Compare commits
14 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
| 9b5087467f | |||
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| 5958df93b0 | |||
| a73274e6a4 | |||
| b3c577219f | |||
| 1591b3050e | |||
| 55c77faa70 | |||
| e51533e0bf | |||
| 4e603b9fb0 | |||
| 5fe8bf27e5 | |||
| d6b0e416db | |||
| 4dcfed6b6d | |||
| 1e8cfacd8e | |||
| d6cca90496 |
2
.gitignore
vendored
Normal file
2
.gitignore
vendored
Normal file
@@ -0,0 +1,2 @@
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||||
.DS_Store
|
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__pycache__/
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@@ -1,6 +1,7 @@
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FROM modelhubxc-4pd.tencentcloudcr.com/xc_agent_platform/python:3.11-slim
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ENV PYTHONUNBUFFERED=1
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ENV PYTHONUNBUFFERED=1
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WORKDIR /app
|
||||
|
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|
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607
main.py
607
main.py
@@ -1,7 +1,9 @@
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"""
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xc_validation_strategy — 主入口
|
||||
|
||||
启动后执行一次模型验证任务批量提交，之后保持 HTTP 服务存活。
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启动后针对 4 张 GPU 卡（Biren_166m / Cambricon_mlu-370-x8 / MetaX_c-500 /
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Kunlunxin_p-800）分别批量提交各自筛选出的模型验证任务（/adminApi/async/task/create-contest-task，
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Bearer Token 认证），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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"""
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@@ -22,10 +24,9 @@ BASE_URL = os.environ.get("BASE_URL", "https://modelhub.org.cn")
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SUBMIT_ENDPOINT = "/adminApi/async/task/create-contest-task"
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# 通过 curl -X POST https://modelhub.org.cn/adminApi/user/login 获取后填入
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AUTH_TOKEN = "eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJ1c2VyQWNjb3VudCI6Inpob3VzaGFzaGEiLCJpZCI6MTQsInVzZXJSb2xlIjoibGVhZGVyYm9hcmQiLCJleHAiOjE3ODE4NTE0NzcsImlhdCI6MTc4MTI0NjY3N30.p3uvCpG50aLNifNVVXxvzmWJahbLM5K1671FVCtj8E8"
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AUTH_TOKEN = "eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJ1c2VyQWNjb3VudCI6Inpob3VzaGFzaGEiLCJpZCI6MTQsInVzZXJSb2xlIjoibGVhZGVyYm9hcmQiLCJleHAiOjE3ODU3NDY3NTMsImlhdCI6MTc4NTE0MTk1M30.KwUuefNAFSNwq3_Pnaw2nef8ZC6WgsECQ_LMeQnKk2c"
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CONTEST_API_TOKEN = "ef1ef82f3c9efee413d602345fbe224d"
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CONTRIBUTORS = "zhoushasha"
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GPU_TYPE = "Cambricon_mlu-370-x8"
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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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@@ -33,351 +34,140 @@ 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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# 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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ALL_MODEL_IDS = [
|
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"UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3",
