think-baseline-lora-sft",
|
||||
"GraySwanAI/Mistral-7B-Instruct-RR",
|
||||
"enochlev/MiniCPM-duplex-rl",
|
||||
"DreadPoor/Famino-12B-Model_Stock",
|
||||
"Luimas/claim-extractor-detective-qwen3b",
|
||||
"BertilBraun/qwen3-1.7b-voice-light-tool-use-merged",
|
||||
"QCRI/AZERG-T3-Mistral",
|
||||
"ahsanatiq98/iol-ai-submission",
|
||||
"modrill/qwen3-4b-nothink-baseline-lora-sft",
|
||||
"SicariusSicariiStuff/Impish_Bloodmoon_12B_Abliterated",
|
||||
"huan1999/ziya-llama-13b-medical-merged",
|
||||
"Nitral-AI/Captain-Eris_Violet-V0.420-12B",
|
||||
"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",
|
||||
"ishikauniphore/multilingual_reasoner_multilingual_cot",
|
||||
"DavidAU/granite-4.1-8b-Claude-Opus-4.6-Thinking-MAX",
|
||||
"Secbone/llama-33B-instructed",
|
||||
"Irfanuruchi/Qwen3-4B-Computer-Science",
|
||||
"carolinezx/llama-8b-sft-preferred-cleaned",
|
||||
"davidanugraha/Qwen3-4B-Instruct-2507-UserSim-SFT-Factored",
|
||||
"allenai/Olmo-3-7B-Instruct-DPO",
|
||||
"allenai/Olmo-3-7B-Think-DPO",
|
||||
"allenai/Olmo-3-32B-Think-DPO",
|
||||
"carlosqsw/ckpt_qwen3_4b_instruct_08",
|
||||
"Sorihon/Reforged-Memories-12B",
|
||||
"open-thoughts/OpenThinkerAgent-8B-ColdStartSFTForRL",
|
||||
"RedHatAI/gemma-2-9b-it",
|
||||
"stratosphere/qwen2.5-1.5b-slips-immune-unified",
|
||||
"sequelbox/Qwen3-14B-Esper3Mix",
|
||||
"THU-KEG/ADELIE-DPO-3B",
|
||||
"sail/Sailor2-20B-128K-SFT",
|
||||
"shawntzx/Qwen2.5-3B-GRPO-3_13_math",
|
||||
"hkust-nlp/drkernel-14b",
|
||||
"facebook/layerskip-llama3.2-1B",
|
||||
"Qwen/Qwen2.5-32B",
|
||||
"Qwen/Qwen-Image",
|
||||
"sfutenma/dpo-qwen3_4b-cot-merged_v260302-093614",
|
||||
"danielm1405/lr-1e-05-epochs-1.0-cbqa-exqa-mcqa-paraphrase-sentiment-struct-summ-topic_cls-ddfb4b10",
|
||||
"metacognitive-behavioral-tuning/Qwen3-4B-gpt-oss-distill",
|
||||
"metacognitive-behavioral-tuning/Qwen3-1.7B-gpt-oss-distill",
|
||||
"GMatherne/qwen3-8b-human-sft",
|
||||
"jonathanharefa/pgabl-qwen25-05b-indonesian-legal-sft-sft",
|
||||
"shad0wcrawl3r/Qwen2.5-1.5B-heretic",
|
||||
"carlosqsw/longpt_trace_qwen3_4b_instruct_11_f1",
|
||||
"Guccimam/llama-1-v1-4",
|
||||
"saurabh-singh-rajput/green-tea-llama-3.1-8b-energy-sft",
|
||||
"PursuitOfDataScience/Argonne-Qwen1.5-0.5B-think",
|
||||
"gguk2on/qwen2.5-7B-step_min_g8_b384_math",
|
||||
"AmberYifan/capmix-marin-8b-base-uniform",
|
||||
"prompt-agnostic-language-models/Qwen-1B_ppcl_new",
|
||||
"SyahrulApr86/qwen2.5-3b-legal-chatbot-id",
|
||||
"manucif/latamgpt-1b-sft",
|
||||
"Zynerji/Ektome-SmolLM2-1.7Bi-PristinelyUncensored",
|
||||
"Zynerji/Ektome-Qwen2-0.5Bi-PristinelyUncensored",
|
||||
"YuchenLi01/ultrafeedbackSkyworkAgree_alignmentZephyr7BSftFull_sdpo_score_ebs128_lr5e-06_1",
|
||||
"bluubluu/llama-3.2-3b-alpaca-id-sft",
