submit 405 verified-elsewhere models across four GPUs

The six accounts dropped in v1.1.0 are back in ACCOUNTS so their tokens are not
lost. Which ones actually submit is now controlled by ACTIVE_ACCOUNT_LABELS,
currently the four requested for this round; set it to [] to rotate over all ten.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>

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），
+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。
-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
 

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）。
+（/api/adapt/task/add，xc-Token 认证）。本轮仅提交 2026-09-24 筛出的
-（本轮仅提交 MetaX_c-500 / hygon_k100-ai / Cambricon_mlu-370-x8 这 3 张卡；
+Biren_166m / Cambricon_mlu-370-x8 / Kunlunxin_p-800 / MetaX_c-500；
-Kunlunxin_p-800 / Biren_166m / Mthreads_s4000 的 config_content 与模型列表变量
+其他 GPU 的 config_content 与模型列表仍保留，但不列入本次 GPU_JOBS。
-仍保留在代码中，未列入本次 GPU_JOBS，可供后续复用）
 
-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
+提交账号按 ACTIVE_ACCOUNTS 平均轮转；若某账号命中额度限制 60007，
-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
+跳过该账号并尝试下一账号提交当前模型。
-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。
 
 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
@@ -41,506 +38,54 @@ HTTP_PORT = 8080
 # v1.0.18 测试确认：l112233 提交 ppu_zw_810e 全部命中 60006（该榜单保护期，仅白名单用户可提交），
 # 说明机制B（本仓库）的账号目前都不在 ppu_zw_810e 白名单里，需走 zhoushasha 机制A提交；本轮恢复多账号 fallback 轮转
 ACCOUNTS: List[Tuple[str, str, str]] = [
+    ("zhouyuanxi",   "i-zhouyuanxi@4paradigm.com", "62b9b487eff2488fb9f1da0b963f0b93"),
+    ("zhoukaile",    "zhoukaile",                  "bd7c52f3b9604ef48a14dd6174513935"),
     ("zhangyuanxi",  "zhangyuanxi",                "24ed39f7f0d84fafbe0ca808e62b191c"),
     ("jiajing",      "jiajing",                    "5e051e0ff8384a81af53bea780deb28a"),
+    ("jiangxiaowen", "jiangxiaowen",               "88d5fee9f1fe4f7583f11a9d3702dc85"),
+    ("miaoyao",      "miaoyao",                    "77033cee0fb549598cdd590be0d02983"),
+    ("zhao",         "zhao",                       "421e75fb54904eb3a131d5647f299b23"),
     ("l112233",      "l112233",                    "40cb6910dc9a442a816298a228da65ac"),
     ("l11223344",    "l11223344",                  "e1c0db2959e5411f9342c8550b03f6e9"),
+    ("keii",         "keii",                       "be99003a85f640d8978823a5a8e3f297"),
 ]
 
+# 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。
+# 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",
+]
+
+ACTIVE_ACCOUNTS: List[Tuple[str, str, str]] = (
+    [a for a in ACCOUNTS if a[0] in ACTIVE_ACCOUNT_LABELS]
+    if ACTIVE_ACCOUNT_LABELS else list(ACCOUNTS)
+)
+
 # ══════════════════════════════════════════════════════════
-#  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 = [
+MODEL_DIR = Path(__file__).resolve().parent / "model_ids"
-    "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",
-]
 
-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 = [
+def load_model_ids(filename: str) -> List[str]:
-    "emrevrg/Norovox-Alpha-MoE-7.0B",
+    model_ids = [
-    "emrevrg/Norovox-Alpha-MoE-1.2B",
+        line.strip()
-    "emrevrg/Norovox-Alpha-MoE-3.9B",
+        for line in (MODEL_DIR / filename).read_text(encoding="utf-8").splitlines()
-    "AI-ModelScope/granite-20b-code-base",
+        if line.strip()
-    "vllm-ascend/Qwen3-32B-w8a8sc-310-vllm-tp4",
+    ]
-    "KenDual3090tiNvlink/NVIDIA-Nemotron-Labs-3-Puzzle-75B-A9B-W4A16",
+    if not model_ids or len(model_ids) != len(set(model_ids)):
-    "AI-ModelScope/granite-20b-code-instruct-8k",
+        raise ValueError(f"模型列表为空或含重复 ID: {filename}")
-    "openbmb/MiniCPM4-8B-marlin-cpmcu",
+    return model_ids
-    "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",
-]
 