|
||||
"migtissera/SynthIA-7B-v1.3",
|
||||
"TinyLlama/TinyLlama-1.1B-intermediate-step-955k-token-2T",
|
||||
"bigscience/bloomz-1b1",
|
||||
"EleutherAI/pythia-6.9b-deduped",
|
||||
"AvitoTech/avibe",
|
||||
"Enoch/llama-7b-hf",
|
||||
"asingh15/qwen-abs-verl-sft-rephrased-lr5e6-ep1-0109",
|
||||
"PrimeIntellect/INTELLECT-1",
|
||||
"neuralmagic/starcoder2-3b-quantized.w8a8",
|
||||
"Saxo/Linkbricks-Horizon-AI-Korean-Gemma-2-sft-dpo-27B",
|
||||
"HuggingFaceH4/zephyr-7b-gemma-v0.1",
|
||||
"neuralmagic/Llama-2-7b-chat-quantized.w4a16",
|
||||
"neuralmagic/starcoder2-15b-quantized.w8a8",
|
||||
"DAMO-NLP-SG/Qwen2.5-7B-LongPO-128K",
|
||||
"guardrail/llama-2-7b-guanaco-instruct-sharded",
|
||||
"shenzhi-wang/Gemma-2-27B-Chinese-Chat",
|
||||
"pavankumarbalijepalli/phi2-sqlcoder",
|
||||
"neph1/bellman-7b-mistral-instruct",
|
||||
"neuralmagic/Meta-Llama-3-8B-Instruct-quantized.w8a16",
|
||||
"neuralmagic/Qwen2-7B-Instruct-quantized.w8a8",
|
||||
"lamm-mit/BioinspiredLLM",
|
||||
"neuralmagic/Qwen2-7B-Instruct-quantized.w8a16",
|
||||
"dataopsnick/Qwen3-4B-Instruct-2507-zip-rc",
|
||||
"huihui-ai/MicroThinker-3B-Preview",
|
||||
"OrionStarAI/Orion-14B-Base",
|
||||
"georgesung/llama3_8b_chat_uncensored",
|
||||
"FreedomIntelligence/RAG-Instruct-Llama3-3B",
|
||||
"Aryanne/WestSenzu-Swap-7B",
|
||||
"Josephgflowers/Cinder-Phi-2-Test-1",
|
||||
"FreedomIntelligence/Apollo-6B",
|
||||
"Josephgflowers/Tinyllama-1.3B-Cinder-Reason-Test-2",
|
||||
"Josephgflowers/Tinyllama-1.3B-Cinder-Reason-Test",
|
||||
"247labs/Llama-2-7b-Verse-Bot",
|
||||
"praneethposina/customer_support_bot",
|
||||
"KBlueLeaf/TIPO-200M",
|
||||
"norallm/normistral-11b-warm",
|
||||
"theprint/Boptruth-Agatha-7B",
|
||||
"ericflo/Llama-3.1-8B-ContinuedTraining2-FFT",
|
||||
"okwinds/OpenR1-Qwen-7B",
|
||||
"ruohuaw/deepquery-3b-sft",
|
||||
"theprint/Boptruth-NeuralMonarch-7B",
|
||||
"MaziyarPanahi/calme-3.1-qwenloi-3b",
|
||||
"alperiox/trendyol-7b-base-v1-mtLoRA_entr",
|
||||
"theprint/phi-3-mini-4k-python",
|
||||
"uukuguy/speechless-nl2sql-ds-6.7b",
|
||||
"uukuguy/speechless-coder-ds-6.7b",
|
||||
"tybrs/llama-guard-quant",
|
||||
"Josephgflowers/TinyLlama-3T-Cinder-v1.3",
|
||||
"mlabonne/Darewin-7B-v2",
|
||||
"TeichAI/Qwen3-1.7B-Gemini-2.5-Flash-Lite-Preview-Distill",
|
||||
"TeichAI/Nemotron-Orchestrator-8B-DeepSeek-v3.2-Speciale-Distill",
|
||||
"shadowml/BeagSake-7B",
|
||||
"lex-hue/Delexa-7b",
|
||||
"h2oai/h2o-danube3-500m-chat",
|
||||
"bigcode/gpt_bigcode-santacoder",
|
||||
"openlm-research/open_llama_7b",
|
||||
"upstage/SOLAR-10.7B-v1.0",
|
||||
"prithivMLmods/Phi-3.5-Mini-Xalate",
|
||||
"prithivMLmods/Qwen3-Bifrost-SOL-4B-GUFF",
|
||||
"prithivMLmods/Volans-Opus-14B-Exp",
|
||||
"prithivMLmods/Viper-OneCoder-UIGEN",
|
||||
"prithivMLmods/Tucana-Opus-14B-r999",
|
||||
"prithivMLmods/Sombrero-Opus-14B-Sm5",
|
||||
"prithivMLmods/Sombrero-Opus-14B-Sm4",
|
||||
"prithivMLmods/Reasoning-SmolLM2-135M",
|
||||
"prithivMLmods/Sombrero-Opus-14B-Sm1",
|
||||
"prithivMLmods/LwQ-10B-Instruct",
|
||||
"prithivMLmods/Sombrero-Opus-14B-Elite5",
|
||||
"prithivMLmods/Eridanus-Opus-14B-r999",
|
||||
"prithivMLmods/Equuleus-Opus-14B-Exp",
|
||||
"prithivMLmods/Epimetheus-14B-Axo",
|
||||
"prithivMLmods/Phi-4-Math-IO",
|
||||
"prithivMLmods/Omni-Reasoner4-Merged",
|
||||
"prithivMLmods/Pegasus-Opus-14B-Exp",
|
||||
"prithivMLmods/Elita-1",
|
||||
"prithivMLmods/Delta-Pavonis-Qwen-14B",
|
||||
"prithivMLmods/Nu2-Lupi-Qwen-14B",
|
||||
"prithivMLmods/Coma-II-14B",
|
||||
"MaziyarPanahi/calme-2.7-qwen2-7b",