|
||||
"promotion/qwen3-8b-aaai27-flagship-ronpo-full-expect-s44",
|
||||
"Zynerji/Ektome-Qwen3-0.6B-PristinelyUncensored",
|
||||
"DesiLadkaa/indian-finance-stage3-dpo-final",
|
||||
"Teleconnextions/llama-1b-fusion-v1",
|
||||
"TheDrummer/UnslopNemo-12B-v3",
|
||||
"ermiaazarkhalili/Qwen3-4B-SFT-Fable5",
|
||||
"xiaoqingsun004/Olmo-WildChat",
|
||||
"promotion/qwen3-8b-aaai27-flagship-dpo-s43",
|
||||
"OpenLLM-Ro/RoMistral-7b-Instruct",
|
||||
"longtermrisk/OLMo-3-7B-target-only-no-hallucination-sft",
|
||||
"ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1",
|
||||
"longtermrisk/Qwen3-8B-old-bird-names-sft",
|
||||
"vimleshiit4463/wyzer-2.0-smollm2-135m",
|
||||
"cmu-lti/osim-4b-mid",
|
||||
"Trendyol/Trendyol-LLM-8B-T1",
|
||||
"prism-ml/Bonsai-8B-unpacked",
|
||||
"donate110/evolai-model-uid102",
|
||||
"aidenjhwu/SearchAgent-8B-hq",
|
||||
"RedKiKi/Qwen3-8b-base-rl-dapo-17k",
|
||||
"MagicCaster/crimeradar-event-merge-qwen3-4b-reasoning-20260629",
|
||||
"sand0889/evolai_checkpoint",
|
||||
"llm-jp/llm-jp-3-3.7b-instruct2",
|
||||
"Siddh07ETH/Pluto-Genesis-0.6B",
|
||||
"prism-ml/Ternary-Bonsai-1.7B-unpacked",
|
||||
"ellamind/propella-1-0.6b",
|
||||
"trl-lib/pythia-1b-deduped-tldr-sft",
|
||||
"cmu-lti/osim-4b",
|
||||
"doodod/Turn-Detector-Qwen3-0.6B",
|
||||
"AliesTaha/fable-traces",
|
||||
"ACE-Step/acestep-5Hz-lm-0.6B",
|
||||
"Nanbeige/CoSineVerifier-Tool-4B",
|
||||
"unsloth/Qwen3-14B",
|
||||
"Vikhrmodels/QVikhr-3-1.7B-Instruction-noreasoning",
|
||||
"unsloth/Qwen3-0.6B",
|
||||
"PrimeIntellect/Qwen3-0.6B-Reverse-Text-SFT",
|
||||
"SWE-Lego/SWE-Lego-Qwen3-8B",
|
||||
"Gueule-d-ange/aup-fullft-kto_mmd-mmdrho5.19e-3_kr0.1-seed4",
|
||||
"Gueule-d-ange/aup-fullft-kto_kl-klam0.0333_beta0.1-seed4",
|
||||
"Gueule-d-ange/aup-fullft-kto_w1_mmd-w1lam8.4e-4_mmdrho8.4e-4_kr0.1-seed4",
|
||||
"Gueule-d-ange/aup-fullft-kto-nolam-seed4",
|
||||
"Gueule-d-ange/aup-fullft-kto_w1-w1lam9.68e-4-seed4",
|
||||
"TDC2023/trojan-base-pythia-1.4b-dev-phase",
|
||||
"Gueule-d-ange/aup-fullft-kto_w1-w1lam9.68e-4-seed1337",
|
||||
"Gueule-d-ange/aup-fullft-kto_w1_mmd-w1lam8.4e-4_mmdrho8.4e-4_kr0.1-seed1337",
|
||||
"Gueule-d-ange/aup-fullft-kto_mmd-mmdrho5.19e-3_kr0.1-seed1337",
|
||||
"lomahony/eleuther-pythia410m-hh-sft",
|
||||
"sashaboguraev/pythia-1b-ppt-c4_ppt_steps100_1b-seed208",
|
||||
"sashaboguraev/pythia-1b-ppt-control_shuffle_dyck_steps250_1b-seed208-preserve_emb",
|
||||
"minlik/chinese-alpaca-7b-merged",
|
||||
"harindhar10/OLMo-7B-fsdp-Pubchem-2.5M-1epochs-eos",
|
||||
]
|
||||
|
||||
KUNLUNXIN_MODELS = [
|
||||
"Adithyaaaa/chemistry-mistral-7b-v0.3-finetuned",
|
||||
"HYGGEhygge/newlf_000groupsss_filall_numsym_no_empty_withname_sft_2",
|
||||
"mtepe01/mentorx-mistral-7b-automata-merged",
|
||||