-CAMBRICON_MODELS = [
+
-    "emrevrg/Norovox-Alpha-MoE-7.0B",
+METAX_MODELS = load_model_ids("MetaX_c-500_2026-09-24.txt")
-    "emrevrg/Norovox-Alpha-MoE-1.2B",
+
-    "emrevrg/Norovox-Alpha-MoE-3.9B",
+KUNLUNXIN_MODELS = load_model_ids("Kunlunxin_p-800_2026-09-24.txt")
-    "AI-ModelScope/granite-20b-code-base",
+
-    "llm-jp/llm-jp-4-32b-a3b-thinking",
+BIREN_MODELS = load_model_ids("Biren_166m_2026-09-24.txt")
-    "vllm-ascend/Qwen3-32B-w8a8sc-310-vllm-tp4",
+
-    "YOYO-AI/ZYH-LLM-Qwen2.5-14B-V2",
+CAMBRICON_MODELS = load_model_ids("Cambricon_mlu-370-x8_2026-09-24.txt")
-    "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",
-]
 
 HYGON_MODELS = [
     "emrevrg/Norovox-Alpha-MoE-7.0B",
@@ -2001,25 +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) /
+# 本轮使用 2026-09-24 已成功下载、非量化、目标卡无验证记录，
-# hygon_k100-ai(811) / Cambricon_mlu-370-x8(188) / Iluvatar_bi-150(75) /
+# 且其他卡至少一张「已验证」的模型：Biren(6)、Cambricon(179)、
-# Biren_166m(99)，共 1366 个。
+# 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。
-# 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）
 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)
@@ -2035,8 +1569,9 @@ _state = {
     "total":             TOTAL_MODELS,
     "submitted":         0,
     "failed":            0,
-    "per_account":       {label: 0 for label, _, _ in ACCOUNTS},
+    "per_account":       {label: 0 for label, _, _ in ACTIVE_ACCOUNTS},
-    "current_account":   ACCOUNTS[0][0],
+    "per_gpu":           {gpu: 0 for gpu, _ in GPU_JOBS},
+    "current_account":   ACTIVE_ACCOUNTS[0][0],
     "started_at":        None,
     "finished_at":       None,
 }
@@ -2358,17 +1893,17 @@ def _run_worker():
             if _shutdown.is_set():
                 break
 
-            if len(exhausted) >= len(ACCOUNTS):
+            if len(exhausted) >= len(ACTIVE_ACCOUNTS):
                 print(f"⏭️ 所有账号额度已用尽，跳过: {model_id} ({gpu_type})", flush=True)
                 _state["failed"] += 1
                 continue
 
             submitted_ok = False
             # 从当前轮转位置起，最多把 4 个账号各试一遍
-            for _ in range(len(ACCOUNTS)):
+            for _ in range(len(ACTIVE_ACCOUNTS)):
-                idx = rr % len(ACCOUNTS)
+                idx = rr % len(ACTIVE_ACCOUNTS)
                 rr += 1
-                label, _account, token = ACCOUNTS[idx]
+                label, _account, token = ACTIVE_ACCOUNTS[idx]
                 if label in exhausted:
                     continue
                 _state["current_account"] = label
@@ -2381,7 +1916,7 @@ def _run_worker():
                     break
                 elif code == 60007:
                     exhausted.add(label)
-                    print(f"⛔ 账号 [{label}] 提交额度已满，本轮不再使用（已满 {len(exhausted)}/{len(ACCOUNTS)}）", flush=True)
+                    print(f"⛔ 账号 [{label}] 提交额度已满，本轮不再使用（已满 {len(exhausted)}/{len(ACTIVE_ACCOUNTS)}）", flush=True)
                     continue
                 else:
                     # 模型自身问题（重复提交/唯一性等），换账号也没用，直接跳过
@@ -2390,6 +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
@@ -2405,7 +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