|
||||
"prithivMLmods/Monocerotis-V838-14B",
|
||||
"prithivMLmods/Calcium-Opus-14B-Merge",
|
||||
"prithivMLmods/Calcium-Opus-14B-Elite3",
|
||||
"prithivMLmods/Calcium-Opus-14B-Elite2-R1",
|
||||
"prithivMLmods/Calcium-Opus-14B-Elite2",
|
||||
"prithivMLmods/Calcium-Opus-14B-Elite-Stock",
|
||||
"prithivMLmods/Megatron-Opus-14B-2.1",
|
||||
"prithivMLmods/Blaze.1-27B-Reflection",
|
||||
"prithivMLmods/Megatron-Corpus-14B-Exp.v2",
|
||||
"prithivMLmods/Megatron-Corpus-14B-Exp",
|
||||
"GAIR/autoj-bilingual-6b",
|
||||
"TheBloke/airoboros-7b-gpt4-fp16",
|
||||
"Undi95/Mistral-11B-OmniMix9",
|
||||
"PKU-Alignment/ProgressGym-HistLlama3-8B-C016-pretrain-v0.2",
|
||||
"PKU-Alignment/ProgressGym-HistLlama3-8B-C017-instruct-v0.2",
|
||||
"mlabonne/NeuralDarewin-7B",
|
||||
"0xgr3y/Qwen2.5-Coder-0.5B-Instruct-Gensyn-Swarm-tall_tame_panther",
|
||||
"openlm-research/open_llama_3b_v2",
|
||||
"Nobitaxi/InternLM2-chat-7B-SQL",
|
||||
"testUser/Qwen3-1.7b-Medical-R1-sft",
|
||||
"mlabonne/Zebrafish-7B",
|
||||
"mlabonne/NeuralPipe-7B-slerp",
|
||||
"laion/openthoughts-4-code-qwen3-32b-annotated-7k_qwen3-1.7B_10k",
|
||||
"Fengshenbang/Ziya-LLaMA-13B-v1.1",
|
||||
"arcee-ai/Saul-Instruct-Mistral-7B-Instruct-v0.2-Slerp",
|
||||
"arcee-ai/Saul-Instruct-Clown-7b",
|
||||
"prithivMLmods/Megatron-Opus-7B-Exp",
|
||||
"Vikhrmodels/QVikhr-3-8B-Instruction",
|
||||
"TheBloke/Nous-Hermes-13B-SuperHOT-8K-fp16",
|
||||
"TheBloke/UltraLM-13B-fp16",
|
||||
"PocketDoc/Dans-TotSirocco-7b",
|
||||
"LLM-Research/Meta-Llama-3.1-8B",
|
||||
"Qwen/Qwen2.5-Coder-32B",
|
||||
"Qwen/Qwen2.5-7B-Instruct-1M",
|
||||
"Qwen/Qwen2-57B-A14B-Instruct",
|
||||
"Qwen/Qwen2.5-14B-Instruct-1M",
|
||||
"Qwen/Qwen-1_8B-Chat",
|
||||
"Qwen/Qwen1.5-MoE-A2.7B-Chat",
|
||||
"Qwen/Qwen1.5-MoE-A2.7B",
|
||||
"Qwen/Qwen1.5-14B-Chat",
|
||||
"Qwen/Qwen1.5-14B",
|
||||
"Qwen/Qwen-14B",
|
||||
"deepseek-ai/DeepSeek-Coder-V2-Lite-Base",
|
||||
"TheBloke/tulu-13B-fp16",
|
||||
"TheBloke/Kimiko-Mistral-7B-fp16",
|
||||
"TheBloke/Llama-2-13B-fp16",
|
||||
"mlabonne/Monarch-7B",
|
||||
"TheBloke/tulu-7B-fp16",
|
||||
"01ai/Yi-9B",
|
||||
"TheBloke/koala-7B-HF",
|
||||
"AI-ModelScope/txgemma-2b-predict",
|
||||
"LLM-Research/OLMo-7B-0724-SFT-hf",
|
||||
"JsonZhang02/Llama3.2-1B-PCL",
|
||||
"PKU-Alignment/ProgressGym-HistLlama3-8B-C019-instruct-v0.2",
|
||||
"PKU-Alignment/ProgressGym-HistLlama3-8B-C016-instruct-v0.2",
|
||||
"FreedomIntelligence/AceGPT-v1.5-13B-Chat",
|
||||
"MediaTek-Research/Breeze-7B-Base-v0_1",
|
||||
"OpenBuddy/openbuddy-llama3-8b-v21.1-8k",
|
||||
"HIT-TMG/Mixtral_13B_Chat_RAG-Reader",
|
||||
"PKU-Alignment/ProgressGym-HistLlama3-8B-C014-pretrain-v0.2",
|
||||
"arcee-ai/arcee-lite",
|
||||
"X-D-Lab/MindChat-Qwen2-4B",
|
||||
"mlabonne/NeuralMonarch-7B",
|
||||
"ibm-granite/granite-3b-code-instruct-2k",
|
||||
"LLM-Research/OLMo-7B-Twin-2T-hf",
|
||||
"PocketDoc/Dans-AdventurousWinds-Mk2-7b",
|
||||
"LLM-Research/Qwen2-Math-7B",
|
||||
"MediaTek-Research/Breeze-7B-Base-v1_0",
|
||||
"LLM-Research/layerskip-llama2-13B",
|
||||
"prithivMLmods/TESS-QwenRe-1.5B",
|
||||
"prithivMLmods/Octantis-QwenR1-1.5B",
|
||||
"prithivMLmods/Qwen3-1.7B-ft-bf16",
|
||||
"prithivMLmods/Theta-Crucis-0.6B-Turbo1",
|
||||
"prithivMLmods/Omega-Qwen3-Atom-8B",
|
||||
"prithivMLmods/Mintaka-Qwen3-1.6B-V3.1",
|
||||
"NousResearch/Yarn-Llama-2-7b-64k",
|
||||
"prithivMLmods/Panacea-MegaScience-Qwen3-1.7B",
|
||||
"prithivMLmods/TOI-157-Phi-4-Reasoning-Mini",
|
||||
"prithivMLmods/Vulpecula-4B",
|
||||
"LLM-Research/OLMo-7B-0424-hf",
|
