init: GGUF adapt-task batch submit strategy (hygon, zkl)
This commit is contained in:
zhouyuanxi
348
main.py
Normal file
348
main.py
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@@ -0,0 +1,348 @@
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"""
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xc_validation_strategy_vllm_gguf_hygon_zkl — 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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GGUF 模型适配任务（hygon_k100-ai，llamacpp 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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部署框架与 xc_validation_strategy 一致。
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"""
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import json
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import os
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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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import requests
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# ══════════════════════════════════════════════════════════
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# 配置
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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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# zhouyuanxi 账号的 xc-Token（该接口使用 xc-Token 认证，无需登录）
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USER_ACCOUNT = "i-zhouyuanxi@4paradigm.com"
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XC_TOKEN = "62b9b487eff2488fb9f1da0b963f0b93"
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GPU_TYPE = "hygon_k100-ai"
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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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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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"mradermacher/kyara-lite-sft-1M-GGUF",
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"mradermacher/text-arco-GGUF",
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"mradermacher/Mistral-7B-v0.3-sft-ultrachat-GGUF",
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"mradermacher/Saba2-Preview-GGUF",
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"mradermacher/Anemoi-4B-GGUF",
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"mradermacher/exaone-3.5-2.4b-instruct-dacon-llm-GGUF",
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"mradermacher/light-3B-beta-GGUF",
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"mradermacher/bellman-mistral-7b-instruct-v0.3-GGUF",
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"mradermacher/Kosmos-EVAA-Franken-Immersive-v40-8B-GGUF",
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"mradermacher/Qwen2.5-Interpreter-GGUF",
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"mradermacher/Llama-3.1-8B-Gemma-2-9B-mix-GGUF",
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"mradermacher/Llama-3.1-8B-sft-ultrachat-GGUF",
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"mradermacher/t5-base-english-japanese-GGUF",
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"mradermacher/tourist-GGUF",
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"mradermacher/t5-base-japanese-question-generation-GGUF",
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"mradermacher/t5-qiita-title-generation-GGUF",
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"mradermacher/Not_Even_My_Final_Form-8B-Model_Stock-GGUF",
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"mradermacher/Morphing-8B-Model_Stock-GGUF",
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"mradermacher/Llamaverse-3.1-8B-Instruct-GGUF",
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"mradermacher/Gemma-2-9B-sft-ultrachat-GGUF",
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"mradermacher/Italy-10B-GGUF",
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"mradermacher/Qwen2.5-7B-sft-ultrachat-safeRLHF-GGUF",
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"mradermacher/Qwen2-7B-sft-ultrachat-safeRLHF-GGUF",
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"mradermacher/qwen-2.5-0.5b-unlabeled-pile-GGUF",
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"mradermacher/HQwen-3B-00-fp16-GGUF",
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"mradermacher/AI_Pet_code-GGUF",
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"mradermacher/codellama-7b-betterv-params-c2v-chisel-GGUF",
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"mradermacher/LongRAG-Qwen2.5-7B-Instruct-GGUF",
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"mradermacher/granite-3.0-3b-a800m-base-GGUF",
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"mradermacher/granite-3.0-8b-base-GGUF",
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"mradermacher/moxin-llm-7b-GGUF",
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"mradermacher/llama-3.2-3b-merged-base-3K-updated-GGUF",
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"mradermacher/II-Tulu-8B-SFT-GGUF",
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"mradermacher/HebQwen-json-2025-GGUF",
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"mradermacher/WiNGPT-Babel-GGUF",
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"mradermacher/oh-dcft-v3.1-llama-3.1-405b-v2dummytesting-GGUF",
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"mradermacher/greesychat-turbo-GGUF",
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"mradermacher/MFANN-abliterated-phi2-merge-unretrained-GGUF",
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"mradermacher/oh-dcft-v3.1-llama-3.1-405b-qwen-v2dummytesting-GGUF",
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"mradermacher/Llama-3.1-8B-sft-ultrachat-safeRLHF-GGUF",
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"mradermacher/Falcon-3B-8k-data-new-classes-GGUF",
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"mradermacher/Lunar-4B-GGUF",
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"mradermacher/Zelus-8B-Model_Stock-GGUF",
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"mradermacher/mpn_mistral7bv3_sft-GGUF",
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"mradermacher/Qwen2-7B-sft-ultrachat-GGUF",
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"mradermacher/Llama-3.1-8B-Instruct-GSM8k-GGUF",
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"mradermacher/Mistral-7B-v0.3-sft-ultrachat-safeRLHF-GGUF",
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"mradermacher/QwENDEAVR-VL-2B-GGUF",