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

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
+javiervela/sentence-transformers_distiluse-base-multilingual-cased-v2_50-50_all-v2_sequence_oaei_final
+Vishwas/intent_classification
+mrm8488/setfit-mpnet-base-v2-finetuned-spam-detection
+kornwtp/ConGen-RoBERTa-base
+kornwtp/ConGen-BERT-Small
+kornwtp/ConGen-TinyBERT-L4
+kornwtp/ConGen-BERT-Mini
+kornwtp/ConGen-BERT-Tiny
+TingChenChang/cMedQA2-multi-qa-mpnet-zh
+dvilasuero/my-test-setfit
+mrm8488/setfit-mpnet-base-v2-finetuned-sentEval-CR
+jamescalam/mpnet-nli-sts
+jamescalam/mpnet-snli-negatives
+teven/cross_all-mpnet-base-v2_finetuned_WebNLG2020_correctness
+firqaaa/indo-sentence-bert-base
+income/bpr-gpl-scifact-base-msmarco-distilbert-tas-b
+ceggian/sbert_standard_reddit_mnr
+DMetaSoul/sbert-chinese-qmc-domain-v1-distill
+sentence-transformers/msmarco-distilbert-base-v4
+DMetaSoul/sbert-chinese-qmc-domain-v1
+mariolux/sherpa-onnx-telespeech-ctc-zh-2024-06-04
+whaleloops/phrase-bert
+valurank/paraphrase-mpnet-base-v2-offensive
+usc-isi/sbert-roberta-large-anli-mnli-snli
+uer/sbert-base-chinese-nli
+symanto/sn-xlm-roberta-base-snli-mnli-anli-xnli
+symanto/sn-mpnet-base-snli-mnli
+sentence-transformers/xlm-r-bert-base-nli-stsb-mean-tokens
+sentence-transformers/xlm-r-bert-base-nli-mean-tokens
+sentence-transformers/xlm-r-100langs-bert-base-nli-stsb-mean-tokens
+sentence-transformers/xlm-r-100langs-bert-base-nli-mean-tokens
+sentence-transformers/stsb-roberta-large
+sentence-transformers/stsb-roberta-base
+sentence-transformers/stsb-roberta-base-v2
+sentence-transformers/stsb-distilroberta-base-v2
+sentence-transformers/stsb-distilbert-base
+sentence-transformers/sentence-t5-xxl
+sentence-transformers/sentence-t5-xl
+sentence-transformers/sentence-t5-base
+sentence-transformers/roberta-large-nli-stsb-mean-tokens
+sentence-transformers/roberta-large-nli-mean-tokens
+sentence-transformers/roberta-base-nli-mean-tokens
+sentence-transformers/quora-distilbert-base
+sentence-transformers/paraphrase-distilroberta-base-v2
+sentence-transformers/paraphrase-distilroberta-base-v1
+sentence-transformers/paraphrase-albert-small-v2
+sentence-transformers/paraphrase-albert-base-v2
+sentence-transformers/paraphrase-TinyBERT-L6-v2
+sentence-transformers/nli-roberta-large
+sentence-transformers/nli-roberta-base
+sentence-transformers/nli-roberta-base-v2
+sentence-transformers/nli-distilroberta-base-v2
+iic/speech_UniASR_asr_2pass-zh-cn-16k-common-vocab8358-tensorflow1-online
+iic/speech_UniASR_asr_2pass-ru-16k-common-vocab1664-tensorflow1-online
+iic/speech_UniASR_asr_2pass-id-16k-common-vocab1067-tensorflow1-online
+iic/speech_UniASR_asr_2pass-he-16k-common-vocab1085-pytorch
+iic/speech_UniASR_asr_2pass-en-16k-common-vocab1080-tensorflow1-online
+sentence-transformers/nli-distilbert-base
+sentence-transformers/nli-bert-large
+sentence-transformers/gtr-t5-xxl
+sentence-transformers/gtr-t5-xl
+dengcunqin/speech_seaco_paraformer_large_asr_nat-zh-cantonese-en-16k-common-vocab11666-pytorch
+sentence-transformers/nli-bert-large-cls-pooling
+Mozilla/llava-v1.5-7b-llamafile
+MathLLMs/MathCoder-VL-2B
+Mantis-VL/llava_siglip_llama3_8b_finetune_8192
+sentence-transformers/nli-bert-base-cls-pooling
+sentence-transformers/multi-qa-distilbert-dot-v1
+sentence-transformers/multi-qa-distilbert-cos-v1
+sentence-transformers/msmarco-distilbert-dot-v5
+sentence-transformers/msmarco-distilbert-cos-v5
+sentence-transformers/msmarco-distilbert-base-v2
+sentence-transformers/msmarco-distilbert-base-dot-prod-v3
+sentence-transformers/msmarco-bert-co-condensor
+sentence-transformers/msmarco-bert-base-dot-v5
+ydyajyA/Llama-2-13b-hf
+sentence-transformers/gtr-t5-large
+q2792046875/internVL1B
+muse/openai-clip-vit-large-patch14
+sentence-transformers/gtr-t5-base
+sentence-transformers/facebook-dpr-question_encoder-single-nq-base
+sentence-transformers/facebook-dpr-question_encoder-multiset-base