||||
"LLM-Research/OLMo-7B-hf",
|
||||
"LLM-Research/OLMo-7B-SFT-hf",
|
||||
"AI-ModelScope/starcoder2-7b",
|
||||
"LLM-Research/OLMo-7B-0724-hf",
|
||||
"OpenBMB/BitCPM4-1B",
|
||||
"LLM-Research/truthfulqa-truth-judge-llama2-7B",
|
||||
"LLM-Research/OLMo-1B-0724-hf",
|
||||
"HIT-TMG/Qwen1.5-14B-Chat_RAG-Reader",
|
||||
"OpenBMB/MiniCPM4-MCP",
|
||||
"AI-ModelScope/sqlcoder-7b-2",
|
||||
"FuseAI/OpenChat-3.5-7B-SOLAR-v2.0",
|
||||
"JsonZhang02/Llama3.2-1B-SFT",
|
||||
"MaziyarPanahi/neural-chat-7b-v3-2-Mistral-7B-Instruct-v0.1",
|
||||
"MaziyarPanahi/SauerkrautLM-7b-HerO-Mistral-7B-Instruct-v0.1",
|
||||
"prithivMLmods/Segue-Qwen3_DeepScaleR-Preview",
|
||||
"NovaSky-AI/Sky-T1-7B-Zero",
|
||||
"PKU-Alignment/ProgressGym-HistLlama3-8B-C020-pretrain-v0.2",
|
||||
"NovaSky-AI/Sky-T1-7B-step2",
|
||||
"NousResearch/CodeLlama-7b-hf-flash",
|
||||
"LLM-Research/layerskip-llama3-8B",
|
||||
"LLM-Research/OLMo-1B-hf",
|
||||
"PKU-Alignment/ProgressGym-HistLlama3-8B-C018-pretrain-v0.2",
|
||||
"NousResearch/CodeLlama-7b-Instruct-hf-flash",
|
||||
"Nexusflow/NexusRaven-V2-13B",
|
||||
"AI-ModelScope/NuExtract-v1.5",
|
||||
"NousResearch/Nous-Capybara-3B-V1.9",
|
||||
"NousResearch/Nous-Capybara-7B-V1",
|
||||
"NousResearch/Yarn-Solar-10b-32k",
|
||||
"LLM-Research/Llama-Guard-4-12B",
|
||||
"OpenPipe/gemma-3-4b-it-text-only-2",
|
||||
"OpenPipe/Deductive-Reasoning-Qwen-14B",
|
||||
"OpenPipe/gemma-3-12b-it-text-only",
|
||||
"AI-MO/NuminaMath-7B-CoT",
|
||||
"GAIR/Abel-7B-001",
|
||||
"prithivMLmods/Novaeus-Promptist-7B-Instruct",
|
||||
"SakanaAI/EvoLLM-JP-v1-7B",
|
||||
"FreedomIntelligence/Apollo-1.8B",
|
||||
"PKU-Alignment/ProgressGym-HistLlama3-8B-C013-instruct-v0.2",
|
||||
"PKU-Alignment/ProgressGym-HistLlama3-8B-C013-pretrain-v0.2",
|
||||
"PKU-Alignment/ProgressGym-HistLlama3-8B-C015-pretrain-v0.2",
|
||||
"PKU-Alignment/ProgressGym-HistLlama3-8B-C014-instruct-v0.2",
|
||||
"PKU-Alignment/ProgressGym-HistLlama3-8B-C021-instruct-v0.2",
|
||||
"NousResearch/Meta-Llama-3.1-8B",
|
||||
"OpenPipe/Qwen3-14B-Instruct",
|
||||
"unsloth/OpenHermes-2.5-Mistral-7B",
|
||||
"OpenBuddy/openbuddy-mistral-22b-v21.1-32k",
|
||||
"FlyDutch/telechat2-7b-Cot",
|
||||
"HuggingFaceH4/mistral-7b-sft-alpha",
|
||||
"PAI/pai-qwen1_5-7b-doc2qa",
|
||||
"PKU-Alignment/ProgressGym-HistLlama3-8B-C018-instruct-v0.2",
|
||||
"Magpie-Align/Llama-3-8B-Tulu-330K",
|
||||
"prithivMLmods/Blaze.1-27B-Preview",
|
||||
"allenai/OLMo-7B-0424-SFT-hf",
|
||||
"mlabonne/Meta-Llama-3-8B",
|
||||
"LLM-Research/layerskip-codellama-7B",
|
||||
"prithivMLmods/Sculptor-Qwen3_Med-Reasoning",
|
||||
"prithivMLmods/SmolLM2-360M-Grpo-r999",
|
||||
"prithivMLmods/SmolLM2-1.7B-Open-Thought",
|
||||
"LLM-Research/open-instruct-llama2-sharegpt-7b",
|
||||
"prithivMLmods/SmolLM2_135M_Grpo_Checkpoint",
|
||||
"OpenBuddy/openbuddy-qwen2.5llamaify-14b-v23.1-200k",
|
||||
"OpenBuddy/openbuddy-zero-3b-v21.2-32k",
|
||||
"YeungNLP/firefly-llama2-7b-chat",
|
||||
"OpenBuddy/openbuddy-zero-14b-v22.3-32k",
|
||||
"OpenBuddy/openbuddy-yi1.5-9b-v21.1-32k",
|
||||
"FuseAI/OpenChat-3.5-7B-Starling-v2.0",
|
||||
"prithivMLmods/Qwen-7B-Distill-Reasoner",
|
||||
"FuseAI/OpenChat-3.5-7B-InternLM-v2.0",
|
||||
"prithivMLmods/Galactic-Qwen-14B-Exp1",
|
||||
"prithivMLmods/Sombrero-R1-14B-Elite13",
|
||||
"prithivMLmods/Sombrero-Opus-14B-Elite13",
|
||||
"TheBloke/Planner-7B-fp16",
|
||||
"AI-ModelScope/speed-synthesis-8b-senior",
|
||||
"PocketDoc/Dans-AdventurousWinds-7b",
|
||||
"MaziyarPanahi/calme-3.2-baguette-3b",
|
||||
