2750 lines
138 KiB
Python
2750 lines
138 KiB
Python
"""
|
||
xc_validation_strategy_gguf — 主入口
|
||
|
||
GGUF 模型下载 + 验证任务提交流水线（部署框架与 xc_validation_strategy 一致）。
|
||
|
||
启动后运行流水线：批量创建 GGUF 模型下载任务（最大并发 8），
|
||
每个模型下载成功后立即提交 hygon / bi150 两个验证任务；
|
||
同时暴露 /health（K8s 探活）和 /status（运行状态）。
|
||
"""
|
||
|
||
import json
|
||
import os
|
||
import re
|
||
import signal
|
||
import threading
|
||
from datetime import datetime
|
||
from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
|
||
from typing import Set
|
||
|
||
import requests
|
||
|
||
# ══════════════════════════════════════════════════════════
|
||
# 配置
|
||
# ══════════════════════════════════════════════════════════
|
||
BASE_URL = os.environ.get("BASE_URL", "https://modelhub.org.cn")
|
||
LOGIN_ENDPOINT = "/adminApi/user/login"
|
||
CREATE_DOWNLOAD_TASK_ENDPOINT = "/adminApi/async/task/model-download-task"
|
||
SUBMIT_TEST_TASK_ENDPOINT = "/adminApi/async/task/create-contest-task"
|
||
ADD_TASK_ENDPOINT = "/api/adapt/task/add" # 机制B（xc-Token 认证），hygon 验证任务改走这个
|
||
|
||
# 登录账号（下载任务仍用这个账号，不受下面 hygon 提交账号切换的影响）：
|
||
# 启动时优先用账号密码换取新 token（流水线运行时间长，预设 token 可能过期）
|
||
USER_ACCOUNT = "zhoushasha@4paradigm.com"
|
||
USER_PASSWORD = "ganshenme0"
|
||
|
||
# 通过 curl -X POST https://modelhub.org.cn/adminApi/user/login 获取后填入（登录失败时的回退）
|
||
AUTH_TOKEN = "eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJ1c2VyQWNjb3VudCI6Inpob3VzaGFzaGEiLCJpZCI6MTQsInVzZXJSb2xlIjoibGVhZGVyYm9hcmQiLCJleHAiOjE3ODQ1NDc1NDYsImlhdCI6MTc4Mzk0Mjc0Nn0.ZcOqcrfI22LPi4mGMnt164nZGhi61ZxtJGYsoO7fZdM"
|
||
|
||
# hygon_k100-ai 验证任务改走机制B（xc-Token），提交账号 = 账号A，不再用 zhoushasha 提交
|
||
# TODO: 填入账号A的真实 xc-Token 后再部署
|
||
HYGON_SUBMIT_ACCOUNT = "l11223344"
|
||
HYGON_XC_TOKEN = "e1c0db2959e5411f9342c8550b03f6e9"
|
||
|
||
CONTEST_API_TOKEN = "ef1ef82f3c9efee413d602345fbe224d"
|
||
HF_TOKEN = "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"
|
||
CONTRIBUTORS = "zhoushasha"
|
||
TASK_TYPE = "text-generation"
|
||
STRATEGY_ID = os.environ.get("STRATEGY_ID", "") # 平台自动注入，无需修改
|
||
|
||
MAX_CONCURRENT_DOWNLOADS = 8 # 同时下载的模型数上限
|
||
CHECK_INTERVAL_SECONDS = 10 # 下载状态轮询间隔（秒）
|
||
|
||
HTTP_HOST = "0.0.0.0"
|
||
HTTP_PORT = 8080
|
||
|
||
# ══════════════════════════════════════════════════════════
|
||
# 模型列表
|
||
# ══════════════════════════════════════════════════════════
|
||
ALL_MODEL_IDS = [
|
||
|
||
|
||
|
||
# "mradermacher/Llama-3.2-3B-Della-GGUF",
|
||
# "mradermacher/Aspire_V2_ALT-8B-Model_Stock-GGUF",
|
||
# "mradermacher/Aspire_V2_ALT_ROW-8B-Model_Stock-GGUF",
|
||
# "mradermacher/OTG1.6-Instruct-sft-dpo-7B-rc-2025-01-20-GGUF",
|
||
# "mradermacher/llama-3.2-3b-it-Ehealthcare-ChatBot-v3-GGUF",
|
||
# "mradermacher/nsfw_plz_gguf_me-GGUF",
|
||
# "mradermacher/mistral-7b-sci-arc_reasoning_v2-GGUF",
|
||
# "mradermacher/Jaja-small-GGUF",
|
||
# "mradermacher/euclid-3B-GGUF",
|
||
# "mradermacher/Llama-3.2-3B-Blend-GGUF",
|
||
# "mradermacher/Llama-3.1-8B-KG-Extraction-v2-GGUF",
|
||
# "mradermacher/Minerva-8b-GGUF",
|
||
# "mradermacher/RTLCoder-Deepseek_OB25-GGUF",
|
||
# "mradermacher/RTLCoder-Deepseek_OB50-GGUF",
|
||
# "mradermacher/MedGPT_Finetuned-GGUF",
|
||
# "mradermacher/mistral-irl-iter2-iterative-dpo-GGUF",
|
||
# "mradermacher/Llama-3.2-Taiwan-3B-Instruct-GGUF",
|
||
# "mradermacher/llama3-8b-breadcrumbs-ties-v4-GGUF",
|
||
# "mradermacher/llama3-8b-della-v2-GGUF",
|
||
# "mradermacher/hermes-GGUF",
|
||
# "mradermacher/Orpo-oman-ar-stablelm-2-chat-GGUF",
|
||
# "mradermacher/cocoruta-8b-llama3.1-GGUF",
|
||
# "mradermacher/FalconSlerp6-7B-GGUF",
|
||
# "mradermacher/mistral-7b-arc_reasoning-GGUF",
|
||
# "mradermacher/Llama3.1-8B-relu-stage-1-dolma-v1_7-50B-4096-GGUF",
|
||
# "mradermacher/mistral-7b-CoT-GGUF",
|
||
# "mradermacher/llama3-8b-dare-ties-v3-GGUF",
|
||
# "mradermacher/hopefully_humanish-rp-nsfw-test-v1-GGUF",
|
||
# "mradermacher/mistral-7b-lima_v2-GGUF",
|
||
# "mradermacher/Mistral-AFT-Off-Policy-GGUF",
|
||
# "mradermacher/Mistral-AFT-On-Policy-GGUF",
|
||
# "mradermacher/Llama-AFT-Off-Policy-GGUF",
|
||
# "mradermacher/Llama-AFT-On-Policy-GGUF",
|
||
# "mradermacher/OrangeJ-8B-Model_Stock-GGUF",
|
||
# "mradermacher/Llama3-8b-alpaca-GGUF",
|
||
# "mradermacher/hitchens-3-1-GGUF",
|
||
# "mradermacher/Yearn-8B-Model_Stock-GGUF",
|
||
# "mradermacher/DavidAU-Dark-Planet-of-Davids-8B-64k-GGUF",
|
||
# "mradermacher/Qwen-2.5-3B-Tiny-Story-GGUF",
|
||
# "mradermacher/CodeLlama-7b-Instruct-hf-SAP-RAP-GGUF",
|
||
# "mradermacher/R1-ImpishMind-8B-GGUF",
|
||
# "mradermacher/llama3-8b-slerp-v2-GGUF",
|
||
# "mradermacher/layer-skip-vanill-3.2-1b-GGUF",
|
||
# "mradermacher/AlexeyRyzhikov-Mistral-7b-TXT_to_JSON-V5.2-GGUF",
|
||
# "mradermacher/SJT-2.5B-GGUF",
|
||
# "mradermacher/liujx-78k-GGUF",
|
||
# "mradermacher/Vangelus-Secundus-GGUF",
|
||
# "mradermacher/bloomz-7b1-p3-GGUF",
|
||
# "mradermacher/Llama-3.1-8B-price-GGUF",
|
||
# "mradermacher/asm2asm-deepseek-1.3b-500k-mac-x86-O0-arm-2-GGUF",
|
||
# "mradermacher/SJT-2.3B-GGUF",
|
||
# "mradermacher/Llama-3-ELYZA-JP-8B-ojousama-chosen-after-SFTboth-GGUF",
|
||
# "mradermacher/LLaMA-3-8B-SFR-SFT-R-GGUF",
|
||
# "mradermacher/ELN-Llama-1B-base-GGUF",
|
||
# "mradermacher/Qwen0.5b-RagSemanticChunker-GGUF",
|
||
# "mradermacher/Llama-3-ELYZA-JP-8B-normal-chosen-after-SFTboth-GGUF",
|
||
# "mradermacher/LLaMA-3-8B-SFR-Iterative-DPO-Concise-R-GGUF",
|