+sentence-transformers/distilbert-base-nli-stsb-quora-ranking
+llava-hf/llava-v1.6-vicuna-7b-hf
+sentence-transformers/facebook-dpr-ctx_encoder-multiset-base
+jinaai/jina-embeddings-v3
+sentence-transformers/distilroberta-base-msmarco-v1
+sentence-transformers/distilroberta-base-msmarco-v2
+sentence-transformers/distilbert-base-nli-mean-tokens
+Vchitect/ShotVL-3B
+Qwen/Qwen3-VL-2B-Thinking
+OpenGVLab/VideoChat-R1_7B
+yasserrmd/deepseek-esg-assistant
+Bingdo/dcug_pdf_mixtral_nemo_base_12b
+unsloth/gemma-3-4b-it
+unsloth/gemma-3-12b-it
+theprint/phi-3-mini-4k-gamedev
+simonlesaumon/Mistral-NeMo-12B-Unslopper-FR-v1
+reedmayhew/gemma3-12B-claude-3.7-sonnet-reasoning-distilled
+starVLA/Qwen3-VL-4B-Instruct-Action
+mistralai/Pixtral-12B-2409
+mlfoundations-cua-dev/qwen2_5vl_7b_easyr1_10k_hard_qwen7b_easy_gta17b_or_segui3b-4MP
+mlfoundations-cua-dev/qwen2_5vl_7b_easyr1_10k_hard_segui3b_easy_gta1-4MP
+DaDing777/qwen2.5-VL-3B-atm-finetune-cot-full
+waltonfuture/qwen2.5vl-3b-aha-7b-distilled
+mlfoundations-cua-dev/qwen2_5vl_3b_sft_idm_how_to_onannel_agent_sft_data_local_bs_4_epochs_3
+waltonfuture/qwen2.5vl-3b-best
+jeremyhola/LORAs
+osanseviero/clip-st
+HuggingFaceTB/SmolLM2-ablation-ultrachat-v2
+new5558/simcse-model-wangchanberta-base-att-spm-uncased
+navteca/multi-qa-mpnet-base-cos-v1
+navteca/all-mpnet-base-v2
+nanopass/test-model-fe
+mrp/simcse-model-m-bert-thai-cased
+mrm8488/roberta-base-bne-finetuned-sqac-retriever
+laion/openthoughts-4-code-qwen3-32b-annotated-32k_qwen3-1.7B_32k
+OpenGVLab/InternVL3-1B-Instruct
+OpenGVLab/InternVL2_5-8B-MPO
+OpenGVLab/InternVL2_5-2B-MPO
+OpenGVLab/InternVL2_5-2B
+sakares/wav2vec2-large-xlsr-thai-demo
+cahya/wav2vec2-large-xlsr-indonesian
+indonesian-nlp/wav2vec2-large-xlsr-indonesian-baseline
+indonesian-nlp/wav2vec2-large-xlsr-indonesian
+m3hrdadfi/wav2vec2-large-xlsr-persian-v3
+nguyenvulebinh/wav2vec2-base-vietnamese-250h
+airesearch/wav2vec2-large-xlsr-53-th
+indonesian-nlp/wav2vec2-indonesian-javanese-sundanese
+ctl/wav2vec2-large-xlsr-cantonese
+jonatasgrosman/wav2vec2-large-xlsr-53-persian
+jonatasgrosman/wav2vec2-large-xlsr-53-arabic
+muzamil47/wav2vec2-large-xlsr-53-arabic-demo
+prithivMLmods/Qwen2-VL-OCR-2B-Instruct
+waltonfuture/qwen2.5vl-3b-sampled_10000_qwen2.5vl_sc
+waltonfuture/qwen2.5vl-3b-sampled_5000_qwen2.5vl32b
+MBZUAI/Qwen-2.5-VL-Instruct-3B-Pointwise-DFJ
+waltonfuture/qwen2.5vl-3b-rl-sft
+waltonfuture/qwen2.5vl-3b-sampled_10000_reflection-cot-7b
+waltonfuture/qwen2.5vl-3b-32b_shuffle
+waltonfuture/qwen2.5vl-3b-caption-cot-7b
+waltonfuture/qwen2.5vl-3b-32b-longest-5153
+waltonfuture/qwen2.5vl-3b-self-critic-cot
+waltonfuture/qwen2.5vl-3b-sampled_10000_mixed-reflection-cot-32b
+waltonfuture/qwen2.5vl-3b-sampled_15000_reflection-cot-32b
+kresnik/wav2vec2-large-xlsr-korean
+mlfoundations-cua-dev/qwen2_5vl_3b_sft_unified_idm_data_with_new_idm_data_2_frames_local_bs_1
+zhaokaikai/Qwen2.5-VL-3B-Instruct-Traffic
+waltonfuture/qwen2.5vl-3b-32b-longest-25767
+waltonfuture/qwen2.5vl-3b-32b-wrong-response
+waltonfuture/qwen2.5vl-3b-sampled_all_qwen2.5vl32b
+OpenMed/Qwen2.5-3B-MedVL
+maxidl/wav2vec2-large-xlsr-german
+imvladikon/wav2vec2-xls-r-300m-hebrew
+dbdmg/wav2vec2-xls-r-300m-italian-robust
+mikr/whisper-large-v3-czech-cv13
+prithivMLmods/ChemQwen-vL
+ocordeiro/w2v-bert-2.0-portuguese-colab-CV16.0
+jyyyyy67/Llama3.1-8B_weak-minded_Bar_LoRA
+whitefox123/w2v-bert-2.0-arabic-4
+Finnish-NLP/wav2vec2-xlsr-1b-finnish-lm-v2
+01ai/Yi-VL-6B
+AI-ModelScope/bert-base-uncased
+Qwen/Qwen3-VL-4B-Instruct
+Bidwill/whisper-small-sanskrit
+Baraa123R/whisper-finetuned-TheArabMaghreb2
+Apel-sin/whisper-large-v3-russian-ties-podlodka-v1.2
+Finnish-NLP/wav2vec2-xlsr-300m-finnish-lm
+GetmanY1/wav2vec2-large-fi-150k-finetuned
+groxaxo/octen-embedding-8b-w4a16
+unsloth/orpheus-3b-0.1-ft
+cvis-tmu/qwen2_5vl-7b-lora-sft-Scene30k_traineval_426steps_merged
+ayoubkirouane/whisper-small-ar