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"mradermacher/EXAONE-3.5-7.8B-it-DACON-LLM-GGUF",
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"mradermacher/Gemma-2-9B-sft-ultrachat-safeRLHF-GGUF",
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"mradermacher/Eunoia-GwQ-Gemma-9B-GGUF",
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"mradermacher/periquito-3B-GGUF",
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"mradermacher/T3qm7xNeuralsirkrishna_Strangemerges_30Ogno-GGUF",
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"mradermacher/Chalice1-GGUF",
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"mradermacher/Yamshadowexperiment28M70.5-0.45-0.64-0.12-0.94-0.72-7B-GGUF",
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"mradermacher/M7Yamshadowexperiment28_Strangemerges_32Yamshadow-GGUF",
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"mradermacher/Experiment26Yam_Strangemerges_32Ogno-GGUF",
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"mradermacher/Experiment28T3q_NeuralsirkrishnaExperiment26-GGUF",
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"mradermacher/YamshadowStrangemerges_32_Strangemerges_32Experiment28-GGUF",
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"mradermacher/Experiment28M7_Experiment28Neuralsirkrishna-GGUF",
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"mradermacher/YamshadowStrangemerges_32_Neuralsirkrishnaexperiment26Experiment24-GGUF",
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"mradermacher/YamshadowInex12_Experiment29Pastiche-GGUF",
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"mradermacher/tsukasa-7b-qlora-GGUF",
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"mradermacher/Qwen2.5-3B-Model-Stock-v2-GGUF",
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"mradermacher/LongRAG_Ministral-8B-Instruct-GGUF",
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"mradermacher/LongRAG_Llama3.1-8B-Instruct-GGUF",
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"mradermacher/inter-play-sim-assistant-test-GGUF",
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"mradermacher/Llama-3.2-1B-magnitude-0.1-GGUF",
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"mradermacher/Howdy-8B-LINEAR-GGUF",
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"mradermacher/Qwen2.5-3B-Model-Stock-GGUF",
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"mradermacher/Ice0.51-16.01-RP-GGUF",
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"mradermacher/Qwen2.5-3B-Model-Stock-v3-GGUF",
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"mradermacher/SalvadAI-GGUF",
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"mradermacher/Yi-6B-Chat-Llama-3.3-70B-Instruct-honest_lying-GGUF",
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"mradermacher/Funny-Chatbot-Llama-3.1-8B-Instruct-GGUF",
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"mradermacher/Aira-2-355M-GGUF",
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"mradermacher/Qmerft-GGUF",
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"mradermacher/Qwen2.5-1.5B-Instruct-DPO-bad-boy-GGUF",
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"mradermacher/NxMobileLM-1.5B-SFT-GGUF",
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"mradermacher/Llama-3-ELYZA-JP-8B-normal-chosen-GGUF",
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"mradermacher/HebQwen-json-2025-meta-GGUF",
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"mradermacher/JapMed-GGUF",
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"mradermacher/What_A_Thrill-8B-Model_Stock-GGUF",
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"mradermacher/phi-3-clinical-GGUF",
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"mradermacher/ORPO-Llama-SQL-8B-Spider-GGUF",
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"mradermacher/Gemma-Radiation-RP-9B-lorablated-GGUF",
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"mradermacher/D.A.T.A.v1-GGUF",
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"mradermacher/gemmarpp-GGUF",
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"mradermacher/Meta-Llama-3-8B-wanda-0.1-GGUF",
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"mradermacher/LwQ-10B-Instruct-GGUF",
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"mradermacher/occiglot-7b-de-en-instruct-dpo1-GGUF",
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"mradermacher/MCQ-qkvo-2-GGUF",
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"mradermacher/YamshadowStrangemerges_32_Inex12Experiment28-GGUF",
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"mradermacher/Bahasa-4b-GGUF",
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"mradermacher/MCQ-head-16-GGUF",
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"mradermacher/Experiment26Yam_Ognoexperiment27Multi_verse_model-GGUF",
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"mradermacher/An4-7Bv2.4-GGUF",
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"mradermacher/YamshadowStrangemerges_32_YamExperiment28-GGUF",
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"mradermacher/bitmap-M7-alpaca-70m-GGUF",
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"mradermacher/UpshotLlama-3-8B-GGUF",
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"mradermacher/ChimeraLlama-3-8B-GGUF",
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"mradermacher/Yamshadowexperiment28M70.8-0.85-0.86-0.36-0.42-0.16-7B-GGUF",
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"mradermacher/microcoderfim-1B-GGUF",
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"mradermacher/Medusa_OpenHermes-2.5-Mistral7B-DPO-GGUF",
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"mradermacher/YamshadowInex12_Experiment24Ognoexperiment27-GGUF",
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"mradermacher/gemma-2b-datascience-instruct-v4.5-GGUF",
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"mradermacher/Josiefied-Qwen2-1.5B-Instruct-abliterated-GGUF",
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"mradermacher/zoyllm-7b-slimorca-GGUF",
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"mradermacher/M7Yamshadowexperiment28_T3qm7xExperiment28-GGUF",
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"mradermacher/Aria-7b-128k-v4-GGUF",
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"mradermacher/T3qm7xNeuralsirkrishna_CalmeInex12-GGUF",
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"mradermacher/T3qm7xNeuralsirkrishna_YamStrangemerges_32-GGUF",
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"mradermacher/YamshadowInex12_T3qm7xExperiment28-GGUF",