||
# "mradermacher/Qwen2.7-7B-Instruct-QwQ-PRIME-1k-GGUF",
|
||
# "mradermacher/flora-v1-GGUF",
|
||
# "mradermacher/exaone-3.5-2.4b-instruct-dacon-llm2-GGUF",
|
||
# "mradermacher/RPMash-8B-Model_Stock-GGUF",
|
||
# "mradermacher/qwen2.5-0.5B_ichikara_4802-GGUF",
|
||
# "mradermacher/payroll-teacher-model-2-GGUF",
|
||
# "mradermacher/Phi-3.5-mini-instruct-3x-v1-GGUF",
|
||
# "mradermacher/ImmyV2.7-GGUF",
|
||
# "mradermacher/Qwen2.5-3B-Renoia-GGUF",
|
||
# "mradermacher/ImmyV2.5-GGUF",
|
||
# "mradermacher/mistral-7b-CoT_v2-GGUF",
|
||
# "mradermacher/gpt2_individuated_zero_chaos-GGUF",
|
||
# "mradermacher/ImmyV2.6-GGUF",
|
||
# "mradermacher/gpt2_trickster-GGUF",
|
||
# "mradermacher/Phi-3.5-mini-instruct-2x-v1-GGUF",
|
||
# "mradermacher/llama-3.1-8b-dacon-GGUF",
|
||
# "mradermacher/Llama3.1-8B-relu-stage-2-dolma-v1_7-50B-4096-GGUF",
|
||
# "mradermacher/QwQ-LCoT1-Merged-GGUF",
|
||
# "mradermacher/Magdala-9B-GGUF",
|
||
# "mradermacher/fireblossom-32K-7B-GGUF",
|
||
# "mradermacher/RPMash_V2-8B-Model_Stock-GGUF",
|
||
# "mradermacher/Qwen2-7B-FullBirdnTiger-SmallDB-GGUF",
|
||
# "mradermacher/Llama-8B-Distill-CoT-GGUF",
|
||
# "mradermacher/Vangelus-Poetic-9B-GGUF",
|
||
# "mradermacher/Unbound-Llama3-8B-GGUF",
|
||
# "mradermacher/DeepSolana-GPT2-GGUF",
|
||
# "mradermacher/layerskip-llama2-7b-topv1-v1-GGUF",
|
||
# "mradermacher/QwQ-R1-Distill-7B-CoT-GGUF",
|
||
# "mradermacher/DeepSeek-R1-MFANN-TIES-unretrained-7b-GGUF",
|
||
# "mradermacher/mergekit-model_stock-zengbax-GGUF",
|
||
# "mradermacher/Llama-2-7b-sft-SPIN-Llama-2-70b-Instruct-rm-GGUF",
|
||
# "mradermacher/ZEUS-8B-V24-GGUF",
|
||
# "mradermacher/YamshadowInex12_ShadowExperiment24-GGUF",
|
||
# "mradermacher/SJT-4B-v1.1-GGUF",
|
||
# "mradermacher/Qwen1.5-0.4B-Chat-GGUF",
|
||
# "mradermacher/CogitoDistil-GGUF",
|
||
# "mradermacher/MeliodasPercival_01_AlloyingotneoyInex12-GGUF",
|
||
# "mradermacher/Experiment26Neuralsirkrishna_Experiment29Experiment24-GGUF",
|
||
# "mradermacher/Llama-3.1-SISaAI-Ko-merge-8B-Instruct-GGUF",
|
||
# "mradermacher/asm2asm-deepseek-1.3b-500k-mac-x86-O3-arm-GGUF",
|
||
# "mradermacher/Soaring-3B-V2-GGUF",
|
||
# "mradermacher/SJT-2.4B-GGUF",
|
||
# "mradermacher/Qwen2-7B-sft-SPIN-gpt4o-rm-GGUF",
|
||
# "mradermacher/Qwen2.5-DeepSeek-R1-MFANN-Slerp-7b-GGUF",
|
||
# "mradermacher/sara_finetuned-GGUF",
|
||
# "mradermacher/mistral-7b-v0.1-social_iqa-GGUF",
|
||
# "mradermacher/Qwen2-7B-sft-SPIN-Qwen2.5-72B-Instruct-rm-GGUF",
|
||
# "mradermacher/LlamaUz-3.1-8b-ct-GGUF",
|
||
# "mradermacher/qwen2vl-model-2b-instruct-spatial-information-v1-GGUF",
|
||
# "mradermacher/qwen2vl-model-2b-instruct-spatial-information-v2-GGUF",
|
||
# "mradermacher/Aspire_V4-8B-Model_Stock-GGUF",
|
||
# "mradermacher/kyutech5-jp-GGUF",
|
||
# "mradermacher/Aspire_V4_ALT-8B-Model_Stock-GGUF",
|
||
# "mradermacher/SRole_3181-GGUF",
|
||
# "mradermacher/Bespoke-Stratos-17k-GGUF",
|
||
# "mradermacher/SineAgentRL-vog-GGUF",
|
||
# "mradermacher/LLAMA3-ReasoningCOT-GGUF",
|
||
# "mradermacher/Intelligence-R1-Distill-7B-GGUF",
|
||
# "mradermacher/Bitnet-M7-resized-GGUF",
|
||
# "mradermacher/NeuralsirkrishnaShadow_PasticheInex12-GGUF",
|
||
# "mradermacher/SineAgentRL-v0.2-GGUF",
|
||
# "mradermacher/LonAI_20250122-GGUF",
|
||
# "mradermacher/Experiment28M7_Experiment29Experiment24-GGUF",
|
||
# "mradermacher/Mergerix-7b-v0.1-GGUF",
|
||
# "mradermacher/Llama-3-8B-Instruct-v0.5-GGUF",
|
||
# "mradermacher/Experiment26Yam_Multi_verse_modelM7-GGUF",
|
||
# "mradermacher/Experiment28T3q_OgnoShadow-GGUF",
|
||
# "mradermacher/Llama-2-7b-chat-hf_fictional_chinese_v2-GGUF",
|
||
# "mradermacher/M7T3qm7xp_T3qm7xpStrangemerges_32-GGUF",
|
||
# "mradermacher/Mistral-7B-v0.1-sft-SPIN-gpt4o-rm-GGUF",
|
||
# "mradermacher/MeliodasPercival_01_Experiment28Experiment29-GGUF",
|
||
# "mradermacher/Llama-2-7b-sft-SPIN-gpt4o-rm-GGUF",
|
||
# "mradermacher/Experiment28M7_Strangemerges_32Ogno-GGUF",
|
||
# "mradermacher/M7Yamshadowexperiment28_Strangemerges_32Strangemerges_30-GGUF",
|
||
# "mradermacher/YamshadowStrangemerges_32_Inex12Yam-GGUF",
|
||
# "mradermacher/Commonsense-QA-Mistral-7B-GGUF",
|
||
# "mradermacher/NeuralsirkrishnaShadow_NeuralExperiment26-GGUF",
|
||
# "mradermacher/llama2-7b-dpo-full-wo-healthsearch_qa-ep3-GGUF",
|
||
# "mradermacher/Meta-Llama-3-8B-Instruct_fictional_arc_French_v2-GGUF",
|
||
# "mradermacher/M7Yamshadowexperiment28_Experiment26Strangemerges_30-GGUF",
|
||
# "mradermacher/CalmexperimentT3q-7B-GGUF",
|
||
# "mradermacher/granite-8b-rpgle-GGUF",
|
||
# "mradermacher/llama3-8b-tofutune-GGUF",
|
||
# "mradermacher/Bart-finetuned-QA-GGUF",
|
||
# "mradermacher/TinyLlama-1.1B-Chat-v1.0-mt-GGUF",
|
||
# "mradermacher/h2o-dpo-merge2-GGUF",
|
||
# "mradermacher/MKLLM-7B-Instruct-GGUF",
|
||
# "mradermacher/T3Q-LLM3-Llama3-sft1.0-dpo1.0-GGUF",
|
||
# "mradermacher/numfalm-3b-GGUF",
|
||
# "mradermacher/NeuralsirkrishnaShadow_Experiment26Experiment24-GGUF",
|
||
# "mradermacher/M7Yamshadowexperiment28_Strangemerges_32T3qm7xp-GGUF",
|
||
# "mradermacher/SparrowMind-8B-GGUF",
|
||
# "mradermacher/SmolLM-360M-TigerMath-Evaluated-SFT-GGUF",
|
||
# "mradermacher/BreakingBadLlama-3-8B-GGUF",
|
||
# "mradermacher/YamshadowInex12_Strangemerges_32Alloyingotneoy-GGUF",
|
||
# "mradermacher/flammen17-py-DPO-v1-7B-GGUF",
|
||
