diff --git a/README.md b/README.md
index 8fdb675..4ba62f7 100644
--- a/README.md
+++ b/README.md
@@ -1,14 +1,16 @@
 # xc_validation_strategy_vllm_zhouyuanxi
 
-批量向 ModelHub XC 平台提交模型适配任务的策略服务（zhouyuanxi 账号，zhoukaile xc-Token），
-之后保持 HTTP 服务存活供平台探活。
+部署在 zhouyuanxi 账号下的模型适配策略。任务通过 `zhangyuanxi`、`jiajing`、`l112233`、`l11223344` 四个账号的 XC Token 平均轮转提交；之后保持 HTTP 服务存活供平台探活。
+
+本轮使用 2026-09-24 的成功下载、非量化模型清单，只提交目标 GPU 尚无验证记录、且其他 GPU 至少一张「已验证」的模型：`Biren_166m` 6 个、`Cambricon_mlu-370-x8` 179 个、`Kunlunxin_p-800` 180 个、`MetaX_c-500` 40 个，共 405 条 GPU/模型任务。PPU 与 Hygon 由另一策略提交，本轮不重复提交。
 
 ## 功能
 
 - 通过 `/api/adapt/task/add` 接口（xc-Token 认证）批量提交模型适配任务
-- vllm 框架（api chat），Kunlunxin_p-800 GPU
+- 从 `model_ids/` 读取本轮四张 GPU 的模型 ID 清单，使用对应的 vLLM 配置
+- 某账号命中额度限制 60007 时，切换到下一个活跃账号
 - 提交成功的模型写入 `submitted_adapt_tasks.txt`
-- 暴露 `/health` 和 `/status` 接口满足平台运行时契约
+- 暴露 `/health` 和 `/status` 接口；`/status` 包含各账号、各 GPU 提交数量
 
 ## 平台契约说明
 
diff --git a/main.py b/main.py
index 841c96e..db68067 100644
--- a/main.py
+++ b/main.py
@@ -2,16 +2,12 @@
 xc_validation_strategy_vllm_zhouyuanxi — 主入口
 
 启动后针对 GPU_JOBS 中配置的 GPU 卡分别批量提交各自筛选出的模型适配任务
-（/api/adapt/task/add，xc-Token 认证）。
-（本轮仅提交 MetaX_c-500 / hygon_k100-ai / Cambricon_mlu-370-x8 这 3 张卡；
-Kunlunxin_p-800 / Biren_166m / Mthreads_s4000 的 config_content 与模型列表变量
-仍保留在代码中，未列入本次 GPU_JOBS，可供后续复用）
+（/api/adapt/task/add，xc-Token 认证）。本轮仅提交 2026-09-24 筛出的
+Biren_166m / Cambricon_mlu-370-x8 / Kunlunxin_p-800 / MetaX_c-500；
+其他 GPU 的 config_content 与模型列表仍保留，但不列入本次 GPU_JOBS。
 
-提交账号采用自动 fallback 轮转：按 ACCOUNTS 列表顺序提交，一旦当前账号命中
-平台的"异步验证任务数量已达上限"限制（错误码 60007），自动切换到下一个
-账号继续提交同一个模型，直至全部账号额度用尽。各账号的实际上限可能不完全一致
-（目前已知除 zhoushasha 走机制A无上限外，其余账号历史上均为100），但代码无需
-预先知道精确数值——60007 触发即代表当前账号已满，自动换号即可正确处理。
+提交账号按 ACTIVE_ACCOUNTS 平均轮转；若某账号命中额度限制 60007，
+跳过该账号并尝试下一账号提交当前模型。
 
 之后保持 HTTP 服务存活，暴露 /health（K8s 探活）和 /status（运行状态）。
 """
@@ -22,6 +18,7 @@ import signal
 import threading
 from datetime import datetime
 from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
+from pathlib import Path
 from typing import List, Tuple
 
 import requests
@@ -55,7 +52,7 @@ ACCOUNTS: List[Tuple[str, str, str]] = [
 
 # 本轮实际参与提交的账号（平均轮转只在这几个之间进行）。
 # 留空 [] 表示使用 ACCOUNTS 里的全部账号。
-# v1.1.0 按要求只用这 4 个；其余 6 个保留在 ACCOUNTS 里备用，不会丢失 token。
+# 沿用上一轮指定的 4 个活跃账号；其余 6 个保留在 ACCOUNTS 里备用。
 ACTIVE_ACCOUNT_LABELS: List[str] = [
     "zhangyuanxi", "jiajing", "l112233", "l11223344",
 ]
@@ -66,499 +63,29 @@ ACTIVE_ACCOUNTS: List[Tuple[str, str, str]] = (
 )
 