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"mradermacher/Model_Stock_Mixv0.1-7B-GGUF",
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"mradermacher/StrangeMerges_49-7B-dare_ties-GGUF",
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"mradermacher/galland-mistral-7b-instruct-v0.2-v1-GGUF",
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"mradermacher/Magiq-Translator-0-GGUF",
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"mradermacher/occiglot-7b-de-en-instruct-GGUF",
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"mradermacher/M7Yamshadowexperiment28_YamShadow-GGUF",
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"mradermacher/StrangeMerges_17-7B-dare_ties-GGUF",
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"mradermacher/occiglot-7b-es-en-instruct-hf-GGUF",
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"mradermacher/ko-gemma-1.1-2b-GGUF",
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"mradermacher/M7Yamshadowexperiment28_Percival_01Yamshadow-GGUF",
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"mradermacher/TinyAlpaca-1.1B-GGUF",
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"mradermacher/MeliodasT3q_M7Alloyingotneoy-GGUF",
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"mradermacher/Vistral-7B-Chat-function-calling-GGUF",
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]
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# ══════════════════════════════════════════════════════════
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# 全局状态（供 /status 展示）
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# ══════════════════════════════════════════════════════════
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_state = {
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"strategy_id": STRATEGY_ID,
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"phase": "starting", # starting | submitting | done | error
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"total": len(ALL_MODEL_IDS),
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"submitted": 0,
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"failed": 0,
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"started_at": None,
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"finished_at": None,
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}
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_shutdown = threading.Event()
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# ══════════════════════════════════════════════════════════
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# HTTP 服务
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# ══════════════════════════════════════════════════════════
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class Handler(BaseHTTPRequestHandler):
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def do_GET(self):
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if self.path == "/health":
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self._json({"status": "ok"})
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elif self.path == "/status":
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self._json(_state)
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else:
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self._json({"error": "not found"}, 404)
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def _json(self, body: dict, code: int = 200):
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payload = json.dumps(body, default=str).encode()
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self.send_response(code)
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self.send_header("Content-Type", "application/json")
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self.send_header("Content-Length", str(len(payload)))
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self.end_headers()
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self.wfile.write(payload)
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def log_message(self, fmt, *args):
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print(f"[http] {self.address_string()} {fmt % args}", flush=True)
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def _run_http():
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server = ThreadingHTTPServer((HTTP_HOST, HTTP_PORT), Handler)
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server.timeout = 1
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print(f"[http] 监听 {HTTP_HOST}:{HTTP_PORT}", flush=True)
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while not _shutdown.is_set():
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server.handle_request()
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server.server_close()
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print("[http] 已关闭", flush=True)
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# ══════════════════════════════════════════════════════════
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# 工具函数：生成模型文件名（一律 .f16.gguf）
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# ══════════════════════════════════════════════════════════
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def get_model_filename(model_id: str) -> str:
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base_name = model_id.split("/")[-1]
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if '_-_' in base_name:
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base_name = base_name.split('_-_')[-1]
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if base_name.lower().endswith("-gguf"):
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base_name = base_name[:-5]
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base_name = base_name + ".f16.gguf"
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return base_name
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# ══════════════════════════════════════════════════════════
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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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model_filename = get_model_filename(model_id)
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config_content = f"""
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docker_image: git.modelhub.org.cn:9443/enginex-hygon/hygon-llama.cpp:b7516
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nv_docker_image: harbor-contest.4pd.io/luxinlong02/llama-cpp:b7003-cuda-full-12.3
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framework: llamacpp
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storage: gpfs