"MaziyarPanahi/calme-3.2-instruct-3b",
|
||||
"IntervitensInc/intv_ai_mk11",
|
||||
"prithivMLmods/Muscae-Qwen3-UI-Code-4B",
|
||||
"NousResearch/Llama-2-7b-hf",
|
||||
"prithivMLmods/Pocket-Llama-3.2-3B-Instruct",
|
||||
"OpenBuddy/openbuddy-openllama-13b-v7-fp16",
|
||||
"LLM-Research/WildLlama-7b-assistant-only",
|
||||
"prithivMLmods/Raptor-X2",
|
||||
"OpenBuddy/openbuddy-qwen1.5-14b-v20.1-32k",
|
||||
"NaniDAO/Meta-Llama-3.1-8B-Instruct-ablated-v1",
|
||||
"LLM-Research/OLMo-7B-Instruct-hf",
|
||||
"OpenBuddy/openbuddy-zen-3b-v21.2-32k",
|
||||
"OpenBuddy/openbuddy-qwen1.5-14b-v21.1-32k",
|
||||
"LLM-Research/llama2-7b-WildJailbreak",
|
||||
"JunHowie/MiniCPM4-8B",
|
||||
"OpenBuddy/openbuddy-coder-15b-v10-bf16",
|
||||
"JunHowie/MiniCPM4-0.5B",
|
||||
"OpenDevin/CodeQwen1.5-7B-OpenDevin",
|
||||
"OpenBuddy/openbuddy-mistral-10b-v17.1-32k",
|
||||
"PAI/DistilQwen2.5-DS3-0324-7B",
|
||||
"OpenBuddy/openbuddy-llama2-13b64k-v15",
|
||||
"OpenBuddy/openbuddy-falcon-7b-v5-fp16",
|
||||
"NousResearch/Hermes-2-Theta-Llama-3-8B",
|
||||
"NousResearch/Hermes-2-Pro-Mistral-7B",
|
||||
"OpenBuddy/openbuddy-openllama-7b-v5-fp16",
|
||||
"PAI/DistillQwen-ThoughtY-8B",
|
||||
"BSC-LT/salamandra-2b",
|
||||
"pfnet/nekomata-7b-pfn-qfin-inst-merge",
|
||||
"BSC-LT/experimental7b-rag-instruct",
|
||||
"PKU-Alignment/ProgressGym-HistLlama3-8B-C019-pretrain-v0.2",
|
||||
"OpenBuddy/OpenBuddy-R10528DistillQwen-14B-v27.4-200K",
|
||||
"OpenBuddy/OpenBuddy-R10528DistillQwen-14B-v27.1",
|
||||
"OpenBuddy/SimpleChat-4B-V1",
|
||||
"AI-ModelScope/granite-8b-code-base-4k",
|
||||
"mlabonne/NeuralHermes-2.5-Mistral-7B",
|
||||
"BSC-LT/experimental7b-rag",
|
||||
"prithivMLmods/SmolLM2_135M_Grpo_Gsm8k",
|
||||
"OpenBuddy/openbuddy-zen-3b-v21.1-32k",
|
||||
"PKU-Alignment/ProgressGym-HistLlama3-8B-C015-instruct-v0.2",
|
||||
"prithivMLmods/QwQ-LCoT1-Merged",
|
||||
"mlabonne/NeuralBeagle14-7B",
|
||||
"PKU-Alignment/ProgressGym-HistLlama3-8B-C020-instruct-v0.2",
|
||||
"mlabonne/NeuralMarcoro14-7B",
|
||||
"PKU-Alignment/ProgressGym-HistLlama3-8B-C017-pretrain-v0.2",
|
||||
"FuseAI/OpenChat-3.5-7B-Mixtral-v2.0",
|
||||
"mlabonne/FrankenMonarch-7B",
|
||||
"stabilityai/stablelm-tuned-alpha-3b",
|
||||
"prithivMLmods/Viper-Coder-v1.5-r999",
|
||||
"prithivMLmods/Galactic-Qwen-14B-Exp2",
|
||||
"HuggingFaceTB/cosmo-1b",
|
||||
"LLM-Research/WildLlama-7b-user-assistant",
|
||||
"OpenBuddy/openbuddy-llama2-13b-v8.1-fp16",
|
||||
"prithivMLmods/Regulus-Qwen3-R1-Llama-Distill-1.7B",
|
||||
"LLM-Research/OLMo-7B-0424-SFT-hf",
|
||||
"huihui-ai/MicroThinker-1B-Preview",
|
||||
"OpenBuddy/openbuddy-openllama-3b-v10-bf16",
|
||||
"LLM-Research/digital-socrates-13b",
|
||||
"prithivMLmods/Viper-Coder-v1.6-r999",
|
||||
"prithivMLmods/Magpie-Qwen-DiMind-1.7B",
|
||||
"BAAI/CareBot_Medical_multi-llama3-8b-base",
|
||||
"NousResearch/Meta-Llama-3-8B",
|
||||
"OpenBuddy/openbuddy-llama2-13b-v15p1-64k",
|
||||
"NousResearch/Yarn-Mistral-7b-64k",
|
||||
"PrimeIntellect/DeepSeek-R1-Distill-Qwen-1.5B",
|
||||
"Undi95/Meta-Llama-3-8B-Instruct-hf",
|
||||
"FuseAI/OpenChat-3.5-7B-Mixtral",
|
||||
"prithivMLmods/Viper-Coder-Hybrid-v1.3",
|
||||
"OpenBuddy/openbuddy-qwen2.5llamaify-7b-v23.1-200k",
|
||||
"LLM-Research/mistral-7b",
|
||||
"OpenBuddy/openbuddy-qwen2.5llamaify-14b-v23.3-200k",
|
||||
"prithivMLmods/Viper-Coder-HybridMini-v1.3",
|
||||
"OpenBuddy/openbuddy-atom-13b-v9-bf16",
|
||||
"OpenBuddy/openbuddy-llama3.2-3b-v23.2-131k",
|
||||
"ibm-granite/granite-3b-code-instruct-128k",
|
||||
"PierreZCW/Breeze-7B-Instruct-v1_0",
|