# "mradermacher/MetaAligner-HH-RLHF-1.1B-GGUF",
|
||
# "mradermacher/Experiment26Yam_YamYam-GGUF",
|
||
# "mradermacher/SmartQwen1.5-1.8B-orpo-v1-GGUF",
|
||
# "mradermacher/TinyLlama-1.1B-chat-ties-v1-GGUF",
|
||
# "mradermacher/al-baka-llama3-8b-experimental-GGUF",
|
||
# "mradermacher/Mistral-7B-Instruct-v0.3-pruned-GGUF",
|
||
# "mradermacher/Apollo2-3.8B-GGUF",
|
||
# "mradermacher/Llama-3-DARE-v1-8B-GGUF",
|
||
# "mradermacher/Experiment28T3q_Experiment27Inex12-GGUF",
|
||
# "mradermacher/coder-2b-v0.1-hfrl-GGUF",
|
||
# "mradermacher/myalee-v3-L31-8B-GGUF",
|
||
# "mradermacher/TinyMoE-DopeykarasuMoe-xdareties2-GGUF",
|
||
# "mradermacher/llama-3-bophades-v1-8B-GGUF",
|
||
# "mradermacher/NeuralMonarchCoderPearlBeagle-GGUF",
|
||
# "mradermacher/An4-7Bv2.3-GGUF",
|
||
# "mradermacher/bruphin-lambda-GGUF",
|
||
# "mradermacher/Qwen-2.5-7B-R1-Stock-GGUF",
|
||
# "mradermacher/Llama-3.1-8B-sft-SPIN-gpt4o-rm-GGUF",
|
||
# "mradermacher/LunarPass-1-GGUF",
|
||
# "mradermacher/Llama-3.1-8B-sft-SPIN-Llama-3.1-70B-Instruct-rm-GGUF",
|
||
# "mradermacher/game-play-point25-50-GGUF",
|
||
# "mradermacher/woollie-7b-GGUF",
|
||
# "mradermacher/Bespoke-Stratos-17k-v2-GGUF",
|
||
# "mradermacher/DeepSeek-R1-Distill-Llama-UK-Legislation-8B-GGUF",
|
||
# "mradermacher/Taiwan-tinyllama-v1.1-base-GGUF",
|
||
# "mradermacher/M7Yamshadowexperiment28_YamExperiment26-GGUF",
|
||
# "mradermacher/latin_english_translation_model-GGUF",
|
||
# "mradermacher/K2S3-Mistral-7b-v1.3-GGUF",
|
||
# "mradermacher/zephyr-7b-beta-ExPO-GGUF",
|
||
# "mradermacher/mine-3B-GGUF",
|
||
# "mradermacher/Ice0.64-24.01-RP-GGUF",
|
||
# "mradermacher/Mistral-7B-v0.1-sft-SPIN-Mistral-8x7B-Instruct-v0.1-rm-GGUF",
|
||
# "mradermacher/Mistral-7B-v0.3-sft-SPIN-gpt4o-rm-GGUF",
|
||
# "mradermacher/Oolel-Small-v0.1-GGUF",
|
||
# "mradermacher/Deepseek-qwen-modelstock-7B-GGUF",
|
||
# "mradermacher/ZEUS-8B-V25-GGUF",
|
||
# "mradermacher/MathSageFR-DeepSeek-R1-Distill-Qwen-1.5B-GGUF",
|
||
# "mradermacher/LunarPass-2-GGUF",
|
||
# "mradermacher/SJT-2.4B-Alpha-GGUF",
|
||
# "mradermacher/Ice0.62.1-24.01-RP-GGUF",
|
||
# "mradermacher/Trendyol-Turkcell-7b-mixture-GGUF",
|
||
# "mradermacher/DeepSeek-R1-Distill-Qwen-MFANN-Slerp-7b-GGUF",
|
||
# "mradermacher/Artifact_1-GGUF",
|
||
# "mradermacher/gemma-2-9b-HangulFixer-GGUF",
|
||
# "mradermacher/mistral-7b-v0.3-instruct-norobots-GGUF",
|
||
# "mradermacher/Mistral7B-ASQA-GGUF",
|
||
# "mradermacher/EEVE-Ko-8B-Instruct-hr_250124_ver1-GGUF",
|
||
# "mradermacher/salamandra-2B-instruct-ultrachat-GGUF",
|
||
# "mradermacher/salamandra-2B-instruct-smoltalk-GGUF",
|
||
# "mradermacher/SJTpass-1-GGUF",
|
||
# "mradermacher/QwenPass-4-GGUF",
|
||
# "mradermacher/Llama-3.2-3B-Instruct-MedicalQA-GGUF",
|
||
# "mradermacher/SJTPass-2-GGUF",
|
||
# "mradermacher/Qwen2.5-7B-R1-Bespoke-Stock-GGUF",
|
||
# "mradermacher/QwenTies-3-GGUF",
|
||
# "mradermacher/Ice0.64.1-24.01-RP-GGUF",
|
||
# "mradermacher/Qwen2.5-7B-R1-Bespoke-Task-GGUF",
|
||
# "mradermacher/albert-spp-8b-GGUF",
|
||
# "mradermacher/QwenLinear-1-GGUF",
|
||
# "mradermacher/Llama-3.2-3B-Math-Oct-GGUF",
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
#### 8-14
|
||
"mradermacher/Trendyol-LLM-7b-chat-v1.0-GGUF",
|
||
"mradermacher/tamil-large-language-model-7b-v1.0-GGUF",
|
||
"mradermacher/BrurryDog-7b-v0.1-GGUF",
|
||
"mradermacher/olaf-v2-mini-GGUF",
|
||
"mradermacher/MrRoboto-ProLong-8b-v4i-GGUF",
|
||
"mradermacher/tongyi-model-v1.0-1b-GGUF",
|
||
"mradermacher/tongyi-model-v1.1-1b-enth-GGUF",
|
||
"mradermacher/TwinLlama-3.2-1B-GGUF",
|
||
"mradermacher/L3-ColdBrew-OldSpice-GGUF",
|
||
"mradermacher/SphinX-GGUF",
|
||
"mradermacher/PasticheInex12-7B-GGUF",
|
||
"mradermacher/MT-Merge4-BMUGI-gemma-2-9B-GGUF",
|
||
"mradermacher/MT-Merge4-GI-gemma-2-9B-GGUF",
|
||
"mradermacher/Samantha-tinyllama-1.1b-v2-modelnotloranotquantized-GGUF",
|
||
"mradermacher/ShadowCalme-7B-GGUF",
|
||
"mradermacher/MT-Merge4-MA-gemma-2-MT3g4MTg4-9B-GGUF",
|
||
"mradermacher/MT-Merge4-MM-gemma-2-MT5g4MT3g4-9B-GGUF",
|
||
"mradermacher/MT-Merge4-gemma-2-9B-GGUF",
|
||
"mradermacher/MT-Merge4-MMMA-gemma-2-9B-GGUF",
|
||
"mradermacher/MT-Merge4-MU-gemma-2-MT3g4MT1g4-9B-GGUF",
|
||
"mradermacher/WestFrankenMoev2-9B-GGUF",
|
||
"mradermacher/Inex12Experiment28-7B-GGUF",
|
||
"mradermacher/vicuna-7b-v1.5-GGUF",
|
||
"mradermacher/Thespis-Krangled-7b-GGUF",
|
||
"mradermacher/MT-Merge4-BB-gemma-2-MT5g4MTg4-9B-GGUF",
|
||
"mradermacher/Franken-Mistral-Maid-TWK-Slerp-GGUF",
|
||
"mradermacher/DarkHermes-2.5-Mistral-7B-v2-GGUF",
|
||
"mradermacher/MT-Merge4-BMU-gemma-2-9B-GGUF",
|
||
"mradermacher/FIxtral-GGUF",
|
||
"mradermacher/CS-Calme-Instruct-7b-GGUF",
|
||
"mradermacher/MT-Merge4-GP-gemma-2-MTg4MT4g4-9B-GGUF",
|
||
"mradermacher/gemma-2b-data-std-v0-GGUF",
|
||
"mradermacher/Gemma-COT-GGUF",
|
||
"mradermacher/MT-Merge4-IF-gemma-2-MT1g4MT2g4-9B-GGUF",
|
||
"mradermacher/Liph.42-slerp-GGUF",
|
||
"mradermacher/Gemma-Selfdiscover-GGUF",
|
||
"mradermacher/Calme-Instruct-Extended-GGUF",
|
||
"mradermacher/GenStructDolphin-7B-Slerp-GGUF",
|
||
"mradermacher/Neuralsirkrishnaexperiment26Experiment24-7B-GGUF",
|
||
"mradermacher/WeniGPT-2.8.1-Zephyr-7B-zephyr-prompt-DPO-binarized-merged-GGUF",
|
||
"mradermacher/gemma-mod-GGUF",
|
||
"mradermacher/qwen1.5-0.5B-hansoldeco-v1-GGUF",
|
||