model_ids/Kunlunxin_p-800_2026-09-24.txt

@@ -0,0 +1,180 @@
+glins7/cashgo-role_classification
+futuredatascience/from-classifier-v1
+kowshik/upsc-classification-model-v1
+YouLiXiya/tinyllava-v1.0-1.1b-hf
+javiervela/sentence-transformers_distiluse-base-multilingual-cased-v2_50-50_all-v2_sequence_oaei_final
+Vishwas/intent_classification
+airnicco8/xlm-roberta-en-it-de
+tubyneto/wandss-bert
+nategro/nps-mpnet-lds
+mrm8488/setfit-mpnet-base-v2-finetuned-spam-detection
+kornwtp/ConGen-RoBERTa-base
+kornwtp/ConGen-TinyBERT-L6
+kornwtp/ConGen-BERT-Small
+kornwtp/ConGen-TinyBERT-L4
+kornwtp/ConGen-BERT-Tiny
+TingChenChang/hpv-multi-qa-mpnet-zh
+Charul/my-dummy-model-1
+TingChenChang/cMedQA2-multi-qa-mpnet-zh
+dvilasuero/my-test-setfit
+dvilasuero/setfit-mini-imdb
+mrm8488/setfit-mpnet-base-v2-finetuned-sentEval-CR
+bongsoo/moco-sentencedistilbertV2.1
+jamescalam/mpnet-nli-sts
+TingChenChang/hpvqa-lcqmc-ocnli-cnsd-multi-MiniLM-v2
+TingChenChang/lcqmc-ocnli-cnsd-multi-MiniLM-v2
+teven/cross_all-mpnet-base-v2_finetuned_WebNLG2020_data_coverage
+valhalla/distilbart-mnli-12-9
+teven/cross_all-mpnet-base-v2_finetuned_WebNLG2020_correctness
+jamescalam/mpnet-qa
+jamescalam/deberta-v3-base-qa
+firqaaa/indo-sentence-bert-base
+bongsoo/moco-sentencebertV2.0
+smartmind/roberta-ko-small-tsdae
+aiknowyou/all-mpnet-base-questions-clustering-en
+lewtun/dummy-setfit-model
+TingChenChang/qqp-nli-training-paraphrase-multilingual-MiniLM-L12-v2
+bongsoo/moco-sentencedistilbertV2.0
+edumunozsala/bertin-sts-cc-news-es
+smartmind/ko-sbert-augSTS-maxlength512
+spacemanidol/esci-es-mpnet-crossencoder
+spacemanidol/esci-mpnet-crossencoder
+embedding-data/distilroberta-base-sentence-transformer
+sdadas/st-polish-paraphrase-from-mpnet
+sorayutmild/simcse-model-wangchanberta-finetuned-sanook-news
+aiknowyou/aiky-sentence-bertino
+NimaBoscarino/STPushToHub-test
+alfaneo/bertimbaulaw-base-portuguese-sts
+WalidLak/Testmodel
+shafin/distilbert-similarity-b32-3
+guidecare/all-mpnet-base-v2-feature-extraction
+income/bpr-gpl-climate-fever-base-msmarco-distilbert-tas-b
+income/bpr-gpl-hotpotqa-base-msmarco-distilbert-tas-b
+income/bpr-gpl-nfcorpus-base-msmarco-distilbert-tas-b
+income/bpr-gpl-scifact-base-msmarco-distilbert-tas-b
+income/bpr-gpl-webis-touche2020-base-msmarco-distilbert-tas-b
+ITESM/sentece-embeddings-BETO
+espejelomar/sentece-embeddings-BETO
+ceggian/sbert_pt_reddit_mnr_128
+ceggian/sbert_pt_reddit_softmax_512
+GPL/bioasq-msmarco-distilbert-gpl
+GPL/nfcorpus-tsdae-msmarco-distilbert-gpl
+GPL/dbpedia-entity-tsdae-msmarco-distilbert-gpl
+GPL/quora-distilbert-tas-b-gpl-self_miner
+ceggian/sbert_standard_reddit_mnr
+snunlp/KR-SBERT-V40K-klueNLI-augSTS