 # ══════════════════════════════════════════════════════════
-#  各 GPU 的模型列表（来自 filter_verified_models 脚本的筛选结果）
+#  各 GPU 的模型列表
 # ══════════════════════════════════════════════════════════
-METAX_MODELS = [
-    "emrevrg/Norovox-Alpha-MoE-7.0B",
-    "MusePublic/stable-diffusion-xl-base",
-    "emrevrg/Norovox-Alpha-MoE-1.2B",
-    "emrevrg/Norovox-Alpha-MoE-3.9B",
-    "DCAgent/g1_clean_hybrid_25k_32b",
-    "CaoruiLi/DefectVideoReward",
-    "ConstDemi/vikhr-nemo-12b-instruct-r-awq",
-    "sapidlabs/Sparkulator-GLM-5.2",
-    "pei39/deepseek_r1_distill_qwen_7b_awq_rag",
-    "fpadovani/jpn-jpan-100mb-ppt-Dp-10mb_seed10",
-    "devika-tiwari/gpt2_small_expandedbabyLM_100M_exp3_conj_ratio_0p25_mix_0p25_43",
-    "iamsiddj/EducatorHelperModel",
-    "fpadovani/jpn-jpan-100mb-after-ppt-Dp-100mb-ckpt500_seed10",
-    "devika-tiwari/gpt2_small_expandedbabyLM_100M_exp3_wh_v2_ratio_1p00_mix_0p25_44",
-    "anicka/ke-v9-8b",
-    "fpadovani/eng-latn-10mb-ppt-shuff-dyck-disjoint-tok_seed3407",
-    "ilhkn/my-awesome-setfit-model",
-    "fpadovani/eng-latn-10mb-ppt-shuff-dyck-10mb_seed10",
-    "Ddavidich/LOMONOSOV-ZENIT-27B-1M-INDEV",
-    "fpadovani/eng-latn-10mb-ppt-Dp-100mb_seed10",
-    "penupup/quora-distilbert-multilingual-lcqmc-sfa-hr",
-    "hroth/psais-paraphrase-multilingual-MiniLM-L12-v2-20shot",
-    "hroth/psais-LaBSE-10shot",
-    "LamNguyen0904/vistral-medical-adapter",
-    "Jolieb/tinyllama-lora-object-sorting",
-    "nessy-studio/poison-gemma",
-    "fpadovani/dan-latn-10mb-after-ppt-Dp-10mb-ckpt500_seed3407",
-    "flywheel-ai/real-estate",
-    "famseamus/LFM2.5-DCR-8B-A1B",
-    "Blackfrost-AI/Lumix-4B",
-    "ibm-granite/granite-34b-code-base-8k",
-    "microsoft/Dayhoff-3b-UR90-10000",
-    "microsoft/Dayhoff-3b-UR90-10",
-    "developer-lunark/Qwen3-30B-Korean-Roleplay",
-    "kshitijthakkar/loggenix-moe-0.3B-A0.1B-smolagents-v0-grpo",
-    "trl-internal-testing/tiny-Phi3ForCausalLM-3.5",
-    "dfgertg/idk",
-    "LeVraiCNL/ornith_finetune_v3",
-    "yuchen-zhu-zyc/HybridDiffusion-2B",
-    "bardsai/finance-sentiment-zh-fast",
-    "fpadovani/jpn-jpan-100mb-after-ppt-shuff-dyck-10mb-ckpt500_seed455",
-    "berkbirkan/gemma-3-lora-finetune-x-replies",
-    "nm-testing/Qwen3-4B-mixed-quant-RTN-wNaM-a4",
-    "infgrad/Prism-Qwen3.5-Reranker-0.8B",
-    "ngocnamk3er/dsi_transformers_code_t5_base_python",
-    "TheDrummer/Big-Tiger-Gemma-27B-v1",
-    "trashpanda-org/QwQ-32B-Snowdrop-v0",
-    "WizardLMTeam/WizardCoder-33B-V1.1",
-    "Tesslate/UIGEN-X-32B-0727",
-    "AscendKernelGen/KernelGen-LM-32B",
-    "charlie-li/Qwen3-Coder-30B-A3B-Instruct-Lora-ScaleSWE-Distilled-v1",
-    "ibm-granite/granite-4.1-30b-base",
-    "open-thoughts/OpenThinkerAgent-32B",
-    "zai-org/chatglm-6b",
-    "drbaph/s2-pro-fp8",
-    "Youssofal/Qwen3.8-27B-MTPLX-Optimized-Speed-FP16",
-    "groxaxo/s2-pro-BnB-4Bits",
-    "TomoroAI/tomoro-ai-colqwen3-embed-8b-awq",
-    "TomoroAI/tomoro-ai-colqwen3-embed-4b-awq",
-    "aleada/Phi-4-mini-instruct-W4A16",
-    "aleada/Phi-4-W4A16",
-    "morphllm/dspark-glm52-draft",
-    "kanishka/opt-babylm1_no_preemption_laugh_seed-211_5e-6",
-    "bachvnju/qwen3-0.6b-coder",
-    "xpuenabler/gpt-oss-15.5b-23E-SFT",
-    "cyber-pal-security/CyberPal2.0-20B",
-    "LeaderboardModel1/grug-27b-AutoRound-W4A16-Tuning",
-    "LeaderboardModel1/Qwythos-9B-Claude-Mythos-5-1M-AutoRound-W4A16-Tuning",
-    "LeaderboardModel1/Qwevolution-V0-27B-AutoRound-W4A16-RTN",
-    "LeaderboardModel1/Qwen3.6-35B-A3B-AutoRound-W4A16-Tuning",
-    "LeaderboardModel1/Qwen3.5-4B-AutoRound-W4A16-RTN",
-    "YeungNLP/firefly-baichuan-7b-qlora-sft",
-    "LeaderboardModel1/Qwen-AgentWorld-35B-A3B-AutoRound-W4A16-RTN",
-    "LeaderboardModel1/Ornith-1.0-35B-AutoRound-W4A16-Tuning",
-    "LeaderboardModel1/Code-Writer-V2-Obliterated-BF16-AutoRound-W4A16-RTN",
-    "LeaderboardModel1/Agents-A1-AutoRound-W4A16-RTN",
-    "Qwen/WebWorld-32B",
-    "24B-Suite/Mergedonia-PROMETHEUS-24B-v1",
-    "zjiayu064/Qwen3-Next-80B-A3B-Instruct-BitsMoE-2bit",
-    "praxisresearch/hf_olmo_32b_em_finrisk_1",
-    "RESMP-DEV/jina-code-embeddings-1.5b-mxfp4-block-gptq",
-    "praxisresearch/hf_olmo_32b_em_finrisk_0",
-    "praxisresearch/hf_olmo_32b_em_badmed_1",
-    "praxisresearch/hf_olmo_32b_em_badmed_0",
-    "Mohamed-Sami-Ghrab/moove-qwen3-32b-medical-sft-v2",
-    "Pageshift-Entertainment/pagestorm-research-preview-24b-first-chapter-only",
-    "pki/nova-24b-cybersec",
-    "ReadyArt/Omega-Darker-Gaslight_The-Final-Forgotten-Fever-Dream-24B",
-    "Kwai-AutoSQL/Kwai-AutoSQL-32B",
-]
+MODEL_DIR = Path(__file__).resolve().parent / "model_ids"
 