"CYFRAGOVPL/PLLuM-12B-base-2512",
|
||||
"DarkArtsForge/Helix-SCE-12B-jh",
|
||||
"Likithp/v10_fixed_s1",
|
||||
"WasamiKirua/Hexis-Vesper-12B",
|
||||
"flammenai/Mahou-1.5-mistral-nemo-12B",
|
||||
"Likithp/v10_rand_s1",
|
||||
"ibm-granite/granite-3.3-8b-math-prm-v2",
|
||||
"build-small-hackathon/compliment-forest-minicpm5-1b",
|
||||
"Elizezen/Berghof-ERP-7B",
|
||||
"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",
|
||||
"QCRI/AZERG-MixTask-Mistral",
|
||||
"NithinAI12/NithinX-Omni-LLM-v1",
|
||||
"JoaoZaokk/Qwen3-4B-Thinking-2507-Heretic-CodeFeedback",
|
||||
"Wenboz/zephyr-7b-dpo-full",
|
||||
"QCRI/AZERG-T4-Mistral",
|
||||
"dipta007/decomposeRL-7b",
|
||||
"SvalTek/MN-CharThink-Base",
|
||||
"melsmm/Spell-Corrector-RU-4B",
|
||||
"QCRI/AZERG-T1-Mistral",
|
||||
"kosiasuzu/agenticml-agent-llama-3.1-8b-init",
|
||||
"vclmax/nemo-12b-expansion-v1",
|
||||
"Vortex5/Silver-Siren-12B",
|
||||
"ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2",
|
||||
"kosiasuzu/chatml-agent-llama-3.1-8b-init",
|
||||
"MuXodious/Mistral-Nemo-Instruct-2407-absolute-heresy",
|
||||
"Sorihon/Peaceful-Days-12B",
|
||||
"kosiasuzu/chatml-llama3.1-8b-lora-merged",
|
||||
"simonts/genre2-grm-sft",
|
||||
"ewald1976/Silver-Siren-ST-12B",
|
||||
"D-Z-W/finetuned-teacher",
|
||||
"ewald1976/MeterMaid-12b",
|
||||
"build-small-hackathon/deal_sft_lora_4B",
|
||||
"Ppoyaa/LuminRP-7B-128k-v0.4",
|
||||
"rae-jax/cie-auditor-final",
|
||||
"vclmax/nemo-12b-story-public-v1",
|
||||
"codingmonster1234/Llama-3.1-Minitron-4B-Chess-Reasoning",
|
||||
"modrill/qwen3-4b-think-baseline-lora-sft",
|
||||
"DreadPoor/Famino-12B-Model_Stock",
|
||||
"Luimas/claim-extractor-detective-qwen3b",
|
||||
"QCRI/AZERG-T3-Mistral",
|
||||
"YuchenLi01/ultrafeedbackSkyworkAgree_alignmentZephyr7BSftFull_sdpo_score_ebs64_lr1e-07_2",
|
||||
"royallab/MN-LooseCannon-12B-v2",
|
||||
"modrill/qwen3-4b-nothink-baseline-lora-sft",
|
||||
"AnkitBirGurung/Helpful_NEMO_12B_SFT_Further",
|
||||
"SicariusSicariiStuff/Impish_Bloodmoon_12B_Abliterated",
|
||||
"edusc182/Zen-AI-3B-Full",
|
||||
"Nitral-AI/Captain-Eris_Violet-V0.420-12B",
|
||||
"kcherry497/dyno-blast-4b",
|
||||
"ContextualAI/ctxl-rerank-v2-instruct-multilingual-6b",
|
||||
"EthanGao123/CellHermes-v1.0",
|
||||
"RecursiveMAS/Mixture-Science-BioMistral-7B",
|
||||
"chenyitian-shanshu/SIRL-Gurobi",
|
||||
"RedHatAI/gemma-2-9b-it",
|
||||
"gaunernst/gemma-3-27b-it-qat-autoawq",
|
||||
"promotion/qwen3-8b-simpo-avg-b2p5-g1p0-s42",
|
||||
"allenai/OLMoE-1B-7B-0924-SFT",
|
||||
"llamaindex/vdr-2b-multi-v1",
|
||||
"KordAI/Typhoon-Gemma3-KordTranslate-EN-TH-4B",
|
||||
"TheDrummer/UnslopNemo-12B-v3",
|
||||
"gradients-io-tournaments/tournament-tourn_c5d86c82ce819a79_20260706-b78a01d4-0a6a-49e1-9190-5e88ae329937-5DS6XMVr",