+GPL/trec-news-tsdae-msmarco-distilbert-gpl
+GPL/fever-tsdae-msmarco-distilbert-gpl
+GPL/dbpedia-entity-msmarco-distilbert-gpl
+mrp/SimCSE-model-WangchanBERTa-V2
+GPL/scifact-distilbert-tas-b-gpl-self_miner
+sentence-transformers/stsb-bert-large
+sentence-transformers/stsb-bert-base
+sentence-transformers/sentence-t5-large
+sentence-transformers/quora-distilbert-multilingual
+GPL/arguana-tsdae-msmarco-distilbert-gpl
+GPL/trec-covid-msmarco-distilbert-gpl
+GPL/webis-touche2020-msmarco-distilbert-gpl
+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
+GPL/arguana-msmarco-distilbert-gpl
+sentence-transformers/use-cmlm-multilingual
+bespin-global/klue-sroberta-base-continue-learning-by-mnr
+somosnlp-hackathon-2022/paraphrase-spanish-distilroberta
+somosnlp-hackathon-2022/bertin-roberta-base-finetuning-esnli
+sentence-transformers/xlm-r-base-en-ko-nli-ststb
+sentence-transformers/multi-qa-mpnet-base-dot-v1
+sentence-transformers/msmarco-distilbert-base-v4
+morethankk/ThermalGuard-v1_4
+DMetaSoul/sbert-chinese-dtm-domain-v1
+moshew/paraphrase-mpnet-base-v2_SetFit_sst2
+mariolux/sherpa-onnx-whisper-tiny
+mariolux/sherpa-onnx-whisper-small
+mariolux/sherpa-onnx-telespeech-ctc-zh-2024-06-04
+whaleloops/phrase-bert
+mariolux/sherpa-onnx-fire-red-asr-large-zh_en-2025-02-16
+longvideotool/LongVT-SFT
+valurank/paraphrase-mpnet-base-v2-offensive
+symanto/sn-xlm-roberta-base-snli-mnli-anli-xnli
+sentence-transformers/xlm-r-bert-base-nli-mean-tokens
+sentence-transformers/xlm-r-100langs-bert-base-nli-stsb-mean-tokens
+sentence-transformers/xlm-r-100langs-bert-base-nli-mean-tokens
+sentence-transformers/stsb-xlm-r-multilingual
+sentence-transformers/stsb-roberta-base
+sentence-transformers/stsb-roberta-base-v2
+sentence-transformers/stsb-mpnet-base-v2
+sentence-transformers/stsb-distilroberta-base-v2
+sentence-transformers/stsb-distilbert-base
+sentence-transformers/sentence-t5-xxl
+sentence-transformers/roberta-large-nli-stsb-mean-tokens
+sentence-transformers/roberta-large-nli-mean-tokens
+sentence-transformers/roberta-base-nli-stsb-mean-tokens
+sentence-transformers/roberta-base-nli-mean-tokens
+sentence-transformers/quora-distilbert-base
+sentence-transformers/paraphrase-xlm-r-multilingual-v1
+sentence-transformers/paraphrase-mpnet-base-v2
+sentence-transformers/paraphrase-distilroberta-base-v1
+sentence-transformers/paraphrase-albert-small-v2
+sentence-transformers/paraphrase-MiniLM-L3-v2
+sentence-transformers/paraphrase-MiniLM-L12-v2
+sentence-transformers/nli-roberta-large
+sentence-transformers/nli-roberta-base
+sentence-transformers/nli-roberta-base-v2
+sentence-transformers/nli-mpnet-base-v2