-KUNLUNXIN_MODELS = [
-    "AI-ModelScope/granite-20b-code-base",
-    "vllm-ascend/Qwen3-32B-w8a8sc-310-vllm-tp4",
-    "KenDual3090tiNvlink/NVIDIA-Nemotron-Labs-3-Puzzle-75B-A9B-W4A16",
-    "AI-ModelScope/granite-20b-code-instruct-8k",
-    "AI-ModelScope/granite-20b-code-base-8k",
-    "openbmb/MiniCPM4-8B-marlin-cpmcu",
-    "AI-ModelScope/granite-20b-code-instruct",
-    "openbmb/MiniCPM4-8B-marlin-Eagle-vLLM",
-    "CaoruiLi/DefectVideoReward",
-    "fpadovani/jpn-jpan-100mb-ppt-Dp-10mb_seed10",
-    "devika-tiwari/gpt2_small_expandedbabyLM_100M_exp3_conj_ratio_0p25_mix_0p25_43",
-    "iamsiddj/EducatorHelperModel",
-    "google/gemma-2b-cpp",
-    "hroth01/psais-all-MiniLM-L6-v2-20shot",
-    "devika-tiwari/gpt2_small_expandedbabyLM_100M_exp3_wh_v2_ratio_1p00_mix_0p25_44",
-    "anicka/ke-v9-8b",
-    "EBLANSoft/eblangpt-falos67",
-    "fpadovani/eng-latn-10mb-ppt-shuff-dyck-disjoint-tok_seed3407",
-    "ilhkn/my-awesome-setfit-model",
-    "fpadovani/eng-latn-10mb-ppt-Dp-100mb_seed10",
-    "penupup/quora-distilbert-multilingual-lcqmc-sfa-hr",
-    "hroth/psais-paraphrase-multilingual-MiniLM-L12-v2-20shot",
-    "hroth/psais-LaBSE-10shot",
-    "malaiwah/GLM-5.2-SIQ-Fruit-Instruct",
-    "fpadovani/eng-latn-100mb-ppt-shuff-dyck-100mb_seed10",
-    "arshiysohrevardi/moeinGTS1.5-1.5b",
-    "Q1ngMang/LFM2.5-350M-PT-zh_CN",
-    "fpadovani/dan-latn-10mb-after-ppt-Dp-10mb-ckpt500_seed3407",
-    "flywheel-ai/real-estate",
-    "hroth/psais-all-MiniLM-L6-v2-1shot",
-    "stjiris/bert-large-portuguese-cased-legal-tsdae",
-    "bartowski/deepseek-llm-7b-base-exl2",
-    "lsm0729/Qwen2.5-VL-3B-Instruct-quantized.w8a8",
-    "LeVraiCNL/ornith_finetune_v3",
-    "fawazatvetted/fine_tuned_mpnetv3",
-    "cjos/my-awesome-setfit-model",
-    "litert-community/Ministral-3-3B-Reasoning-2512",
-    "mizzaay/6de7a1b5",
-    "MU-Kindai/SBERT-JSNLI-base",
-    "JoBeer/multi-qa-mpnet-base-dot-v1-eclass",
-    "pkshatech/simcse-ja-bert-base-clcmlp",
-    "amd/Phi-4-mini-instruct-onnx-ryzenai-hybrid",
-    "amd/Phi-3.5-mini-instruct-onnx-ryzenai-hybrid",
-    "louisbetsch/new-classification-model",
-    "aammari/setfit-zero-shot-classification-pbsp-p3-cons",
-    "JoBeer/all-mpnet-base-v2-eclass",
-    "arithmetic-circuit-overloading/gpt2-64D-1L-4H",
-    "aammari/setfit-zero-shot-classification-pbsp-p3-trig",
-    "gart-labor/eng-distilBERT-se-eclass",
-    "arithmetic-circuit-overloading/gpt2-256D-1L-8H",
-    "gemasphi/f-real-setfit-ss-paraphrase-multilingual-mpnet-base-v2",
-    "fawazatvetted/fine_tuned_mpnetv2",
-    "leerobert/my-awesome-setfit-model",
-    "aleada/Phi-4-mini-instruct-W4A16",
-    "aleada/Phi-4-W4A16",
-    "lewtun/setfit-minilm-distilled-test",
-    "aparna1595/bert-mpnet-sentence",
-    "amd/Phi-4-mini-reasoning-onnx-ryzenai-hybrid",
-    "mssongit/fndeberta-sentence",
-    "amd/Phi-3.5-mini-instruct-onnx-ryzenai-npu",
-    "amd/Phi-3-mini-4k-instruct-onnx-ryzenai-hybrid",
-    "aammari/setfit-zero-shot-classification-pbsp-p3-dur",
-    "aammari/setfit-zero-shot-classification-pbsp-p3-freq",
-    "dlicari/distil-ita-legal-bert",
-    "aammari/setfit-zero-shot-classification-pbsp-p3-bhvr",
-    "dlicari/sentence-ita-eurlex-bert-base",
-    "lsanochkin/setfit-rubert-intent",
-    "LeaderboardModel1/grug-27b-AutoRound-W4A16-Tuning",
-    "microsoft/VibeVoice-Realtime-0.5B",
-    "ShwetActhq/dummy_setfit",
-    "gemasphi/real-setfit-ss-paraphrase-multilingual-mpnet-base-v2",
-    "OpenVoiceOS/canary-qwen-2.5b-onnx",
-    "LeaderboardModel1/Qwythos-9B-Claude-Mythos-5-1M-AutoRound-W4A16-Tuning",
-    "LeaderboardModel1/Qwevolution-V0-27B-AutoRound-W4A16-RTN",
-    "LeaderboardModel1/Qwen3.6-35B-A3B-AutoRound-W4A16-Tuning",
-    "LeaderboardModel1/Qwen3.5-4B-AutoRound-W4A16-RTN",
-    "YeungNLP/firefly-baichuan-7b-qlora-sft",
-    "LeaderboardModel1/Qwen-AgentWorld-35B-A3B-AutoRound-W4A16-RTN",
-    "LeaderboardModel1/Ornith-1.0-35B-AutoRound-W4A16-Tuning",
-    "LeaderboardModel1/Code-Writer-V2-Obliterated-BF16-AutoRound-W4A16-RTN",
-    "salihfurkaan/Qwen2.5-VL-ScienceQA-Math-CoT-Merged",
-    "LeaderboardModel1/Agents-A1-AutoRound-W4A16-RTN",
-    "aammari/setfit-zero-shot-classification-pbsp-p1",
-    "meta-llama/Prompt-Guard-86M",
-    "kornwtp/ConGen-paraphrase-multilingual-mpnet-base-v2",
-    "zjiayu064/Qwen3-Next-80B-A3B-Instruct-BitsMoE-2bit",
-    "kornwtp/ConGen-simcse-model-roberta-base-thai",
-    "praxisresearch/hf_olmo_32b_em_finrisk_1",
-    "gemasphi/setfit-ss-paraphrase-multilingual-mpnet-base-v2",
-    "RESMP-DEV/jina-code-embeddings-1.5b-mxfp4-block-gptq",
-    "praxisresearch/hf_olmo_32b_em_finrisk_0",
-    "praxisresearch/hf_olmo_32b_em_badmed_1",
-    "praxisresearch/hf_olmo_32b_em_badmed_0",
-    "lmxhappy/brand_bert",
-    "kamalkraj/BioSimCSE-BioLinkBERT-BASE",
-    "lmxhappy/tiyu_bert",
-    "ReadyArt/Omega-Darker-Gaslight_The-Final-Forgotten-Fever-Dream-24B",
-    "Kwai-AutoSQL/Kwai-AutoSQL-32B",
-    "ibaucells/paraphrase-multilingual-mpnet-base-v2_tecla_label2_8",
-    "futuredatascience/action-classifier-v2",
-    "LoneStriker/Orca-2-13b-5.0bpw-h6-exl2",
-    "futuredatascience/to-classifier-v2",
-    "futuredatascience/from-classifier-v2",
-    "shrinivasbjoshi/r2-w266-setfit-mbti-multiclass-hypsearch-mpnet-nov30",
-]
 