||||
"mlabonne/Marcoro14-7B-slerp",
|
||||
"AI-ModelScope/openbuddy-falcon-7b-v15-fp16",
|
||||
"AI-ModelScope/falcon-7b",
|
||||
"BAAI/AquilaChat2-7B",
|
||||
"PrimeIntellect/Qwen3-0.6B",
|
||||
"OuteAI/Lite-Oute-1-65M-Instruct",
|
||||
"AI-ModelScope/granite-3b-code-instruct-128k",
|
||||
"PrimeIntellect/Qwen3-8B",
|
||||
"OpenBuddy/openbuddy-falcon-7b-v6-bf16",
|
||||
"MaziyarPanahi/calme-3.1-instruct-3b",
|
||||
"LLM-Research/open-instruct-llama2-sharegpt-dpo-7b",
|
||||
"PocketDoc/Dans-PersonalityEngine-v1.0.0-8b",
|
||||
"FuseAI/FuseChat-Llama-3.1-8B-Instruct",
|
||||
"OpenBuddy/openbuddy-mixtral-7bx8-v18.1-32k",
|
||||
"OpenBuddy/openbuddy-deepseekcoder-6b-v16.1-32k",
|
||||
"HuggingFaceTB/SmolLM-1.7B",
|
||||
"LLM-Research/Llama-4-Scout-17B-16E-Instruct",
|
||||
"argilla/distilabeled-Marcoro14-7B-slerp-full",
|
||||
"HuggingFaceTB/SmolLM2-1.7B",
|
||||
"argilla/distilabeled-Marcoro14-7B-slerp",
|
||||
"l3utterfly/open-llama-3b-v2-layla",
|
||||
BIREN_MODELS = [
|
||||
"BigRatz/LOL-AI-2026",
|
||||
"aimeri/spoomplesmaxx-cardmaker-v1",
|
||||
"Alibaba-DT/Logics-STEM-8B-SFT",
|
||||
"Muneebmn123/insurance-voice-qwen25-1_5b",
|
||||
"AnkitBirGurung/NEMO-12B-SFT-Further",
|
||||
"danilarudenko/editorai-mini",
|
||||
"EphemeralYou/Prompt-Refine-MiniCPM5-1B",
|
||||
"mtepe01/mentorx-mistral-7b-automata-merged",
|
||||
"DarkArtsForge/Helix-SCE-12B-jh",
|
||||
"rpant/iolai26-solve",
|
||||
"NithinAI12/NithinX-Omni-LLM-v1",
|
||||
"ConvexAI/Luminex-34B-v0.2",
|
||||
"codellama/CodeLlama-34b-hf",
|
||||
"Lipas007/iol-ai-2026-qwen14b-awq",
|
||||
"D-Z-W/finetuned-teacher",
|
||||
"huan1999/ziya-llama-13b-medical-merged",
|
||||
"codellama/CodeLlama-34b-Python-hf",
|
||||
"ld4ad/gemma-2-9b-dunhuang",
|
||||
"harindhar10/Olmo-7b_1M_Smiles_lora",
|
||||
"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 = [
|
||||
"clear-blue-sky/evolai-reborn-tfm-008",
|
||||
"clear-blue-sky/evolai-reborn-tfm-010",
|
||||
"BigRatz/LOL-AI-2026",
|
||||
"clear-blue-sky/evolai-reborn-tfm-001",
|
||||
"clear-blue-sky/evolai-reborn-tfm-019",
|
||||
"clear-blue-sky/evolai-reborn-tfm-007",
|
||||
"aimeri/spoomplesmaxx-cardmaker-v1",
|
||||
"aipatseer/inst_ft_qwen_0.6b_summ",
|
||||
"clear-blue-sky/evolai-reborn-tfm-003",
|
||||
"clear-blue-sky/evolai-reborn-tfm-004",
|
||||
"Alibaba-DT/Logics-STEM-8B-SFT",
|
||||
"clear-blue-sky/evolai-reborn-tfm-002",
|
||||
"prism-ml/Ternary-Bonsai-4B-unpacked",
|
||||
"Muneebmn123/insurance-voice-qwen25-1_5b",
|
||||
"AnkitBirGurung/NEMO-12B-SFT-Further",
|
||||
"danilarudenko/editorai-mini",
|
||||
"rpant/iolai26-solve",
|
||||
]
|
||||
|
||||
METAX_MODELS = [
|
||||
"Phoenix9781/evolai-tf-model-105",
|
||||
"clear-blue-sky/evolai-reborn-tfm-008",
|
||||
"clear-blue-sky/evolai-reborn-tfm-010",
|
||||
"BigRatz/LOL-AI-2026",
|
||||
"clear-blue-sky/evolai-reborn-tfm-001",
|
||||
"clear-blue-sky/evolai-reborn-tfm-019",
|
||||
"clear-blue-sky/evolai-reborn-tfm-007",
|
||||
"clear-blue-sky/evolai-reborn-tfm-005",
|
||||
"Lin2es/evolai-tfm-03o",
|
||||
"clear-blue-sky/evolai-reborn-tfm-009",
|
||||
"aimeri/spoomplesmaxx-cardmaker-v1",
|
||||
"aipatseer/inst_ft_qwen_0.6b_summ",
|
||||
"reaperdoesntknow/DualMind-TKD-Agentic-1.7B",
|
||||
"clear-blue-sky/evolai-reborn-tfm-011",
|
||||
"clear-blue-sky/evolai-reborn-tfm-003",
|
||||
"clear-blue-sky/evolai-reborn-tfm-004",
|
||||
"clear-blue-sky/evolai-reborn-tfm-002",
|
||||
"amd/ReasonLite-0.6B",
|
||||
"prism-ml/Ternary-Bonsai-4B-unpacked",
|
||||
"Muneebmn123/insurance-voice-qwen25-1_5b",
|
||||
"danilarudenko/editorai-mini",