+sentence-transformers/nli-distilroberta-base-v2
+iic/speech_conformer_asr_nat-zh-cn-16k-aishell1-vocab4234-pytorch
+iic/speech_UniASR_asr_2pass-zh-cn-16k-common-vocab8358-tensorflow1-online
+iic/speech_UniASR_asr_2pass-ru-16k-common-vocab1664-tensorflow1-online
+iic/speech_UniASR_asr_2pass-id-16k-common-vocab1067-tensorflow1-online
+iic/speech_UniASR_asr_2pass-he-16k-common-vocab1085-pytorch
+iic/speech_UniASR_asr_2pass-en-16k-common-vocab1080-tensorflow1-online
+iic/speech_UniASR_asr_2pass-cantonese-CHS-16k-common-vocab1468-tensorflow1-online
+sentence-transformers/nli-distilbert-base
+sentence-transformers/nli-bert-large
+sentence-transformers/multi-qa-mpnet-base-cos-v1
+sentence-transformers/gtr-t5-xxl
+sentence-transformers/gtr-t5-xl
+dengcunqin/speech_seaco_paraformer_large_asr_nat-zh-cantonese-en-16k-common-vocab11666-pytorch
+Mozilla/llava-v1.5-7b-llamafile
+sentence-transformers/multi-qa-MiniLM-L6-dot-v1
+Deeps03/qwen2-1.5b-log-classifier
+sentence-transformers/msmarco-distilbert-cos-v5
+sentence-transformers/msmarco-distilbert-base-v2
+sentence-transformers/msmarco-distilbert-base-dot-prod-v3
+sentence-transformers/msmarco-bert-base-dot-v5
+sentence-transformers/msmarco-MiniLM-L6-v3
+sentence-transformers/msmarco-MiniLM-L12-v3
+sentence-transformers/gtr-t5-large
+q2792046875/internVL1B
+muse/openai-clip-vit-large-patch14
+sentence-transformers/gtr-t5-base
+sentence-transformers/facebook-dpr-question_encoder-single-nq-base
+sentence-transformers/facebook-dpr-question_encoder-multiset-base
+sentence-transformers/distilbert-base-nli-stsb-quora-ranking
+Vchitect/ShotVL-3B
+Bingdo/dcug_pdf_mixtral_nemo_base_12b
+unsloth/gemma-3-4b-it
+unsloth/gemma-3-12b-it
+reedmayhew/gemma3-12B-claude-3.7-sonnet-reasoning-distilled
+starVLA/Qwen3-VL-4B-Instruct-Action
+mistralai/Pixtral-12B-2409
+mlfoundations-cua-dev/qwen2_5vl_7b_easyr1_10k_hard_qwen7b_easy_gta17b_or_segui3b-4MP
+mlfoundations-cua-dev/qwen2_5vl_7b_easyr1_10k_hard_segui3b_easy_gta1-4MP
+DaDing777/qwen2.5-VL-3B-atm-finetune-cot-full
+mlfoundations-cua-dev/qwen2_5vl_3b_sft_idm_how_to_onannel_agent_sft_data_local_bs_4_epochs_3
+osanseviero/clip-st
+HuggingFaceTB/SmolLM2-ablation-ultrachat-v2
+new5558/simcse-model-wangchanberta-base-att-spm-uncased
+navteca/multi-qa-mpnet-base-cos-v1
+navteca/all-mpnet-base-v2
+NaClNeZn/Qwen3-1.7B-QLoRA-Shizuku-v1
+waltonfuture/qwen2.5vl-3b-sampled_5000_qwen2.5vl32b
+MBZUAI/Qwen-2.5-VL-Instruct-3B-Pointwise-DFJ
+waltonfuture/qwen2.5vl-3b-32b-longest-5153
+mlfoundations-cua-dev/qwen2_5vl_3b_sft_unified_idm_data_with_new_idm_data_2_frames_local_bs_1
+ocordeiro/w2v-bert-2.0-portuguese-colab-CV16.0
+whitefox123/w2v-bert-2.0-arabic-4
+unsloth/orpheus-3b-0.1-ft