-BIREN_MODELS = [
-    "emrevrg/Norovox-Alpha-MoE-7.0B",
-    "emrevrg/Norovox-Alpha-MoE-1.2B",
-    "emrevrg/Norovox-Alpha-MoE-3.9B",
-    "AI-ModelScope/granite-20b-code-base",
-    "vllm-ascend/Qwen3-32B-w8a8sc-310-vllm-tp4",
-    "KenDual3090tiNvlink/NVIDIA-Nemotron-Labs-3-Puzzle-75B-A9B-W4A16",
-    "AI-ModelScope/granite-20b-code-instruct-8k",
-    "openbmb/MiniCPM4-8B-marlin-cpmcu",
-    "openbmb/MiniCPM4-8B-marlin-Eagle-vLLM",
-    "CaoruiLi/DefectVideoReward",
-    "ConstDemi/vikhr-nemo-12b-instruct-r-awq",
-    "pei39/deepseek_r1_distill_qwen_7b_awq_rag",
-    "devika-tiwari/gpt2_small_expandedbabyLM_100M_exp3_conj_ratio_0p25_mix_0p25_43",
-    "RadixArk/Qwen3.8-27B-DSpark",
-    "iamsiddj/EducatorHelperModel",
-    "google/gemma-2b-cpp",
-    "hroth01/psais-all-MiniLM-L6-v2-20shot",
-    "devika-tiwari/gpt2_small_expandedbabyLM_100M_exp3_wh_v2_ratio_1p00_mix_0p25_44",
-    "EBLANSoft/eblangpt-falos67",
-    "ilhkn/my-awesome-setfit-model",
-    "Ddavidich/LOMONOSOV-ZENIT-27B-1M-INDEV",
-    "EleutherAI/quirky-pythia-410m-mixture",
-    "penupup/quora-distilbert-multilingual-lcqmc-sfa-hr",
-    "nomic-ai/nomic-embed-text-v2-moe",
-    "Jolieb/tinyllama-lora-object-sorting",
-    "arshiysohrevardi/moeinGTS1.5-1.5b",
-    "Xenova/pythia-410m-deduped",
-    "Q1ngMang/LFM2.5-350M-PT-zh_CN",
-    "nessy-studio/poison-gemma",
-    "flywheel-ai/real-estate",
-    "Pacific-i64/TR-MOE-306",
-    "bartowski/internlm2-chat-20b-llama-old",
-    "farbodtavakkoli/OTel-LLM-E4B-IT",
-    "hroth/psais-all-MiniLM-L6-v2-1shot",
-    "famseamus/LFM2.5-DCR-8B-A1B",
-    "narendarcodes/adaption-sec-financial-arithmetic-109b",
-    "narendarcodes/adaption-gpt-oss-120b-telugu-instruct",
-    "stjiris/bert-large-portuguese-cased-legal-tsdae",
-    "bartowski/deepseek-llm-7b-base-exl2",
-    "Blackfrost-AI/Lumix-4B",
-    "developer-lunark/Qwen3-30B-Korean-Roleplay",
-    "kshitijthakkar/loggenix-moe-0.3B-A0.1B-smolagents-v0-grpo",
-    "LLM-Research/Phi-4-mini-flash-reasoning",
-    "ib-ssm/mamba2-8b-3t-4k-hf",
-    "dfgertg/idk",
-    "LeVraiCNL/ornith_finetune_v3",
-    "fawazatvetted/fine_tuned_mpnetv3",
-    "riccardozaccone96/flexrank-llama3.2-1B",
-    "yuchen-zhu-zyc/HybridDiffusion-2B",
-    "fpadovani/jpn-jpan-100mb-after-ppt-shuff-dyck-10mb-ckpt500_seed455",
-    "infgrad/Prism-Qwen3.5-Reranker-0.8B",
-    "cjos/my-awesome-setfit-model",
-    "BananaMind/BananaMind-2-Nano",
-    "litert-community/Ministral-3-3B-Reasoning-2512",
-    "livadies/Bonsai-27B-Android-Local",
-    "blockblockblock/Qwen2.5-0.5B-Instruct-exl3-3.0bpw",
-    "WizardLMTeam/WizardCoder-33B-V1.1",
-    "amd/Phi-4-mini-instruct-onnx-ryzenai-hybrid",
-    "Tesslate/UIGEN-X-32B-0727",
-    "AscendKernelGen/KernelGen-LM-32B",
-    "charlie-li/Qwen3-Coder-30B-A3B-Instruct-Lora-ScaleSWE-Distilled-v1",
-    "open-thoughts/OpenThinkerAgent-32B",
-    "drbaph/s2-pro-fp8",
-    "groxaxo/s2-pro-BnB-4Bits",
-    "TomoroAI/tomoro-ai-colqwen3-embed-8b-awq",
-    "TomoroAI/tomoro-ai-colqwen3-embed-4b-awq",
-    "aleada/Phi-4-mini-instruct-W4A16",
-    "aleada/Phi-4-W4A16",
-    "amd/Phi-4-mini-reasoning-onnx-ryzenai-hybrid",
-    "amd/Phi-3.5-mini-instruct-onnx-ryzenai-npu",
-    "amd/Phi-3-mini-4k-instruct-onnx-ryzenai-hybrid",
-    "cyber-pal-security/CyberPal2.0-20B",
-    "LeaderboardModel1/grug-27b-AutoRound-W4A16-Tuning",
-    "Qwen/Qwen-AgentWorld-35B-A3B",
-    "jinxing6609/olmo3-7b-zh-merged",
-    "LeaderboardModel1/Qwythos-9B-Claude-Mythos-5-1M-AutoRound-W4A16-Tuning",
-    "LeaderboardModel1/Qwevolution-V0-27B-AutoRound-W4A16-RTN",
-    "LeaderboardModel1/Qwen3.6-35B-A3B-AutoRound-W4A16-Tuning",
-    "LeaderboardModel1/Qwen3.5-4B-AutoRound-W4A16-RTN",
-    "LeaderboardModel1/Qwen-AgentWorld-35B-A3B-AutoRound-W4A16-RTN",
-    "LeaderboardModel1/Ornith-1.0-35B-AutoRound-W4A16-Tuning",
-    "LeaderboardModel1/Code-Writer-V2-Obliterated-BF16-AutoRound-W4A16-RTN",
-    "LeaderboardModel1/Agents-A1-AutoRound-W4A16-RTN",
-    "Qwen/WebWorld-32B",
-    "24B-Suite/Mergedonia-PROMETHEUS-24B-v1",
-    "zjiayu064/Qwen3-Next-80B-A3B-Instruct-BitsMoE-2bit",
-    "praxisresearch/hf_olmo_32b_em_finrisk_1",
-    "RESMP-DEV/jina-code-embeddings-1.5b-mxfp4-block-gptq",
-    "praxisresearch/hf_olmo_32b_em_finrisk_0",
-    "praxisresearch/hf_olmo_32b_em_badmed_1",
-    "praxisresearch/hf_olmo_32b_em_badmed_0",
-    "allenai/MolmoAct-7B-D-Pretrain-0812",
-    "allenai/MolmoAct-7B-D-LIBERO-Object-0812",
-    "Mohamed-Sami-Ghrab/moove-qwen3-32b-medical-sft-v2",
-    "pki/nova-24b-cybersec",
-    "ReadyArt/Omega-Darker-Gaslight_The-Final-Forgotten-Fever-Dream-24B",
-    "Kwai-AutoSQL/Kwai-AutoSQL-32B",
-    "litert-community/gemma-3-270m-it",
-    "LoneStriker/Orca-2-13b-5.0bpw-h6-exl2",
-]
+def load_model_ids(filename: str) -> List[str]:
+    model_ids = [
+        line.strip()
+        for line in (MODEL_DIR / filename).read_text(encoding="utf-8").splitlines()
+        if line.strip()
+    ]
+    if not model_ids or len(model_ids) != len(set(model_ids)):
+        raise ValueError(f"模型列表为空或含重复 ID: {filename}")
+    return model_ids
 