"mradermacher/MiaAffogato-Indo-Mistral-7b-GGUF",
|
||
"mradermacher/qwen1.5-0.5B-v2-GGUF",
|
||
"mradermacher/sciphi-micro-GGUF",
|
||
"mradermacher/tinyllama-colorist-v2-GGUF",
|
||
"mradermacher/delta-4b-instruct-v0.1-GGUF",
|
||
"mradermacher/gemma-codefeedback-GGUF",
|
||
"mradermacher/RA_Reasoner-GGUF",
|
||
"mradermacher/merlin1.1-GGUF",
|
||
"mradermacher/Upshot-NeuralHermes-2.5-Mistral-7B-slerp-GGUF",
|
||
"mradermacher/gemma-orca-GGUF",
|
||
"mradermacher/blossom-v5-9b-GGUF",
|
||
"mradermacher/Gemma-Generic-GGUF",
|
||
"mradermacher/NeuralKybalion-7B-slerp-v3-GGUF",
|
||
"mradermacher/Maverick-Math-7B-GGUF",
|
||
"mradermacher/NeuralsirkrishnaExperiment26-7B-GGUF",
|
||
"mradermacher/AMchat-GGUF",
|
||
"mradermacher/Hyperion-3.0-Mistral-7B-alpha-GGUF",
|
||
"mradermacher/Multi-Verse-RP-7B-GGUF",
|
||
"mradermacher/Neural-Dark-Waifu-v0.2-GGUF",
|
||
"mradermacher/Starling_Monarch_Westlake_Garten-7B-v0.1-GGUF",
|
||
"mradermacher/Infinitely-Laydiculous-9B-GGUF",
|
||
"mradermacher/mistral-orpo-capybara-7k-GGUF",
|
||
"mradermacher/OpenCerebrum-1.0-7b-DPO-GGUF",
|
||
"mradermacher/Mika-Lelantacles-7b-Longtext-GGUF",
|
||
"mradermacher/Hippy-AAI-7B-GGUF",
|
||
"mradermacher/InfinityNexus_9B-GGUF",
|
||
"mradermacher/mistral-7b-v0.1-layla-v4-chatml-GGUF",
|
||
"mradermacher/Mistral-Plus-7B-GGUF",
|
||
"mradermacher/dreamflower-GGUF",
|
||
"mradermacher/Nusantara-7b-Indo-Chat-GGUF",
|
||
"mradermacher/NeuralKybalion-7B-slerp-GGUF",
|
||
"mradermacher/ShadowYam-7B-GGUF",
|
||
"mradermacher/Strangemerges_32Yam-7B-GGUF",
|
||
"mradermacher/JiuZhou-Instruct-v0.1-GGUF",
|
||
"mradermacher/Nusantara-2.7b-Indo-Chat-GGUF",
|
||
"mradermacher/OpenHathi-7B-Hi-v0.1-Base-SSF-samvaad-hi-v1-chat-format-GGUF",
|
||
"mradermacher/ToxicityMistral-GGUF",
|
||
"mradermacher/Vikhr-7b-0.1-GGUF",
|
||
"mradermacher/llama-2-7b-enhanced-GGUF",
|
||
"mradermacher/gemma-urdu-gemma2-Instruct-Finetune-urdu-clean-GGUF",
|
||
"mradermacher/Nusantara-2.7b-Indo-Chat-v0.2-GGUF",
|
||
"mradermacher/merlin1.2-GGUF",
|
||
"mradermacher/merlin1.3-GGUF",
|
||
"mradermacher/solar-beam-slerp-v0.1-GGUF",
|
||
"mradermacher/tinyllama-colorist-lora-v2-GGUF",
|
||
"mradermacher/tinyllama-medical-chat-v1.4-GGUF",
|
||
"mradermacher/BuRPInfinity_9B-GGUF",
|
||
"mradermacher/NeuralTopBench-7B-ties-GGUF",
|
||
"mradermacher/Neural4gsm8k-GGUF",
|
||
"mradermacher/Infinitely-Laydiculous-7B-GGUF",
|
||
"mradermacher/Trascendental-Bot-7B-GGUF",
|
||
"mradermacher/phi-2-layla-v1-chatml-GGUF",
|
||
"mradermacher/strange_3236-7B-GGUF",
|
||
"mradermacher/DarkHermes-2.5-Mistral-7B-GGUF",
|
||
"mradermacher/Kool-Aid_7B-GGUF",
|
||
"mradermacher/SuperMente-7B-GGUF",
|
||
"mradermacher/NeuralKybalion-7B-slerp-v2-GGUF",
|
||
"mradermacher/MisGemma-7B-GGUF",
|
||
"mradermacher/SuperMente-7B-v3-GGUF",
|
||
"mradermacher/leo-hessianai-7b-finetune-v6-3e-GGUF",
|
||
"mradermacher/InfiniteBuRP_7B-GGUF",
|
||
"mradermacher/OpenChat-3.5-7B-Solar-GGUF",
|
||
"mradermacher/Qra-1b-GGUF",
|
||
"mradermacher/Qra-7b-GGUF",
|
||
"mradermacher/Nusantara-4b-Indo-Chat-GGUF",
|
||
"mradermacher/Thespis-Balanced-7b-v1-GGUF",
|
||
"mradermacher/Experiment28Experiment26-7B-GGUF",
|
||
"mradermacher/CalmeInex12-7B-GGUF",
|
||
"mradermacher/Lelanta-lake-7b-GGUF",
|
||
"mradermacher/Inex12Yamshadow-7B-GGUF",
|
||
"mradermacher/mistral-7b-zephyr-sft-GGUF",
|
||
"mradermacher/flammen9-mistral-7B-GGUF",
|
||
"mradermacher/NeuralExperiment26-7B-GGUF",
|
||
"mradermacher/flammen9X-mistral-7B-GGUF",
|
||
"mradermacher/Cloudversia-Thor-7B-GGUF",
|
||
"mradermacher/supermario_v4-GGUF",
|
||
"mradermacher/XuanYuan-6B-GGUF",
|
||
"mradermacher/NeuralsirkrishnaInex12-7B-GGUF",
|
||
"mradermacher/Swahili-Mistral-Instruct-v2-GGUF",
|
||
"mradermacher/Prima-LelantaclesV7-experimentalv2-7b-GGUF",
|
||
"mradermacher/HarmBench-Mistral-7b-val-cls-GGUF",
|
||
"mradermacher/merlin1.4-GGUF",
|
||
"mradermacher/merlin1.5-GGUF",
|
||
"mradermacher/Franken-Mistral-Merlinite-Maid-GGUF",
|
||
"mradermacher/mergekit-della_linear-sxmadrj-GGUF",
|
||
"mradermacher/FuseChat-Qwen-2.5-7B-Instruct-GGUF",
|
||
"mradermacher/NeuralsirkrishnaExperiment28-7B-GGUF",
|
||
"mradermacher/Paradigm_DPO-GGUF",
|
||
"mradermacher/Strangemerges_32Alloyingotneoy-7B-GGUF",
|
||
"mradermacher/FuseQwQen-7B-GGUF",
|
||
"mradermacher/Falcon3-7B-Instruct-abliterated-GGUF",
|
||
"mradermacher/Article-Llama-3.2-1B-GGUF",
|
||
"mradermacher/Falcon3-10B-Instruct-abliterated-GGUF",
|
||
"mradermacher/AshishGPT-GGUF",
|
||
"mradermacher/FnFLlama-3.1-8B1-GGUF",
|
||
"mradermacher/Meta-Llama-3.1-8B-Instruct-TIES-GGUF",
|
||
"mradermacher/Llama-2-7b-sft-SPIN-gpt4o-GGUF",
|
||
"mradermacher/Mistral-7B-v0.1-sft-SPIN-Mistral-8x7B-Instruct-v0.1-GGUF",
|
||
"mradermacher/TaxoLumimaid-v0.2-8B-GGUF",
|
||
"mradermacher/Mistral-7B-v0.1-sft-SPIN-gpt4o-GGUF",
|
||
"mradermacher/QwenSlerp-7B-GGUF",
|
||
"mradermacher/creativestorywriter-GGUF",
|
||
"mradermacher/therapistAi-GGUF",
|
||
"mradermacher/MT-Gen5-BMA-gemma-2-9B-GGUF",
|
||
"mradermacher/MT-Gen5-GP-gemma-2-S5E-9B-GGUF",
|
||
"mradermacher/Cake-GGUF",
|
||
"mradermacher/MT-Gen5-IG-gemma-2-9B-GGUF",
|
||
"mradermacher/Qwen2.5-0.5B-Instruct-ThreeFourths-GGUF",
|
||
"mradermacher/MT-Gen5-IF-gemma-2-MT5g4MT4g2-9B-GGUF",
|
||
"mradermacher/MT-Gen5-MM-gemma-2-MT4g2MT5g4-9B-GGUF",
|
||
"mradermacher/MT-Gen5-MA-gemma-2-S5MT3g4-9B-GGUF",
|
||