|
||||
"OpenLLM-Ro/RoMistral-7b-Instruct",
|
||||
"ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1",
|
||||
]
|
||||
|
||||
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",
|
||||
]
|
||||
|
||||
CAMBRICON_MODELS = [
|
||||
"EphemeralYou/Prompt-Refine-MiniCPM5-1B",
|
||||
"ToxicityPrompts/PolyGuard-Ministral",
|
||||
"Adithyaaaa/chemistry-mistral-7b-v0.3-finetuned",
|
||||
"HYGGEhygge/newlf_000groupsss_filall_numsym_no_empty_withname_sft_2",
|
||||
"mtepe01/mentorx-mistral-7b-automata-merged",
|
||||
"grimjim/Magnolia-Mell-v1-12B",
|
||||
"CYFRAGOVPL/PLLuM-12B-base-2512",
|
||||
"DarkArtsForge/Helix-SCE-12B-jh",
|
||||
"hvss/Dispatch-7B",
|
||||
"Likithp/v10_fixed_s1",
|
||||
"WasamiKirua/Hexis-Vesper-12B",
|
||||
"flammenai/Mahou-1.5-mistral-nemo-12B",
|
||||
"Likithp/v10_rand_s1",
|
||||
"ibm-granite/granite-3.3-8b-math-prm-v2",
|
||||
"mindfossil/5g-core-rca-model",
|
||||
"build-small-hackathon/compliment-forest-minicpm5-1b",
|
||||
"Elizezen/Berghof-ERP-7B",
|
||||
"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",
|
||||
"QCRI/AZERG-MixTask-Mistral",
|
||||
"NithinAI12/NithinX-Omni-LLM-v1",
|
||||
"JoaoZaokk/Qwen3-4B-Thinking-2507-Heretic-CodeFeedback",
|
||||
"Wenboz/zephyr-7b-dpo-full",
|
||||
"NeverSleep/Lumimaid-v0.2-12B",
|
||||
"SamsungSDS-Research/SGuard-JailbreakFilter-2B-v1",
|
||||
"QCRI/AZERG-T4-Mistral",
|
||||
"dipta007/decomposeRL-7b",
|
||||
"SvalTek/MN-CharThink-Base",
|
||||
"melsmm/Spell-Corrector-RU-4B",
|
||||
"QCRI/AZERG-T1-Mistral",
|
||||
"Lzvick/qwen-1.7b-math-reasoner-grpo",
|
||||
"vclmax/nemo-12b-expansion-v1",
|
||||
"ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2",
|
||||
"kosiasuzu/chatml-agent-llama-3.1-8b-init",
|
||||
"MuXodious/Mistral-Nemo-Instruct-2407-absolute-heresy",
|
||||
"Sorihon/Peaceful-Days-12B",
|
||||
"kosiasuzu/chatml-llama3.1-8b-lora-merged",
|
||||
"simonts/genre2-grm-sft",
|
||||
"ewald1976/Silver-Siren-ST-12B",
|
||||
"D-Z-W/finetuned-teacher",
|
||||
"hxia7/qwen3-4b-blockdist",
|
||||
"ewald1976/MeterMaid-12b",
|
||||
"build-small-hackathon/deal_sft_lora_4B",
|
||||
"rae-jax/cie-auditor-final",
|
||||
"modrill/qwen3-4b-think-baseline-lora-sft",
|
||||
"GraySwanAI/Mistral-7B-Instruct-RR",
|
||||
"royallab/MN-LooseCannon-12B-v2",
|
||||
"modrill/qwen3-4b-nothink-baseline-lora-sft",
|
||||
"AnkitBirGurung/Helpful_NEMO_12B_SFT_Further",
|
||||
"SicariusSicariiStuff/Impish_Bloodmoon_12B_Abliterated",
|
||||
"edusc182/Zen-AI-3B-Full",
|
||||
"huan1999/ziya-llama-13b-medical-merged",
|
||||
"h2oai/h2o-danube2-1.8b-base",
|
||||
"Nitral-AI/Captain-Eris_Violet-V0.420-12B",
|
||||
"modrill/qwen3-4b-think-baseline-full-sft",
|
||||
"kcherry497/dyno-blast-4b",
|
||||
"ld4ad/gemma-2-9b-dunhuang",
|
||||