-CAMBRICON_MODELS = [
-    "emrevrg/Norovox-Alpha-MoE-7.0B",
-    "emrevrg/Norovox-Alpha-MoE-1.2B",
-    "emrevrg/Norovox-Alpha-MoE-3.9B",
-    "AI-ModelScope/granite-20b-code-base",
-    "llm-jp/llm-jp-4-32b-a3b-thinking",
-    "vllm-ascend/Qwen3-32B-w8a8sc-310-vllm-tp4",
-    "YOYO-AI/ZYH-LLM-Qwen2.5-14B-V2",
-    "DCAgent/g1_clean_hybrid_25k_32b",
-    "amd/gpt-oss-20b-BF16-w8a8-llmcompressor",
-    "KoboldAI/fairseq-dense-13B-Janeway",
-    "KenDual3090tiNvlink/NVIDIA-Nemotron-Labs-3-Puzzle-75B-A9B-W4A16",
-    "AI-ModelScope/granite-20b-code-instruct-8k",
-    "openbmb/MiniCPM4-8B-marlin-cpmcu",
-    "AI-ModelScope/granite-20b-code-instruct",
-    "openbmb/MiniCPM4-8B-marlin-Eagle-vLLM",
-    "CaoruiLi/DefectVideoReward",
-    "ConstDemi/vikhr-nemo-12b-instruct-r-awq",
-    "sapidlabs/Sparkulator-GLM-5.2",
-    "pei39/deepseek_r1_distill_qwen_7b_awq_rag",
-    "fpadovani/jpn-jpan-100mb-ppt-Dp-10mb_seed10",
-    "Zynerji/Ektome-Qwen3-VL-4Bi-PristinelyUncensored",
-    "Zynerji/Ektome-Qwen3-VL-2Bi-PristinelyUncensored",
-    "iamsiddj/EducatorHelperModel",
-    "vorenthiclabs/vorenthos-vision-thinking-qwq-7b",
-    "lodestones/gemma-7b-flax",
-    "google/gemma-2b-cpp",
-    "jinaai/jina-reranker-v3.5",
-    "hroth01/psais-all-MiniLM-L6-v2-20shot",
-    "anicka/ke-v9-8b",
-    "EBLANSoft/eblangpt-falos67",
-    "fpadovani/eng-latn-10mb-ppt-shuff-dyck-disjoint-tok_seed3407",
-    "ilhkn/my-awesome-setfit-model",
-    "Ddavidich/LOMONOSOV-ZENIT-27B-1M-INDEV",
-    "fpadovani/eng-latn-10mb-ppt-Dp-100mb_seed10",
-    "penupup/quora-distilbert-multilingual-lcqmc-sfa-hr",
-    "hroth/psais-paraphrase-multilingual-MiniLM-L12-v2-20shot",
-    "hroth/psais-LaBSE-10shot",
-    "TurkuNLP/web-register-classification-multilingual",
-    "malaiwah/GLM-5.2-SIQ-Fruit-Instruct",
-    "nomic-ai/nomic-embed-text-v2-moe",
-    "Udoba45/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-tall_thorny_boar",
-    "VerStella/Qwen3.8-27B-heretic-ara-W8A8-DCU",
-    "LamNguyen0904/vistral-medical-adapter",
-    "Jolieb/tinyllama-lora-object-sorting",
-    "ibm-granite/granite-embedding-30m-sparse",
-    "arshiysohrevardi/moeinGTS1.5-1.5b",
-    "Undi95/Mistral-11B-OmniMix",
-    "Xenova/pythia-410m-deduped",
-    "Undi95/Mistral-11B-CC-Air",
-    "Q1ngMang/LFM2.5-350M-PT-zh_CN",
-    "nessy-studio/poison-gemma",
-    "Undi95/Mistral-11B-Airoboros-v0.1",
-    "flywheel-ai/real-estate",
-    "hroth/psais-all-MiniLM-L6-v2-1shot",
-    "stjiris/bert-large-portuguese-cased-legal-tsdae",
-    "bartowski/deepseek-llm-7b-base-exl2",
-    "llm-semantic-router/mmbert-fact-check-merged",
-    "LeVraiCNL/ornith_finetune_v3",
-    "fawazatvetted/fine_tuned_mpnetv3",
-    "berkbirkan/gemma-3-lora-finetune-x-replies",
-    "nm-testing/Qwen3-4B-mixed-quant-RTN-wNaM-a4",
-    "infgrad/Prism-Qwen3.5-Reranker-0.8B",
-    "cjos/my-awesome-setfit-model",
-    "OpenMed/OpenMed-PII-French-BioClinicalBERT-Base-110M-v1",
-    "seerware/granite-embedding-30m-sparse",
-    "MU-Kindai/SBERT-JSNLI-base",
-    "OpenMed/OpenMed-PII-French-BiomedELECTRA-Large-335M-v1",
-    "JoBeer/multi-qa-mpnet-base-dot-v1-eclass",
-    "OpenMed/OpenMed-PII-French-BiomedELECTRA-Base-110M-v1",
-    "OpenMed/OpenMed-PII-French-BiomedBERT-Large-340M-v1",
-    "infgrad/Prism-Qwen3.5-Reranker-4B",
-    "pkshatech/simcse-ja-bert-base-clcmlp",
-    "RCouronnePEReN/gpt2_finetuned_overfit-10epochs-128tokens",
-    "q-future/Q-ReAlign-Pro-9B",
-    "vrfai/gemma-4-12B-it-fp8",
-    "amd/Phi-4-mini-instruct-onnx-ryzenai-hybrid",
-    "OpenMed/OpenMed-PII-German-BioClinicalBERT-Base-110M-v1",
-    "louisbetsch/new-classification-model",
-    "Trendyol/Trendyol-LLM-Asure-12B",
-    "OpenMed/OpenMed-PII-German-BiomedELECTRA-Large-335M-v1",
-    "OpenMed/OpenMed-PII-German-BiomedELECTRA-Base-110M-v1",
-    "OpenMed/OpenMed-PII-German-BiomedBERT-Base-110M-v1",
-    "aammari/setfit-zero-shot-classification-pbsp-p3-cons",
-    "JoBeer/all-mpnet-base-v2-eclass",
-    "BalaRajesh1/mmbert-small-nli",
-    "aammari/setfit-zero-shot-classification-pbsp-p3-trig",
-    "charlie-li/Qwen3-Coder-30B-A3B-Instruct-Lora-ScaleSWE-Distilled-v1",
-    "quanda-bench-test/gpt2-small-trex-openwebtext-hf",
-    "quanda-bench-test/gpt2-small-trex-hf",
-    "quanda-bench-test/gpt2-small-trex-wikitext-ft-hf",
-    "quanda-bench-test/gpt2-small-trex-wikitext-hf",
-    "quanda-bench-test/gpt2-small-trex-openwebtext-ft-hf",
-    "quanda-bench-test/gpt2-small-trex-ft-hf",
-    "gart-labor/eng-distilBERT-se-eclass",
-    "Pakorn2112/Orpheus-TTS-hmong-3b",
-    "OpenMed/OpenMed-PII-Italian-BiomedBERT-Base-110M-v1",
-    "OpenMed/OpenMed-PII-Italian-BioClinicalBERT-Base-110M-v1",
-    "gemasphi/f-real-setfit-ss-paraphrase-multilingual-mpnet-base-v2",
-    "OpenMed/OpenMed-PII-Italian-BiomedELECTRA-Large-335M-v1",