"mradermacher/MT-Gen5-MUMM-gemma-2-9B-GGUF",
|
||
"mradermacher/tongyi-model-v1.2-1b-enth-GGUF",
|
||
"mradermacher/MT-Gen5-MU-gemma-2-MT3g4S5-9B-GGUF",
|
||
"mradermacher/tongyi-model-v1.3-1b-GGUF",
|
||
"mradermacher/MT-Gen5-MUMMIG-gemma-2-9B-GGUF",
|
||
"mradermacher/MT-Gen5-gemma-2-9B-GGUF",
|
||
"mradermacher/L3-ColdBrew-Euclidean-GGUF",
|
||
"mradermacher/AlloyingotneoyExperiment28-7B-GGUF",
|
||
"mradermacher/SystemHermes-2-7B-GGUF",
|
||
"mradermacher/NeuralMaths-7B-slerp-GGUF",
|
||
"mradermacher/T3qM7-7B-GGUF",
|
||
"mradermacher/MasherAI-2B-v0.1-GGUF",
|
||
"mradermacher/ChickaQ-Large-GGUF",
|
||
"mradermacher/Beast-Mixed-GGUF",
|
||
"mradermacher/Gujju-Llama-Instruct-v0.1-GGUF",
|
||
"mradermacher/Beast_Mixed_2_pro-GGUF",
|
||
"mradermacher/AlloyIngotNeoX-GGUF",
|
||
"mradermacher/Persephone_7B-GGUF",
|
||
"mradermacher/KuTrix-7b-GGUF",
|
||
"mradermacher/SystemHermes-7B-GGUF",
|
||
"mradermacher/SystemConfigHermes-7B-GGUF",
|
||
"mradermacher/open-llama-3b-v2-chat-GGUF",
|
||
"mradermacher/phi-2-orange-v2-GGUF",
|
||
"mradermacher/Phi-Stoma-GGUF",
|
||
"mradermacher/StrangeMerges_40-7B-dare_ties-GGUF",
|
||
"mradermacher/Swahili-Instruct-V2-3-GGUF",
|
||
"mradermacher/T3QM7-GGUF",
|
||
"mradermacher/WestKunai-Hermes-7b-GGUF",
|
||
"mradermacher/WestKunai-XS-7b-GGUF",
|
||
"mradermacher/leo-hessianai-7b-finetune-x5-GGUF",
|
||
"mradermacher/leo-hessianai-7b-finetune-x6-GGUF",
|
||
"mradermacher/leo-hessianai-7b-finetune-x7-GGUF",
|
||
"mradermacher/llama-2-7b-guanaco-dolly-mini-GGUF",
|
||
"mradermacher/open_llama_3b_v2_chat_dolly-GGUF",
|
||
"mradermacher/mistral-orpo-beta-NeuralBeagle14-7B-dare-ties-GGUF",
|
||
"mradermacher/seallm-7b-v2-chat-th-GGUF",
|
||
"mradermacher/tiny-llama-spin-iter2-GGUF",
|
||
"mradermacher/StrangeMerges_30-7B-slerp-GGUF",
|
||
"mradermacher/StrangeMerges_41-7B-dare_ties-GGUF",
|
||
"mradermacher/Wiedervereinigung-7b-dpo-laser-GGUF",
|
||
"mradermacher/alpaca-gpt4-GGUF",
|
||
"mradermacher/deepseek-coder-6.7b-pandas-GGUF",
|
||
"mradermacher/Phi-Delthanar-GGUF",
|
||
"mradermacher/ds-trinity-7b-v1-GGUF",
|
||
"mradermacher/flintlock_3B_v0.1-GGUF",
|
||
"mradermacher/flintlock_3B_v0.1a-GGUF",
|
||
"mradermacher/gemma-Kannada-Instruct-GGUF",
|
||
"mradermacher/gemma-Kannada-Instruct-v01-GGUF",
|
||
"mradermacher/TheMayonnaise-GGUF",
|
||
"mradermacher/hermeo-7b-laser-GGUF",
|
||
"mradermacher/Eris_Prime-V2-7B-GGUF",
|
||
"mradermacher/Elly_7B-GGUF",
|
||
"mradermacher/Saul-Instruct-Extended-GGUF",
|
||
"mradermacher/winter-garden-7b-gamma-GGUF",
|
||
"mradermacher/Mayonnaise-4in1-03-GGUF",
|
||
"mradermacher/SriRamanatestM-GGUF",
|
||
"mradermacher/open-llama-3b-v2-instruct-GGUF",
|
||
"mradermacher/Mayonnaise-4in1-01-GGUF",
|
||
"mradermacher/Franken-MistressMaid-7B-v2-GGUF",
|
||
"mradermacher/Strangemerges_32Yamshadow-7B-GGUF",
|
||
"mradermacher/llama-2-7b-Sri-Lankan-Law-GGUF",
|
||
"mradermacher/Commencis-LLM-GGUF",
|
||
"mradermacher/gemma-coder-GGUF",
|
||
"mradermacher/ShadowYamshadow-7B-GGUF",
|
||
"mradermacher/Einstein-4d-Marcoro14-nddmpk-KrishnaHercules-7b-slerp-GGUF",
|
||
"mradermacher/Mystical-dare7-7b-GGUF",
|
||
"mradermacher/NeuralCeptrix-7B-SLERP-GGUF",
|
||
"mradermacher/NeuralCeptrix-7B-SLERPv3-GGUF",
|
||
"mradermacher/PearlMath-lafted-7b-slerp-GGUF",
|
||
"mradermacher/Genisis-GGUF",
|
||
"mradermacher/PearlMathMstralPro-7b-slerp-GGUF",
|
||
"mradermacher/Einstein-4d-Marcoro14-nddmpk-KrishnaHercules-7b-slerp-fix1-GGUF",
|
||
"mradermacher/Greek_to_English_Translation-GGUF",
|
||
"mradermacher/Swallow-MS-7b-v0.1-ChatVector-GGUF",
|
||
"mradermacher/MistralDpoPearl-7b-slerp-GGUF",
|
||
"mradermacher/ChatMusician-Base-GGUF",
|
||
"mradermacher/Flora_7B-laser-GGUF",
|
||
"mradermacher/EvoLLM-JP-A-v1-7B-GGUF",
|
||
"mradermacher/EvoLLM-JP-v1-7B-GGUF",
|
||
"mradermacher/kukulemon-7B-GGUF",
|
||
"mradermacher/TinyJ.O.S.I.E.-3x1.1B-32k-Base-GGUF",
|
||
"mradermacher/Mystical-dare5-7b-GGUF",
|
||
"mradermacher/Patent-Instruct-LLaMA-Pro-GGUF",
|
||
"mradermacher/K2S3-Mistral-7b-v1.0-GGUF",
|
||
"mradermacher/NeuralCeptrix-7B-SLERPv2-GGUF",
|
||
"mradermacher/RasGulla1-7b-GGUF",
|
||
"mradermacher/MasherAI-7B-v4-GGUF",
|
||
"mradermacher/KnowCoder-7B-IE-GGUF",
|
||
"mradermacher/KnowCoder-7B-base-GGUF",
|
||
"mradermacher/ALMA-7B-R-remerged-GGUF",
|
||
"mradermacher/Beast-Mixed_3_pro-GGUF",
|
||
"mradermacher/Ministral-4b-instruct-GGUF",
|
||
"mradermacher/GOOD-4x1b-GGUF",
|
||
"mradermacher/Medictron-0.5B-Chat-GGUF",
|
||
"mradermacher/Pearl-7B-0211-ties-GGUF",
|
||
"mradermacher/NeuralsirkrishnaM7-7B-GGUF",
|
||
"mradermacher/Patent-Instruct-Pro-GGUF",
|
||
"mradermacher/TheSpice-7b-v0.1.1-GGUF",
|
||
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||
"mradermacher/MT2-MMMAGMU-gemma-2-9B-GGUF",
|
||
"mradermacher/MT5-MAMU-gemma-2-9B-GGUF",
|
||
"mradermacher/MT4-IMU-gemma-2-9B-GGUF",
|
||
"mradermacher/MT2-Max-Merge_02012025163610-GP-gemma-2-MTg4MTM5-9B-GGUF",
|
||
"mradermacher/MT2-MM-gemma-2-Rv0.4RAt0.25v0.1-9B-GGUF",
|
||
"mradermacher/MT4-GP-gemma-2-RIv0.1RGDv0.1-9B-GGUF",
|
||
"mradermacher/MT4-IF-gemma-2-RIv0.1RPMHv0.1-9B-GGUF",
|
||
"mradermacher/MT3-BMMGMU-gemma-2-9B-GGUF",
|
||
"mradermacher/MT3-gemma-2-9B-GGUF",
|
||
"mradermacher/MT1-GB-gemma-2-9B-GGUF",
|
||
"mradermacher/MT1-BB-gemma-2-RIv0.1RAt0.25v0.1-9B-GGUF",
|
||
"mradermacher/MT2-IF-gemma-2-RIv0.1RAt0.25v0.1-9B-GGUF",