"harindhar10/Olmo-7b_1M_Smiles_lora",
|
||||
"ishikauniphore/multilingual_reasoner_multilingual_cot",
|
||||
"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",
|
||||
"RecursiveMAS/Mixture-Science-BioMistral-7B",
|
||||
"bvmhd/Qwen2.5-1.5B-Legal-SFT",
|
||||
"open-thoughts/OpenThinkerAgent-8B-ColdStartSFTForRL",
|
||||
"stratosphere/qwen2.5-1.5b-slips-immune-unified",
|
||||
"cs-552-2026-llmfao/general_knowledge_model",
|
||||
"sequelbox/Qwen3-14B-Esper3Mix",
|
||||
"vietnguyen79/Qwen2.5-0.2B",
|
||||
"0xgr3y/Qwen3-0.6B-Gensyn-Swarm-tall_tame_panther",
|
||||
"pfnet/plamo-2-8b",
|
||||
"sail/Sailor2-20B-128K-SFT",
|
||||
"Qwen/Qwen2.5-32B",
|
||||
"Qwen/Qwen-Image",
|
||||
"ibm-granite/granite-4.1-8b-base",
|
||||
"danielm1405/lr-1e-05-epochs-1.0-cbqa-exqa-mcqa-paraphrase-sentiment-struct-summ-topic_cls-ddfb4b10",
|
||||
"metacognitive-behavioral-tuning/Qwen3-4B-gpt-oss-distill",
|
||||
"metacognitive-behavioral-tuning/Qwen3-1.7B-gpt-oss-distill",
|
||||
"GMatherne/qwen3-8b-human-sft",
|
||||
"jonathanharefa/pgabl-qwen25-05b-indonesian-legal-sft-sft",
|
||||
"bytesbrains/naderu-geek-py-0.5b",
|
||||
"shad0wcrawl3r/Qwen2.5-1.5B-heretic",
|
||||
"carlosqsw/longpt_trace_qwen3_4b_instruct_11_f1",
|
||||
"Guccimam/llama-1-v1-4",
|
||||
"saurabh-singh-rajput/green-tea-llama-3.1-8b-energy-sft",
|
||||
"PursuitOfDataScience/Argonne-Qwen1.5-0.5B-think",
|
||||
"gguk2on/qwen2.5-7B-step_min_g8_b384_math",
|
||||
"ismailelsayedeltanja/Qwen2.5-1.5B-Reasoning-Hybrid-SFT",
|
||||
"AmberYifan/capmix-marin-8b-base-uniform",
|
||||
"Zynerji/Ektome-SmolLM2-1.7Bi-PristinelyUncensored",
|
||||
"Zynerji/Ektome-Qwen2-0.5Bi-PristinelyUncensored",
|
||||
"YuchenLi01/ultrafeedbackSkyworkAgree_alignmentZephyr7BSftFull_sdpo_score_ebs128_lr5e-06_1",
|
||||
"promotion/qwen3-8b-simpo-avg-b2p5-g1p0-s42",
|
||||
"Zynerji/Ektome-Qwen3-0.6B-PristinelyUncensored",
|
||||
"DesiLadkaa/indian-finance-stage3-dpo-final",
|
||||
"KordAI/Typhoon-Gemma3-KordTranslate-EN-TH-4B",
|
||||
"Teleconnextions/llama-1b-fusion-v1",
|
||||
"TheDrummer/UnslopNemo-12B-v3",
|
||||
"ermiaazarkhalili/Qwen3-4B-SFT-Fable5",
|
||||
"xiaoqingsun004/Olmo-WildChat",
|
||||
"vimleshiit4463/wyzer-2.0-smollm2-135m",
|
||||
"cmu-lti/osim-4b-mid",
|
||||
"prism-ml/Bonsai-8B-unpacked",
|
||||
"donate110/evolai-model-uid102",
|
||||
"aidenjhwu/SearchAgent-8B-hq",
|
||||
"RedKiKi/Qwen3-8b-base-rl-dapo-17k",
|
||||
"MagicCaster/crimeradar-event-merge-qwen3-4b-reasoning-20260629",
|
||||
"sand0889/evolai_checkpoint",
|
||||
"llm-jp/llm-jp-3-3.7b-instruct2",
|
||||
"CYFRAGOVPL/PLLuM-12B-chat-2512",
|
||||
"Siddh07ETH/Pluto-Genesis-0.6B",
|
||||
"prism-ml/Ternary-Bonsai-1.7B-unpacked",
|
||||
"ellamind/propella-1-0.6b",
|
||||
"cmu-lti/osim-4b",
|
||||
"Nanbeige/CoSineVerifier-Tool-4B",
|