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
+kaividlabs/qwen3-4b-awq
+zerofata/MS3.2-PaintedFantasy-v3-24B
+AI-ModelScope/Qwen2vl-Flux
+NastasiaM/mbert-loraxs-qa-vanilla
+muse/flux1-redux-dev
+muse/flux1-canny-dev-lora
+iic/multi-modal_chinese_stable_diffusion_v1.0
+iic/cv_diffusion_text-to-image-synthesis_tiny
+iic/cv_cartoon_stable_diffusion_illustration
+amd/stable-diffusion-1.5_io32_amdgpu
+MusePublic/89_lora_SD_XL
+MAILAND/loco-flux-2.5
+EnlZhao/deer_lora
+AI-ModelScope/t2iadapter_zoedepth_sd15v1
+AI-ModelScope/t2iadapter_sketch_sd15v2
+AI-ModelScope/t2iadapter_seg_sd14v1
+AI-ModelScope/t2iadapter_depth_sd14v1
+AI-ModelScope/t2iadapter_canny_sd15v2
+AI-ModelScope/t2iadapter_canny_sd14v1
+AI-ModelScope/t2i-adapter-sketch-sdxl-1.0
+AI-ModelScope/t2i-adapter-openpose-sdxl-1.0
+AI-ModelScope/t2i-adapter-lineart-sdxl-1.0
+AI-ModelScope/t2i-adapter-depth-midas-sdxl-1.0
+AI-ModelScope/t2i-adapter-canny-sdxl-1.0
+AI-ModelScope/sdxl-vae-fp16-fix
+AI-ModelScope/controlnet-depth-sdxl-1.0-small
+AI-ModelScope/controlnet-depth-sdxl-1.0-mid
+AI-ModelScope/controlnet-canny-sdxl-1.0-small
+stabilityai/stable-diffusion-3-medium_amdgpu
+stabilityai/stable-diffusion-2-1-base
+AI-ModelScope/t2iadapter_keypose_sd14v1
+AI-ModelScope/controlnet-union-sdxl-1.0-promax
+ibm-granite/granite-4.1-30b
+waltonfuture/qwen2.5vl-3b-32b-longest-5153
+jyyyyy67/Llama3.1-8B_weak-minded_Bar_LoRA
+AI-ModelScope/controlnet-canny-sdxl-1.0
+cvis-tmu/qwen2_5vl-7b-lora-sft-Scene30k_traineval_426steps_merged