|
||
"mradermacher/MT3-MM-gemma-2-RIv0.1RGDv0.1-9B-GGUF",
|
||
"mradermacher/MT-MMA-gemma-2-9B-GGUF",
|
||
"mradermacher/MT4-MU-gemma-2-Rv0.4RGDv0.1-9B-GGUF",
|
||
"mradermacher/MT5-IF-gemma-2-RIv0.1RAv0.1-9B-GGUF",
|
||
"mradermacher/MT3-IMA-gemma-2-9B-GGUF",
|
||
"mradermacher/MT3-MA-gemma-2-RAt0.25v0.1Rv0.3-9B-GGUF",
|
||
"mradermacher/MT5-GP-gemma-2-RIv0.1RAv0.1-9B-GGUF",
|
||
"mradermacher/MT2-MU-gemma-2-Rv0.4Rv0.2-9B-GGUF",
|
||
"mradermacher/MT1-IF-gemma-2-RAt0.25v0.1GD-9B-GGUF",
|
||
"mradermacher/niistorm-GGUF",
|
||
"mradermacher/hypotenuse-8B-Model_Stock-GGUF",
|
||
"mradermacher/Magnolia-v4-Gemma2-8k-9B-GGUF",
|
||
"mradermacher/ZEUS-8B-V21-GGUF",
|
||
"mradermacher/Kani-3B-GGUF",
|
||
"mradermacher/MiniThinky-v2-1B-Llama-3.2-GGUF",
|
||
"mradermacher/POC_MultiLng-V5-GGUF",
|
||
"mradermacher/Llama-3.2-1B-FC-v0.1-GGUF",
|
||
"mradermacher/Potalia-GGUF",
|
||
"mradermacher/MT-MA-gemma-2-PMHIF-9B-GGUF",
|
||
"mradermacher/Sibatikgal-GGUF",
|
||
"mradermacher/GreenVision-GGUF",
|
||
"mradermacher/llama-3-8B-Psychotherapist.v1-GGUF",
|
||
"mradermacher/llama-3-8B-Psychotherapist.v2-GGUF",
|
||
"mradermacher/CollectiveLM-Falcon-3-7B-GGUF",
|
||
"mradermacher/MT5-MM-gemma-2-Rv0.4Av4c-9B-GGUF",
|
||
"mradermacher/MT1-gemma-2-9B-GGUF",
|
||
"mradermacher/MT4-IMUGMA-gemma-2-9B-GGUF",
|
||
"mradermacher/MT-BM-gemma-2-9B-GGUF",
|
||
"mradermacher/MT3-GP-gemma-2-RPMHv0.1RAt0.25v0.1-9B-GGUF",
|
||
"mradermacher/MT2-Max-Merge_02012025163610-IF-gemma-2-MTMMTM2MU-9B-GGUF",
|
||
|
||
|
||
|
||
|
||
]
|
||
|
||
|
||
# 去重（保持原有顺序）
|
||
_seen = set()
|
||
_deduplicated = []
|
||
for _mid in ALL_MODEL_IDS:
|
||
if _mid not in _seen:
|
||
_deduplicated.append(_mid)
|
||
_seen.add(_mid)
|
||
ALL_MODEL_IDS = _deduplicated
|
||
print(f"[INFO] 去重后模型数量: {len(ALL_MODEL_IDS)}", flush=True)
|
||
|
||
HEADERS = {"Content-Type": "application/json"}
|
||
|
||
# ══════════════════════════════════════════════════════════
|
||
# 全局状态（供 /status 展示）
|
||
# ══════════════════════════════════════════════════════════
|
||
_state = {
|
||
"strategy_id": STRATEGY_ID,
|
||
"phase": "starting", # starting | running | done | error
|
||
"total": len(ALL_MODEL_IDS),
|
||
"downloading": [], # 当前正在下载的模型
|
||
"download_success": 0,
|
||
"download_failed": 0,
|
||
"submitted": 0, # 成功提交的验证任务数（hygon + bi150）
|
||
"submit_failed": 0,
|
||
"started_at": None,
|
||
"finished_at": None,
|
||
}
|
||
_shutdown = threading.Event()
|
||
|
||
# ══════════════════════════════════════════════════════════
|
||
# HTTP 服务
|
||
# ══════════════════════════════════════════════════════════
|
||
class Handler(BaseHTTPRequestHandler):
|
||
def do_GET(self):
|
||
if self.path == "/health":
|
||
self._json({"status": "ok"})
|
||
elif self.path == "/status":
|
||
self._json(_state)
|
||
else:
|
||
self._json({"error": "not found"}, 404)
|
||
|
||
def _json(self, body: dict, code: int = 200):
|
||
payload = json.dumps(body, default=str).encode()
|
||
self.send_response(code)
|
||
self.send_header("Content-Type", "application/json")
|
||
self.send_header("Content-Length", str(len(payload)))
|
||
self.end_headers()
|
||
self.wfile.write(payload)
|
||
|
||
def log_message(self, fmt, *args):
|
||
print(f"[http] {self.address_string()} {fmt % args}", flush=True)
|
||
|
||
|
||
def _run_http():
|
||
server = ThreadingHTTPServer((HTTP_HOST, HTTP_PORT), Handler)
|
||
server.timeout = 1
|
||
print(f"[http] 监听 {HTTP_HOST}:{HTTP_PORT}", flush=True)
|
||
while not _shutdown.is_set():
|
||
server.handle_request()
|
||
server.server_close()
|
||
print("[http] 已关闭", flush=True)
|
||
|
||
# ══════════════════════════════════════════════════════════
|
||
# 工具函数：生成模型文件名
|
||
# ══════════════════════════════════════════════════════════
|
||
def get_model_filename(model_id: str) -> str:
|
||
"""
|
||
从 model_id 生成标准 GGUF 模型文件名。
|
||
|
||
规则：
|
||
- 移除组织名（/ 前部分）
|
||
- 处理 '_-_' 分割（保留原有逻辑）
|
||
- 移除末尾 '-GGUF'（不区分大小写）
|
||
- 若移除后以 -i1, -i2, ..., -i99 结尾：
|
||
→ 替换为 .i1, .i2, ... 并添加 '-Q4_0.gguf'
|
||
否则：
|
||
→ 直接添加 '.f16.gguf'
|
||
|
||
示例：
|
||
'mradermacher/Qwen3-8B-makisu-v2.0.1-i1-GGUF'
|
||
→ 'Qwen3-8B-makisu-v2.0.1.i1-Q4_0.gguf'
|
||
|
||
'QuantFactory/Apollo2-9B-GGUF'
|
||
→ 'Apollo2-9B.f16.gguf'
|
||
"""
|
||
# 1. 提取模型名部分（/ 后）
|
||
base_name = model_id.split("/")[-1]
|
||
|
||
# 2. 处理 '_-_' 分割
|
||
if '_-_' in base_name:
|
||
base_name = base_name.split('_-_')[-1]
|
||
|
||
# 3. 移除末尾的 -GGUF（不区分大小写）
|
||
if base_name.lower().endswith("-gguf"):
|
||
base_name = base_name[:-5]
|
||
|
||
# 4. 检查是否以 -i<数字> 结尾（支持 i1～i99 等）
|
||
match = re.search(r'-i(\d+)$', base_name)
|
||
if match:
|
||
number = match.group(1)
|
||
base_name = base_name[:match.start()] + f".i{number}-Q4_0.gguf"
|
||
else:
|
||
base_name = base_name + ".f16.gguf"
|
||
|
||
return base_name
|
||
|
||
# ══════════════════════════════════════════════════════════
|
||
# 登录获取 token（失败时回退到预设 AUTH_TOKEN）
|
||
# ══════════════════════════════════════════════════════════
|
||
def login() -> str:
|
||
payload = {"userAccount": USER_ACCOUNT, "userPassword": USER_PASSWORD}
|
||
print("[login] 正在登录...", flush=True)
|
||
try:
|
||
resp = requests.post(BASE_URL + LOGIN_ENDPOINT, headers=HEADERS, json=payload, timeout=15)
|
||
data = resp.json()
|
||
if resp.status_code == 200 and data.get("code") == 0:
|
||
print("[login] 登录成功", flush=True)
|
||