||||
"unsloth/Qwen3-14B",
|
||||
"Aeala/Alpaca-elina-65b",
|
||||
"zeroentropy/zerank-2-reranker",
|
||||
"unsloth/Qwen3-0.6B",
|
||||
"PrimeIntellect/Qwen3-0.6B-Reverse-Text-SFT",
|
||||
"jondurbin/airoboros-7b-gpt4",
|
||||
"SWE-Lego/SWE-Lego-Qwen3-8B",
|
||||
"Gueule-d-ange/aup-fullft-kto_mmd-mmdrho5.19e-3_kr0.1-seed4",
|
||||
"Gueule-d-ange/aup-fullft-kto_kl-klam0.0333_beta0.1-seed4",
|
||||
"Gueule-d-ange/aup-fullft-kto_w1_mmd-w1lam8.4e-4_mmdrho8.4e-4_kr0.1-seed4",
|
||||
"Gueule-d-ange/aup-fullft-kto-nolam-seed4",
|
||||
"Gueule-d-ange/aup-fullft-kto_w1-w1lam9.68e-4-seed4",
|
||||
"gulsmyigit/base_PLABA-slerp_merged_ministral8b",
|
||||
]
|
||||
|
||||
# 按顺序处理：MetaX → Kunlunxin → Biren → Cambricon
|
||||
GPU_JOBS: List[Tuple[str, List[str]]] = [
|
||||
("MetaX_c-500", METAX_MODELS),
|
||||
("Kunlunxin_p-800", KUNLUNXIN_MODELS),
|
||||
("Biren_166m", BIREN_MODELS),
|
||||
("Cambricon_mlu-370-x8", CAMBRICON_MODELS),
|
||||
]
|
||||
TOTAL_MODELS = sum(len(models) for _, models in GPU_JOBS)
|
||||
|
||||
# ══════════════════════════════════════════════════════════
|
||||
# 全局状态（供 /status 展示）
|
||||
# ══════════════════════════════════════════════════════════
|
||||
_state = {
|
||||
"strategy_id": STRATEGY_ID,
|
||||
"phase": "starting", # starting | submitting | done | error
|
||||
"total": len(ALL_MODEL_IDS),
|
||||
"submitted": 0,
|
||||
"failed": 0,
|
||||
"started_at": None,
|
||||
"finished_at": None,
|
||||
"strategy_id": STRATEGY_ID,
|
||||
"phase": "starting", # starting | submitting | done | error
|
||||
"total": TOTAL_MODELS,
|
||||
"submitted": 0,
|
||||
"failed": 0,
|
||||
"per_account": {label: 0 for label, _, _ in ACCOUNTS},
|
||||
"current_account": ACCOUNTS[0][0],
|
||||
"started_at": None,
|
||||
"finished_at": None,
|
||||
}
|
||||
_shutdown = threading.Event()
|
||||
|
||||
@@ -202,10 +552,30 @@ def _run_http():
|
||||
print("[http] 已关闭", flush=True)
|
||||
|
||||
# ══════════════════════════════════════════════════════════
|
||||
# 业务逻辑
|
||||
# 各 GPU 的 config_content 模板
|
||||
# ══════════════════════════════════════════════════════════
|
||||
def submit_task(model_id: str) -> bool:
|
||||
config_content = f"""
|
||||
def build_config_content(gpu_type: str, model_id: str) -> str:
|
||||
if gpu_type == "MetaX_c-500":
|
||||
return f"""
|
||||
docker_image: git.modelhub.org.cn:9443/enginex-metax/vllm:0.9.1
|
||||
nv_docker_image: harbor.4pd.io/dooke/vllm/vllm/vllm-openai:v0.11.0
|
||||
framework: vllm
|
||||
lang: en
|
||||
storage: gpfs
|
||||
api: chat
|
||||
|
||||
max_model_len: 4096
|
||||
sut_config:
|
||||
gpu_num: 1
|
||||
values:
|
||||
command: ['/opt/conda/bin/vllm', 'serve', '/model', '--port', '20644', '--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']
|
||||
"""
|