|
||||
"rpant/iolai26-solve",
|
||||
]
|
||||
|
||||
KUNLUNXIN_MODELS = [
|
||||
"Patriae/patriae-cuban-dialect-model",
|
||||
"Phoenix9781/evolai-tf-model-105",
|
||||
"clear-blue-sky/evolai-reborn-tfm-008",
|
||||
"clear-blue-sky/evolai-reborn-tfm-010",
|
||||
"clear-blue-sky/evolai-reborn-tfm-001",
|
||||
"clear-blue-sky/evolai-reborn-tfm-019",
|
||||
"clear-blue-sky/evolai-reborn-tfm-007",
|
||||
"clear-blue-sky/evolai-reborn-tfm-005",
|
||||
"Lin2es/evolai-tfm-03o",
|
||||
"clear-blue-sky/evolai-reborn-tfm-009",
|
||||
"aimeri/spoomplesmaxx-cardmaker-v1",
|
||||
"aipatseer/inst_ft_qwen_0.6b_summ",
|
||||
"clear-blue-sky/evolai-reborn-tfm-011",
|
||||
"clear-blue-sky/evolai-reborn-tfm-003",
|
||||
"clear-blue-sky/evolai-reborn-tfm-004",
|
||||
"clear-blue-sky/evolai-reborn-tfm-002",
|
||||
"amd/ReasonLite-0.6B",
|
||||
"prism-ml/Ternary-Bonsai-4B-unpacked",
|
||||
"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",
|
||||
"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",
|
||||
"ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1",
|
||||
]
|
||||
|
||||
# 按顺序处理：Biren → Cambricon → MetaX → Kunlunxin
|
||||
GPU_JOBS: List[Tuple[str, List[str]]] = [
|
||||
("Biren_166m", BIREN_MODELS),
|
||||
("Cambricon_mlu-370-x8", CAMBRICON_MODELS),
|
||||
("MetaX_c-500", METAX_MODELS),
|
||||
("Kunlunxin_p-800", KUNLUNXIN_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),
|
||||
"total": TOTAL_MODELS,
|
||||
"submitted": 0,
|
||||
"failed": 0,
|
||||
"per_gpu": {gpu: 0 for gpu, _ in GPU_JOBS},
|
||||
"started_at": None,
|
||||
"finished_at": None,
|
||||
}
|
||||
@@ -417,14 +207,40 @@ def _run_http():
|
||||
print("[http] 已关闭", flush=True)
|
||||
|
||||
# ══════════════════════════════════════════════════════════
|
||||
# 业务逻辑
|
||||
# 各 GPU 的 config_content 模板
|
||||
# ══════════════════════════════════════════════════════════
|
||||
def _submit_task(token: str, model_id: str) -> Tuple[bool, str]:
|
||||
headers = {
|
||||
"Content-Type": "application/json",
|
||||
"Authorization": f"Bearer {token}",
|
||||
}
|
||||
config_content = f"""docker_image: harbor.4pd.io/hardcore-tech/cambricon-mlu370-pytorch:v25.01-torch2.5.0-torchmlu1.24.1-ubuntu22.04-py310
|
||||
def build_config_content(gpu_type: str, model_id: str) -> str:
|
||||
if 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
|
||||
modelhub_options:
|
||||
srcRelativePath: leaderboard/modelHubXC/{model_id}
|
||||
mountPoint: /model
|
||||
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
|
||||
@@ -447,21 +263,81 @@ ref_config:
|
||||
value: 8192
|
||||
command: ["vllm", "serve", "/model", "--port", "80", "--served-model-name", "llm", "--max-model-len", "8192", "--trust-remote-code", "--dtype", "float16"]
|
||||
"""
|
||||
elif 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
|
||||
modelhub_options:
|
||||
srcRelativePath: leaderboard/modelHubXC/{model_id}
|
||||
mountPoint: /model
|
||||
max_model_len: 2048
|
||||
sut_config:
|
||||
gpu_num: 1
|
||||
values:
|
||||
command: ['/opt/conda/bin/vllm', 'serve', '/model', '--port', '20644', '--served-model-name', 'llm', '--max-model-len', '2048', '--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', '2048', '--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
|
||||
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']
|
||||
"""
|
||||
else:
|
||||
raise ValueError(f"未知的 GPU_TYPE: {gpu_type}")
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
# ══════════════════════════════════════════════════════════
|
||||
# 业务逻辑
|
||||