return data["data"]["token"]
|
||
print(f"[login] 登录失败: {data.get('message')}，回退使用预设 Token", flush=True)
|
||
except Exception as e:
|
||
print(f"[login] 登录异常: {e}，回退使用预设 Token", flush=True)
|
||
return AUTH_TOKEN
|
||
|
||
# ══════════════════════════════════════════════════════════
|
||
# 创建单个模型的下载任务
|
||
# ══════════════════════════════════════════════════════════
|
||
def create_download_task(token: str, model_id: str) -> bool:
|
||
filename = get_model_filename(model_id)
|
||
auth_headers = {**HEADERS, "Authorization": f"Bearer {token}"}
|
||
payload = {
|
||
"allowPatterns": [filename],
|
||
"hfToken": HF_TOKEN,
|
||
"modelId": model_id,
|
||
"source": "HUGGING_FACE",
|
||
"stillDownloadAlreadySuccessDownloadedModel": False
|
||
}
|
||
print(f"📥 创建下载任务: {model_id} → {filename}", flush=True)
|
||
try:
|
||
resp = requests.post(BASE_URL + CREATE_DOWNLOAD_TASK_ENDPOINT, headers=auth_headers, json=payload, timeout=15)
|
||
if resp.status_code == 200:
|
||
data = resp.json()
|
||
if data.get("code") == 0:
|
||
print(f"✅ 下载任务已提交: {model_id}", flush=True)
|
||
return True
|
||
else:
|
||
print(f"⚠️ 下载任务业务失败 ({model_id}): {data.get('message')}", flush=True)
|
||
return False
|
||
else:
|
||
print(f"❌ HTTP 错误 ({model_id}): {resp.status_code} - {resp.text}", flush=True)
|
||
return False
|
||
except Exception as e:
|
||
print(f"💥 创建下载任务异常 ({model_id}): {e}", flush=True)
|
||
return False
|
||
|
||
# ══════════════════════════════════════════════════════════
|
||
# 查询单个模型的最新下载任务状态
|
||
# ══════════════════════════════════════════════════════════
|
||
def check_model_status(token: str, model_id: str) -> str:
|
||
"""
|
||
返回状态: 'WAITING', 'RUNNING', 'SUCCESS', 'FAILED', 'UNKNOWN'
|
||
"""
|
||
url = BASE_URL + CREATE_DOWNLOAD_TASK_ENDPOINT
|
||
auth_headers = {**HEADERS, "Authorization": f"Bearer {token}"}
|
||
params = {"modelId": model_id, "current": 1, "pageSize": 1}
|
||
try:
|
||
resp = requests.get(url, headers=auth_headers, params=params, timeout=10)
|
||
if resp.status_code != 200:
|
||
return "UNKNOWN"
|
||
data = resp.json()
|
||
if data.get("code") != 0:
|
||
return "UNKNOWN"
|
||
records = data.get("data", {}).get("records", [])
|
||
if not records:
|
||
return "UNKNOWN"
|
||
status = records[0].get("status", "UNKNOWN").upper()
|
||
return status
|
||
except Exception as e:
|
||
print(f"⚠️ 查询状态异常 ({model_id}): {e}", flush=True)
|
||
return "UNKNOWN"
|
||
|
||
# ══════════════════════════════════════════════════════════
|
||
# 提交单个模型的测试任务 hygon —— 机制B（xc-Token），提交账号 = HYGON_SUBMIT_ACCOUNT
|
||
# （下载任务仍在 zhoushasha 账号下进行，跟这里的提交账号无关，两者解耦）
|
||
# ══════════════════════════════════════════════════════════
|
||
def submit_test_task(model_id: str) -> bool:
|
||
model_filename = get_model_filename(model_id)
|
||
gpu_type = "hygon_k100-ai"
|
||
config_content = f"""docker_image: git.modelhub.org.cn:9443/enginex-hygon/hygon-llama.cpp:b7516
|
||
nv_docker_image: harbor-contest.4pd.io/luxinlong02/llama-cpp:b7003-cuda-full-12.3
|
||
framework: llamacpp
|
||
storage: gpfs
|
||
modelhub_options:
|
||
srcRelativePath: leaderboard/modelHubXC/{model_id}
|
||
mountPoint: /model
|
||
api: completion
|
||
temperature: 0
|
||
repetition_penalty: 1.1
|
||
top_p: 0.9
|
||
max_model_len: 4096
|
||
sut_config:
|
||
gpu_num: 1
|
||
values:
|
||
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']
|
||
ref_config:
|
||
gpu_num: 1
|
||
values:
|
||
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']
|
||
"""
|
||
headers = {"Content-Type": "application/json", "xc-Token": HYGON_XC_TOKEN}
|
||
payload = {
|
||
"configParams": config_content,
|
||
"framework": "llamacpp",
|
||
"modelAddress": f"https://huggingface.co/{model_id}",
|
||
"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"📤 提交测试任务 (hygon, 机制B, 账号={HYGON_SUBMIT_ACCOUNT}): {model_id}", flush=True)
|
||
try:
|
||
resp = requests.post(BASE_URL + ADD_TASK_ENDPOINT, headers=headers, json=payload, timeout=30)
|
||
if resp.status_code == 200:
|
||
result = resp.json()
|
||
if result.get("code") == 0:
|
||
print(f"✅ 测试任务提交成功! {model_id}", flush=True)
|
||
return True
|
||
else:
|
||
print(f"❌ 测试任务业务错误: {result.get('message')}", flush=True)
|
||
return False
|
||
else:
|
||
print(f"❌ 测试任务 HTTP 错误: {resp.status_code} - {resp.text}", flush=True)
|
||
return False
|
||
except Exception as e:
|
||
print(f"💥 提交测试任务异常 ({model_id}): {e}", flush=True)
|
||
return False
|
||
|
||
# ══════════════════════════════════════════════════════════
|
||
# 提交单个模型的测试任务 bi150
|
||
# ══════════════════════════════════════════════════════════
|
||
def submit_test_task_bi150(token: str, model_id: str) -> bool:
|
||
auth_headers = {**HEADERS, "Authorization": f"Bearer {token}"}
|
||
model_filename = get_model_filename(model_id)
|
||
gpu_type = "Iluvatar_bi-150"
|
||
config_content = f"""docker_image: git.modelhub.org.cn:9443/enginex-iluvatar/iluvatar-llama.cpp:b7516-bi150
|
||
nv_docker_image: harbor-contest.4pd.io/luxinlong02/llama-cpp:b7003-cuda-full-12.3
|
||
framework: llamacpp
|
||
storage: gpfs
|
||
modelhub_options:
|
||
srcRelativePath: leaderboard/modelHubXC/{model_id}
|
||
mountPoint: /model
|
||
max_model_len: 4096
|
||
sut_config:
|
||
gpu_num: 1
|
||
values:
|
||
command: ['/app/llama-server','--model', '/model/{model_filename}', '--alias', 'llm', '--threads', '20','--n-gpu-layers','128', '--ctx-size', '4096', '--host', '0.0.0.0', '--port', '8000', '--jinja', '--flash-attn', 'off', '--no-mmap', '--sync-to-temp']