||||
elif gpu_type == "Kunlunxin_p-800":
|
||||
return 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
|
||||
@@ -226,39 +596,91 @@ sut_config:
|
||||
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']
|
||||
|
||||
command: [vllm, serve, /model, --port, '80', --served-model-name, llm, --max-model-len, '4096', --enforce-eager, --trust-remote-code, -tp, '1']
|
||||
"""
|
||||
elif gpu_type == "Biren_166m":
|
||||
max_model_len = 4096
|
||||
return f"""
|
||||
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: zh
|
||||
storage: gpfs
|
||||
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
|
||||
"""
|
||||
elif gpu_type == "Cambricon_mlu-370-x8":
|
||||
return f"""
|
||||
docker_image: harbor.4pd.io/hardcore-tech/cambricon-mlu370-pytorch:v25.01-torch2.5.0-torchmlu1.24.1-ubuntu22.04-py310
|
||||
nv_docker_image: harbor.4pd.io/dooke/vllm/vllm/vllm-openai:v0.11.0
|
||||
framework: vllm
|
||||
storage: gpfs
|
||||
|
||||
sut_config:
|
||||
values:
|
||||
gpu_num: 1
|
||||
env:
|
||||
- name: MAX_MODEL_LEN
|
||||
value: 8192
|
||||
command: ["vllm", "serve", "/model", "--port", "8000", "--served-model-name", "llm", "--max-model-len", "8192", "--trust-remote-code", "--dtype", "float16"]
|
||||
ref_config:
|
||||
values:
|
||||
cpu_num: 2
|
||||
gpu_num: 1
|
||||
env:
|
||||
- name: MAX_MODEL_LEN
|
||||
value: 8192
|
||||
command: ["vllm", "serve", "/model", "--port", "80", "--served-model-name", "llm", "--max-model-len", "8192", "--trust-remote-code", "--dtype", "float16"]
|
||||
"""
|
||||
else:
|
||||
raise ValueError(f"未知的 GPU_TYPE: {gpu_type}")
|
||||
|
||||
# ══════════════════════════════════════════════════════════
|
||||
# 业务逻辑
|
||||
# ══════════════════════════════════════════════════════════
|
||||
def submit_task(gpu_type: str, xc_token: str, model_id: str):
|
||||
"""返回 (code, message)；code == 0 表示提交成功。"""
|
||||
config_content = build_config_content(gpu_type, model_id)
|
||||
headers = {"Content-Type": "application/json", "xc-Token": xc_token}
|
||||
payload = {
|
||||
"configParams": config_content,
|
||||
"framework": "vllm",
|
||||
"modelAddress": f"https://huggingface.co/{model_id}",
|
||||
"targetGpu": GPU_TYPE,
|
||||
"targetGpu": gpu_type,
|
||||
"taskType": TASK_TYPE,
|
||||
"strategyId": STRATEGY_ID, # 平台要求；若接口不支持该字段会被忽略
|
||||
}
|
||||
|
||||
print(f"📤 提交任务: {model_id}", flush=True)
|
||||
print(f"📤 提交任务: {model_id} (GPU={gpu_type})", flush=True)
|
||||
try:
|
||||
resp = requests.post(
|
||||
BASE_URL + ADD_TASK_ENDPOINT,
|
||||
headers=HEADERS,
|
||||
headers=headers,
|
||||
json=payload,
|
||||
timeout=30,
|
||||
)
|
||||
print(f"status: {resp.status_code}", flush=True)
|
||||
result = resp.json()
|
||||
print(result, flush=True)
|
||||
if result.get("code") == 0:
|