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api: completion
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temperature: 0
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repetition_penalty: 1.1
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top_p: 0.9
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max_model_len: 4096
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sut_config:
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gpu_num: 1
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values:
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command: ['/app/llama-server','--model', '/model/{model_filename}', '--alias', 'llm', '--threads', '20','--n-gpu-layers', '999', '--prio', '3', '--min_p', '0.01', '--ctx-size', '4096', '--host', '0.0.0.0', '--port', '8000', '--jinja', '--flash-attn', 'off']
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ref_config:
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gpu_num: 1
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values:
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command: ['/workspace/llama.cpp/build/bin/llama-server','--model', '/model/{model_filename}', '--alias', 'llm', '--threads', '20', '--n-gpu-layers', '999', '--prio', '3', '--min_p', '0.01', '--ctx-size', '4096', '--host', '0.0.0.0', '--port', '8000', '--jinja', '--flash-attn', 'off']
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"""
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payload = {
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"configParams": config_content,
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"framework": "llamacpp",
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"modelAddress": f"https://huggingface.co/{model_id}",
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"targetGpu": GPU_TYPE,
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"taskType": TASK_TYPE,
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"strategyId": STRATEGY_ID, # 平台要求；若接口不支持该字段会被忽略
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}
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print(f"📤 提交任务: {model_id} ({model_filename})", flush=True)
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try:
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resp = requests.post(
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BASE_URL + ADD_TASK_ENDPOINT,
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headers=HEADERS,
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json=payload,
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timeout=30,
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)
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print(f"status: {resp.status_code}", flush=True)
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result = resp.json()
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print(result, flush=True)
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if result.get("code") == 0:
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print(f"✅ 提交成功: {model_id}", flush=True)
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return True
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else:
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print(f"❌ 提交失败: {result.get('message')}", flush=True)
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return False
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except Exception as e:
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print(f"💥 异常 ({model_id}): {e}", flush=True)
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return False
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def _run_worker():
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_state["started_at"] = datetime.utcnow().isoformat()
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_state["phase"] = "submitting"
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successful: List[str] = []
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for model_id in ALL_MODEL_IDS:
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if _shutdown.is_set():
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break
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if submit_task(model_id):
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_state["submitted"] += 1
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successful.append(model_id)
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else:
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_state["failed"] += 1
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try:
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with open("submitted_adapt_tasks.txt", "w", encoding="utf-8") as f:
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for mid in successful:
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f.write(f"{mid}\n")
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except Exception:
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pass
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_state["finished_at"] = datetime.utcnow().isoformat()
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_state["phase"] = "done"
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print(
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f"[worker] 完成 submitted={_state['submitted']} failed={_state['failed']} total={_state['total']}",
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flush=True,
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)
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# 提交完成后继续保持进程存活，等待平台停止
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||||
# ══════════════════════════════════════════════════════════
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# 入口
|
||||
# ══════════════════════════════════════════════════════════
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def _handle_signal(signum, _frame):
|
||||
print(f"[main] 收到信号 {signum}，正在关闭...", flush=True)
|
||||
_shutdown.set()
|
||||
|
||||
|
||||
def main():
|
||||
signal.signal(signal.SIGTERM, _handle_signal)
|
||||
signal.signal(signal.SIGINT, _handle_signal)
|
||||
|
||||
http_thread = threading.Thread(target=_run_http, daemon=False)
|
||||
http_thread.start()
|
||||
|
||||
worker_thread = threading.Thread(target=_run_worker, daemon=True)
|
||||
worker_thread.start()
|
||||
|
||||
_shutdown.wait()
|
||||
print("[main] 等待 HTTP 服务关闭...", flush=True)
|
||||
http_thread.join(timeout=5)
|
||||
print("[main] 退出", flush=True)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
Reference in New Issue
Block a user