-    "ans2004/aragpt2-transport-autocomplete",
-    "fawazatvetted/fine_tuned_mpnetv2",
-    "Auparima/thaifood-embed",
-    "OpenMed/OpenMed-PII-Italian-BiomedBERT-Large-340M-v1",
-    "OpenMed/OpenMed-PII-Italian-BiomedELECTRA-Base-110M-v1",
-    "fishaudio/s2-pro",
-    "drbaph/s2-pro-fp8",
-    "leerobert/my-awesome-setfit-model",
-    "OpenMed/OpenMed-PII-Spanish-BioClinicalBERT-Base-110M-v1",
-    "OpenMed/OpenMed-PII-Spanish-BiomedELECTRA-Base-110M-v1",
-    "OpenMed/OpenMed-PII-Spanish-BiomedBERT-Large-340M-v1",
-    "OpenMed/OpenMed-PII-Spanish-BiomedBERT-Base-110M-v1",
-    "groxaxo/s2-pro-BnB-4Bits",
-    "ReconOut/granite-embedding-english-r2",
-    "Imagilux/fishaudio-s2-pro",
-    "TomoroAI/tomoro-ai-colqwen3-embed-8b-awq",
-    "TomoroAI/tomoro-ai-colqwen3-embed-4b-awq",
-    "aleada/Phi-4-mini-instruct-W4A16",
-    "aleada/Phi-4-W4A16",
-    "lewtun/setfit-minilm-distilled-test",
-    "morphllm/dspark-glm52-draft",
-    "tomaarsen/jina-embeddings-v3-hf",
-    "ibm-granite/granite-embedding-311m-multilingual-r2",
-    "aparna1595/bert-mpnet-sentence",
-    "ibm-granite/granite-embedding-97m-multilingual-r2",
-    "FINAL-Bench/Darwin-TTS-1.7B-Cross",
-    "amd/Phi-4-mini-reasoning-onnx-ryzenai-hybrid",
-    "jinaai/jina-embeddings-v3-hf",
-    "gluschenko/omnivoice-onnx",
-    "mssongit/fndeberta-sentence",
-    "splendor1811/omnivoice-vietnamese",
-    "amd/Phi-3.5-mini-instruct-onnx-ryzenai-npu",
-    "yugeshkarunamurthy/Ornith-1.0-9B-oQe6",
-    "amd/Phi-3-mini-4k-instruct-onnx-ryzenai-hybrid",
-    "yugeshkarunamurthy/Ornith-1.0-9B-oQe3.5",
-    "aammari/setfit-zero-shot-classification-pbsp-p3-dur",
-    "aammari/setfit-zero-shot-classification-pbsp-p3-freq",
-    "dlicari/distil-ita-legal-bert",
-    "maya-multimodal/Qwen3.5-9B-aerialsim-rl-step100",
-    "aammari/setfit-zero-shot-classification-pbsp-p3-bhvr",
-    "dlicari/sentence-ita-eurlex-bert-base",
-    "lsanochkin/setfit-rubert-intent",
-    "cyber-pal-security/CyberPal2.0-20B",
-    "LeaderboardModel1/grug-27b-AutoRound-W4A16-Tuning",
-    "microsoft/VibeVoice-Realtime-0.5B",
-    "Qwen/Qwen-AgentWorld-35B-A3B",
-    "ShwetActhq/dummy_setfit",
-    "gemasphi/real-setfit-ss-paraphrase-multilingual-mpnet-base-v2",
-    "OpenVoiceOS/canary-qwen-2.5b-onnx",
-    "nvidia/nemotron-labs-audio-visual-flamingo-hf",
-    "LeaderboardModel1/Qwythos-9B-Claude-Mythos-5-1M-AutoRound-W4A16-Tuning",
-    "LeaderboardModel1/Qwevolution-V0-27B-AutoRound-W4A16-RTN",
-    "LeaderboardModel1/Qwen3.6-35B-A3B-AutoRound-W4A16-Tuning",
-    "LeaderboardModel1/Qwen3.5-4B-AutoRound-W4A16-RTN",
-    "YeungNLP/firefly-baichuan-7b-qlora-sft",
-    "LeaderboardModel1/Qwen-AgentWorld-35B-A3B-AutoRound-W4A16-RTN",
-    "LeaderboardModel1/Ornith-1.0-35B-AutoRound-W4A16-Tuning",
-    "LeaderboardModel1/Code-Writer-V2-Obliterated-BF16-AutoRound-W4A16-RTN",
-    "salihfurkaan/Qwen2.5-VL-ScienceQA-Math-CoT-Merged",
-    "LeaderboardModel1/Agents-A1-AutoRound-W4A16-RTN",
-    "aammari/setfit-zero-shot-classification-pbsp-p1",
-    "meta-llama/Prompt-Guard-86M",
-    "Qwen/WebWorld-32B",
-    "24B-Suite/Mergedonia-PROMETHEUS-24B-v1",
-    "kornwtp/ConGen-paraphrase-multilingual-mpnet-base-v2",
-    "zjiayu064/Qwen3-Next-80B-A3B-Instruct-BitsMoE-2bit",
-    "kornwtp/ConGen-simcse-model-roberta-base-thai",
-    "praxisresearch/hf_olmo_32b_em_finrisk_1",
-    "EleutherAI/pythia-1.4b-addition-first-ft",
-    "gemasphi/setfit-ss-paraphrase-multilingual-mpnet-base-v2",
-    "RESMP-DEV/jina-code-embeddings-1.5b-mxfp4-block-gptq",
-    "praxisresearch/hf_olmo_32b_em_finrisk_0",
-    "praxisresearch/hf_olmo_32b_em_badmed_1",
-    "praxisresearch/hf_olmo_32b_em_badmed_0",
-    "allenai/MolmoAct-7B-D-Pretrain-0812",
-    "allenai/MolmoAct-7B-D-LIBERO-Spatial-0812",
-    "allenai/MolmoAct-7B-D-LIBERO-Object-0812",
-    "lmxhappy/brand_bert",
-    "kamalkraj/BioSimCSE-BioLinkBERT-BASE",
-    "Mohamed-Sami-Ghrab/moove-qwen3-32b-medical-sft-v2",
-    "lmxhappy/tiyu_bert",
-    "ReadyArt/Omega-Darker-Gaslight_The-Final-Forgotten-Fever-Dream-24B",
-    "shrinivasbjoshi/r3-w266-setfit-mbti-noempath-multiclass-hypsearch-mpnet-dec1",
-    "Kwai-AutoSQL/Kwai-AutoSQL-32B",
-    "ibaucells/paraphrase-multilingual-mpnet-base-v2_tecla_label2_8",
-    "futuredatascience/action-classifier-v2",
-    "futuredatascience/to-classifier-v2",
-    "futuredatascience/from-classifier-v2",
-    "shrinivasbjoshi/r2-w266-setfit-mbti-multiclass-hypsearch-mpnet-nov30",
-]
+
+METAX_MODELS = load_model_ids("MetaX_c-500_2026-09-24.txt")
+
+KUNLUNXIN_MODELS = load_model_ids("Kunlunxin_p-800_2026-09-24.txt")
+
+BIREN_MODELS = load_model_ids("Biren_166m_2026-09-24.txt")
+
+CAMBRICON_MODELS = load_model_ids("Cambricon_mlu-370-x8_2026-09-24.txt")
 