||||
print(f"✅ 提交成功: {model_id}", flush=True)
|
||||
return True
|
||||
else:
|
||||
print(f"❌ 提交失败: {result.get('message')}", flush=True)
|
||||
return False
|
||||
print(f"status={resp.status_code} result={result}", flush=True)
|
||||
return result.get("code"), result.get("message")
|
||||
except Exception as e:
|
||||
print(f"💥 异常 ({model_id}): {e}", flush=True)
|
||||
return False
|
||||
return -1, str(e)
|
||||
|
||||
|
||||
def _run_worker():
|
||||
@@ -266,26 +688,59 @@ def _run_worker():
|
||||
_state["phase"] = "submitting"
|
||||
|
||||
successful: List[str] = []
|
||||
for model_id in ALL_MODEL_IDS:
|
||||
account_idx = 0
|
||||
|
||||
for gpu_type, model_list in GPU_JOBS:
|
||||
if _shutdown.is_set():
|
||||
break
|
||||
if submit_task(model_id):
|
||||
_state["submitted"] += 1
|
||||
successful.append(model_id)
|
||||
else:
|
||||
_state["failed"] += 1
|
||||
print(f"\n{'='*60}\n🚀 开始处理 GPU={gpu_type}，共 {len(model_list)} 个模型\n{'='*60}", flush=True)
|
||||
|
||||
for model_id in model_list:
|
||||
if _shutdown.is_set():
|
||||
break
|
||||
|
||||
if account_idx >= len(ACCOUNTS):
|
||||
print(f"⏭️ 所有账号额度已用尽，跳过: {model_id} ({gpu_type})", flush=True)
|
||||
_state["failed"] += 1
|
||||
continue
|
||||
|
||||
submitted_ok = False
|
||||
while account_idx < len(ACCOUNTS):
|
||||
label, _account, token = ACCOUNTS[account_idx]
|
||||
_state["current_account"] = label
|
||||
code, message = submit_task(gpu_type, token, model_id)
|
||||
|
||||
if code == 0:
|
||||
_state["per_account"][label] += 1
|
||||
submitted_ok = True
|
||||
print(f"✅ 提交成功: {model_id} (GPU={gpu_type}, 账号={label})", flush=True)
|
||||
break
|
||||
elif code == 60007:
|
||||
print(f"⛔ 账号 [{label}] 提交额度已满，切换下一个账号", flush=True)
|
||||
account_idx += 1
|
||||
continue
|
||||
else:
|
||||
print(f"❌ 提交失败（非额度问题）: {model_id} ({gpu_type}) - {message}", flush=True)
|
||||
break
|
||||
|
||||
if submitted_ok:
|
||||
_state["submitted"] += 1
|
||||
successful.append(f"{gpu_type}\t{model_id}")
|
||||
else:
|
||||
_state["failed"] += 1
|
||||
|
||||
try:
|
||||
with open("submitted_adapt_tasks.txt", "w", encoding="utf-8") as f:
|
||||
for mid in successful:
|
||||
f.write(f"{mid}\n")
|
||||
for line in successful:
|
||||
f.write(line + "\n")
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
_state["finished_at"] = datetime.utcnow().isoformat()
|
||||
_state["phase"] = "done"
|
||||
print(
|
||||
f"[worker] 完成 submitted={_state['submitted']} failed={_state['failed']} total={_state['total']}",
|
||||
f"[worker] 完成 submitted={_state['submitted']} failed={_state['failed']} "
|
||||
f"total={_state['total']} per_account={_state['per_account']}",
|
||||
flush=True,
|
||||
)
|
||||
# 提交完成后继续保持进程存活，等待平台停止
|
||||
|
||||
Reference in New Issue
Block a user