# ══════════════════════════════════════════════════════════
|
||||
def _submit_task(token: str, gpu_type: str, model_id: str) -> Tuple[bool, str]:
|
||||
headers = {
|
||||
"Content-Type": "application/json",
|
||||
"Authorization": f"Bearer {token}",
|
||||
}
|
||||
config_content = build_config_content(gpu_type, model_id)
|
||||
|
||||
payload = {
|
||||
"contestApiToken": CONTEST_API_TOKEN,
|
||||
"contributors": CONTRIBUTORS,
|
||||
"gpuTypes": [GPU_TYPE],
|
||||
"gpuTypes": [gpu_type],
|
||||
"taskType": TASK_TYPE,
|
||||
"modelId": model_id,
|
||||
"framework": "vllm",
|
||||
"strategyId": STRATEGY_ID, # 平台要求
|
||||
"submissionConfig": [{
|
||||
"config": config_content,
|
||||
"gpuType": GPU_TYPE,
|
||||
"gpuType": gpu_type,
|
||||
"taskType": TASK_TYPE,
|
||||
}],
|
||||
}
|
||||
print(f"[payload] {json.dumps(payload, indent=2, ensure_ascii=False)}", flush=True)
|
||||
print(f"[payload] gpu={gpu_type} model={model_id}", flush=True)
|
||||
try:
|
||||
resp = requests.post(
|
||||
BASE_URL + SUBMIT_ENDPOINT,
|
||||
@@ -472,13 +348,13 @@ ref_config:
|
||||
result = resp.json()
|
||||
if result.get("code") == 0:
|
||||
task_id = result.get("data", {}).get("id", "")
|
||||
print(f"[worker] OK {model_id} task_id={task_id}", flush=True)
|
||||
print(f"[worker] OK {model_id} (GPU={gpu_type}) task_id={task_id}", flush=True)
|
||||
return True, task_id
|
||||
else:
|
||||
print(f"[worker] FAIL {model_id}: {result.get('message')}", flush=True)
|
||||
print(f"[worker] FAIL {model_id} (GPU={gpu_type}): {result.get('message')}", flush=True)
|
||||
return False, ""
|
||||
except Exception as e:
|
||||
print(f"[worker] ERROR {model_id}: {e}", flush=True)
|
||||
print(f"[worker] ERROR {model_id} (GPU={gpu_type}): {e}", flush=True)
|
||||
return False, ""
|
||||
|
||||
|
||||
@@ -486,32 +362,39 @@ def _run_worker():
|
||||
_state["started_at"] = datetime.utcnow().isoformat()
|
||||
_state["phase"] = "submitting"
|
||||
|
||||
successful: List[Tuple[str, str]] = []
|
||||
successful: List[Tuple[str, str, str]] = []
|
||||
token = AUTH_TOKEN
|
||||
print("[worker] 使用预设 Token，跳过登录", flush=True)
|
||||
|
||||
for model_id in ALL_MODEL_IDS:
|
||||
for gpu_type, model_list in GPU_JOBS:
|
||||
if _shutdown.is_set():
|
||||
break
|
||||
ok, task_id = _submit_task(token, model_id)
|
||||
if ok:
|
||||
_state["submitted"] += 1
|
||||
successful.append((task_id, 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
|
||||
ok, task_id = _submit_task(token, gpu_type, model_id)
|
||||
if ok:
|
||||
_state["submitted"] += 1
|
||||
_state["per_gpu"][gpu_type] += 1
|
||||
successful.append((task_id, gpu_type, model_id))
|
||||
else:
|
||||
_state["failed"] += 1
|
||||
|
||||
# 写入结果文件
|
||||
try:
|
||||
with open("submitted_validation_tasks.txt", "w", encoding="utf-8") as f:
|
||||
for tid, mid in successful:
|
||||
f.write(f"{tid}\t{mid}\n")
|
||||
for tid, gpu, mid in successful:
|
||||
f.write(f"{tid}\t{gpu}\t{mid}\n")
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
_state["finished_at"] = datetime.utcnow().isoformat()
|
||||
_state["phase"] = "done"
|
||||
print(
|
||||
f"[worker] 完成 submitted={_state['submitted']} failed={_state['failed']}",
|
||||
f"[worker] 完成 submitted={_state['submitted']} failed={_state['failed']} "
|
||||
f"total={_state['total']} per_gpu={_state['per_gpu']}",
|
||||
flush=True,
|
||||
)
|
||||
# 提交完成后继续保持进程存活，等待平台停止
|
||||
@@ -544,4 +427,4 @@ def main():
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
main()
|
||||
|
||||
Reference in New Issue
Block a user