 HYGON_MODELS = [
     "emrevrg/Norovox-Alpha-MoE-7.0B",
@@ -2019,25 +1546,14 @@ PPU_MODELS = [
     "espressovi/BODHI-qwen-3-maze-8b-distil",
 ]
 
-# 本轮提交「放宽口径」的筛选结果：MetaX_c-500(89) / Kunlunxin_p-800(104) /
-# hygon_k100-ai(811) / Cambricon_mlu-370-x8(188) / Iluvatar_bi-150(75) /
-# Biren_166m(99)，共 1366 个。
-#
-# 筛选条件②从「别的卡已验证」放宽为「别的卡已验证 或 验证中」：
-# 正在验证说明模型已通过平台基本检查（格式/唯一性），只是还没出结果。
-# 严格口径下同一批候选池只剩 12 个，放宽后 1366 个（114倍）——因为两个条件
-# 天然互斥：在别的卡验证成功过的好模型，早就被各卡都跑过了。
-#
-# 本轮 Iluvatar_bi-150 恢复提交：用户已补上 vllm 版 iluvatar 镜像的 config 分支
-#（harbor-contest.4pd.io/luopingyi/enginex-iluvatar-bi150/vllm:0.8.3）。
-# 本轮不提交 Mthreads_s4000（保留既有列表）/ ppu_zw_810e（机制B无白名单权限）/
-# Sunrise_pt-200-x1（v1.0.13已完成）
+# 本轮使用 2026-09-24 已成功下载、非量化、目标卡无验证记录，
+# 且其他卡至少一张「已验证」的模型：Biren(6)、Cambricon(179)、
+# Kunlunxin(180)、MetaX(40)，共 405 个 GPU/模型任务。
+# PPU 和 Hygon 已由 zhoushasha 策略提交，本轮不重复提交。
 GPU_JOBS: List[Tuple[str, List[str]]] = [
     ("MetaX_c-500",          METAX_MODELS),
     ("Kunlunxin_p-800",      KUNLUNXIN_MODELS),
-    ("hygon_k100-ai",        HYGON_MODELS),
     ("Cambricon_mlu-370-x8", CAMBRICON_MODELS),
-    ("Iluvatar_bi-150",      ILUVATAR_BI150_MODELS),
     ("Biren_166m",           BIREN_MODELS),
 ]
 TOTAL_MODELS = sum(len(models) for _, models in GPU_JOBS)
@@ -2054,6 +1570,7 @@ _state = {
     "submitted":         0,
     "failed":            0,
     "per_account":       {label: 0 for label, _, _ in ACTIVE_ACCOUNTS},
+    "per_gpu":           {gpu: 0 for gpu, _ in GPU_JOBS},
     "current_account":   ACTIVE_ACCOUNTS[0][0],
     "started_at":        None,
     "finished_at":       None,
@@ -2408,6 +1925,7 @@ def _run_worker():
 