|
||
ref_config:
|
||
gpu_num: 1
|
||
values:
|
||
command: ['/workspace/llama.cpp/build/bin/llama-server','--model', '/model/{model_filename}', '--alias', 'llm', '--threads', '20','--n-gpu-layers','128', '--ctx-size', '4096', '--host', '0.0.0.0', '--port', '8000', '--jinja', '--flash-attn', 'off']
|
||
"""
|
||
task_data = {
|
||
"contestApiToken": CONTEST_API_TOKEN,
|
||
"contributors": CONTRIBUTORS,
|
||
"gpuTypes": [gpu_type],
|
||
"taskType": TASK_TYPE,
|
||
"modelId": model_id,
|
||
"strategyId": STRATEGY_ID, # 平台要求
|
||
"submissionConfig": [{
|
||
"config": config_content,
|
||
"gpuType": gpu_type,
|
||
"taskType": TASK_TYPE
|
||
}]
|
||
}
|
||
print(f"📤 提交测试任务 (bi150): {model_id}", flush=True)
|
||
try:
|
||
resp = requests.post(BASE_URL + SUBMIT_TEST_TASK_ENDPOINT, json=task_data, headers=auth_headers, timeout=15)
|
||
if resp.status_code == 200:
|
||
result = resp.json()
|
||
if result.get("code") == 0:
|
||
task_id = result.get("data", {}).get("taskId")
|
||
print(f"✅ 测试任务提交成功! Task ID: {task_id}", flush=True)
|
||
return True
|
||
else:
|
||
print(f"❌ 测试任务业务错误: {result.get('message')}", flush=True)
|
||
return False
|
||
else:
|
||
print(f"❌ 测试任务 HTTP 错误: {resp.status_code} - {resp.text}", flush=True)
|
||
return False
|
||
except Exception as e:
|
||
print(f"💥 提交测试任务异常 ({model_id}): {e}", flush=True)
|
||
return False
|
||
|
||
# ══════════════════════════════════════════════════════════
|
||
# 业务逻辑：动态流水线（下载 → 提交验证任务）
|
||
# ══════════════════════════════════════════════════════════
|
||
def _run_worker():
|
||
_state["started_at"] = datetime.utcnow().isoformat()
|
||
_state["phase"] = "running"
|
||
|
||
try:
|
||
token = login()
|
||
except Exception as e:
|
||
print(f"[worker] 登录失败: {e}", flush=True)
|
||
_state["phase"] = "error"
|
||
return
|
||
|
||
pending_models = list(ALL_MODEL_IDS) # 尚未开始下载的模型
|
||
active_models: Set[str] = set() # 当前正在下载的模型
|
||
completed_results = {} # model_id -> status
|
||
|
||
print(f"🚀 总共 {len(pending_models)} 个模型待下载。最大并发数: {MAX_CONCURRENT_DOWNLOADS}\n", flush=True)
|
||
|
||
while (pending_models or active_models) and not _shutdown.is_set():
|
||
# 1. 检查活跃任务状态
|
||
for model_id in list(active_models):
|
||
if _shutdown.is_set():
|
||
break
|
||
status = check_model_status(token, model_id)
|
||
if status in ("SUCCESS", "FAILED"):
|
||
completed_results[model_id] = status
|
||
active_models.remove(model_id)
|
||
print(f"⏹️ {model_id} 完成，状态: {status}", flush=True)
|
||
if status == "SUCCESS":
|
||
_state["download_success"] += 1
|
||
# 下载成功后立即提交该模型的验证任务
|
||
if submit_test_task(model_id):
|
||
_state["submitted"] += 1
|
||
print(f"🧪 已为 {model_id} 提交 hygon 验证任务", flush=True)
|
||
else:
|
||
_state["submit_failed"] += 1
|
||
print(f"⚠️ {model_id} hygon 验证任务提交失败", flush=True)
|
||
|
||
# if submit_test_task_bi150(token, model_id):
|
||
# _state["submitted"] += 1
|
||
# print(f"🧪 已为 {model_id} 提交 bi150 验证任务", flush=True)
|
||
# else:
|
||
# _state["submit_failed"] += 1
|
||
# print(f"⚠️ {model_id} bi150 验证任务提交失败", flush=True)
|
||
else:
|
||
_state["download_failed"] += 1
|
||
|
||
# 2. 补充新任务（最多补到 MAX_CONCURRENT_DOWNLOADS 个）
|
||
while len(active_models) < MAX_CONCURRENT_DOWNLOADS and pending_models and not _shutdown.is_set():
|
||
next_model = pending_models.pop(0)
|
||
if create_download_task(token, next_model):
|
||
active_models.add(next_model)
|
||
print(f"▶️ 启动下载: {next_model} (当前活跃: {len(active_models)})", flush=True)
|
||
else:
|
||
# 创建失败也视为完成（避免卡住）
|
||
completed_results[next_model] = "CREATE_FAILED"
|
||
_state["download_failed"] += 1
|
||
print(f"❌ 创建失败: {next_model}", flush=True)
|
||
|
||
_state["downloading"] = sorted(active_models)
|
||
|
||
# 3. 稍作等待，避免频繁查询（可被 shutdown 信号打断）
|
||
if active_models or pending_models:
|
||
_shutdown.wait(CHECK_INTERVAL_SECONDS)
|
||
|
||
print("\n✅ 所有模型处理完毕！\n", flush=True)
|
||
|
||
# 4. 收集所有成功下载的模型ID并写入结果文件
|
||
success_models = [
|
||
mid for mid, status in completed_results.items()
|
||
if status == "SUCCESS"
|
||
]
|
||
try:
|
||
with open("downloaded_success_models.txt", "w", encoding="utf-8") as f:
|
||
for mid in success_models:
|
||
f.write(f"{mid}\n")
|
||
except Exception:
|
||
pass
|
||
|
||
print("🎉 下载成功的模型ID列表：", flush=True)
|
||
print("[", flush=True)
|
||
for mid in success_models:
|
||
print(f' "{mid}",', flush=True)
|
||
print("]", flush=True)
|
||
|
||
_state["downloading"] = []
|
||
_state["finished_at"] = datetime.utcnow().isoformat()
|
||
_state["phase"] = "done"
|
||
print(
|
||
f"[worker] 完成 download_success={_state['download_success']} "
|
||
f"download_failed={_state['download_failed']} "
|
||
f"submitted={_state['submitted']} submit_failed={_state['submit_failed']}",
|
||
flush=True,
|
||
)
|
||
# 流水线完成后继续保持进程存活，等待平台停止
|
||
|
||
# ══════════════════════════════════════════════════════════
|
||
# 入口
|
||
# ══════════════════════════════════════════════════════════
|
||
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 服务线程
|
||
http_thread = threading.Thread(target=_run_http, daemon=False)
|
||
http_thread.start()
|
||
|
||
# 流水线线程
|
||
worker_thread = threading.Thread(target=_run_worker, daemon=True)
|
||
worker_thread.start()
|
||
|
||
# 主线程等待 shutdown
|
||
_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()
|