             if submitted_ok:
                 _state["submitted"] += 1
+                _state["per_gpu"][gpu_type] += 1
                 successful.append(f"{gpu_type}\t{model_id}")
             else:
                 _state["failed"] += 1
@@ -2423,7 +1941,8 @@ def _run_worker():
     _state["phase"] = "done"
     print(
         f"[worker] 完成  submitted={_state['submitted']}  failed={_state['failed']}  "
-        f"total={_state['total']}  per_account={_state['per_account']}",
+        f"total={_state['total']}  per_account={_state['per_account']}  "
+        f"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
diff --git a/model_ids/Biren_166m_2026-09-24.txt b/model_ids/Biren_166m_2026-09-24.txt
new file mode 100644
index 0000000..b624b4f
--- /dev/null
+++ b/model_ids/Biren_166m_2026-09-24.txt
@@ -0,0 +1,6 @@
+kaividlabs/qwen3-4b-awq
+quyetdev/qwen3_8B_v3_fine_tuned_awq
+zerofata/MS3.2-PaintedFantasy-v3-24B
+ibm-granite/granite-4.1-30b
+HuggingFaceTB/SmolLM2-ablation-ultrachat-v2
+waltonfuture/qwen2.5vl-3b-32b-longest-5153
diff --git a/model_ids/Cambricon_mlu-370-x8_2026-09-24.txt b/model_ids/Cambricon_mlu-370-x8_2026-09-24.txt
new file mode 100644
index 0000000..ac40e67
--- /dev/null
+++ b/model_ids/Cambricon_mlu-370-x8_2026-09-24.txt
@@ -0,0 +1,179 @@
+kaividlabs/qwen3-4b-awq
+glins7/cashgo-role_classification
+futuredatascience/from-classifier-v1
+kowshik/upsc-classification-model-v1
+lewispons/large-email-classifier
+YouLiXiya/tinyllava-v1.0-1.1b-hf
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diff --git a/model_ids/Kunlunxin_p-800_2026-09-24.txt b/model_ids/Kunlunxin_p-800_2026-09-24.txt
new file mode 100644
index 0000000..4e72925
--- /dev/null
+++ b/model_ids/Kunlunxin_p-800_2026-09-24.txt
@@ -0,0 +1,180 @@
+glins7/cashgo-role_classification
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+TingChenChang/hpv-multi-qa-mpnet-zh
+Charul/my-dummy-model-1
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+valhalla/distilbart-mnli-12-9
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+edumunozsala/bertin-sts-cc-news-es
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+GPL/trec-news-msmarco-distilbert-gpl
+GPL/nq-msmarco-distilbert-gpl
+GPL/climate-fever-msmarco-distilbert-gpl
+GPL/newsqa-msmarco-distilbert-gpl
+ddobokki/unsup-simcse-klue-roberta-small
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+sentence-transformers/stsb-xlm-r-multilingual
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+sentence-transformers/roberta-base-nli-mean-tokens
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+iic/speech_UniASR_asr_2pass-cantonese-CHS-16k-common-vocab1468-tensorflow1-online
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diff --git a/model_ids/MetaX_c-500_2026-09-24.txt b/model_ids/MetaX_c-500_2026-09-24.txt
new file mode 100644
index 0000000..82de4f9
--- /dev/null
+++ b/model_ids/MetaX_c-500_2026-09-24.txt
@@ -0,0 +1,40 @@
+rewfueranro/Mechanical_lora
+PaperCloud/zju19_minguo_style_lora
+wangzai/autumn_bg_style_lora
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