submit 338 nonquantized candidates on PPU and Hygon

Candidate pool is the 24711 already-downloaded models, which satisfies
mechanism A's precondition that the model be present in platform storage.

Strict and relaxed condition-2 give identical results this round: of the 24007
pooled models with verify records, 24006 already have 已验证 on some card, so
relaxing to include 验证中 adds just one. The binding constraint is now how few
models lack a record on each card - Kunlunxin_p-800, Cambricon_mlu-370-x8 and
Iluvatar_bi-150 are all at zero and are left out of GPU_JOBS.

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

README.md

@@ -2,10 +2,13 @@
 
 批量向 ModelHub XC 平台提交模型验证任务的策略服务，之后保持 HTTP 服务存活供平台探活。
 
+当前批次使用 2026-09-24 的成功下载模型清单，经非量化过滤后，要求目标 GPU 无验证记录、至少一张其他 GPU 的状态为「已验证」。仅提交 `ppu_zw_810e` 的 17 个模型和 `hygon_k100-ai` 的 321 个模型，共 338 个任务；上一批模型不会重复提交。
+
 ## 功能
 
-- 自动登录 ModelHub 获取 Token
-- 批量提交模型验证任务（vLLM 框架，Cambricon MLU-370-x8）
+- 使用 `AUTH_TOKEN` 环境变量（未提供时使用 `main.py` 中的预设 Bearer Token）向 `zhoushasha` 账号提交任务
+- 分 GPU 读取 `model_ids/` 中的模型清单，批量提交 vLLM 验证任务
+- 账号额度暂满时，每 30 分钟重试尚未提交的模型
 - 提交结果写入 `submitted_validation_tasks.txt`
 - 暴露 `/health` 和 `/status` 接口满足平台运行时契约
 
@@ -14,6 +17,7 @@
 ```
 .
 ├── main.py            # 主入口：HTTP 服务 + 提交逻辑
+├── model_ids/         # 本批次两张 GPU 的模型 ID 清单
 ├── Dockerfile         # 平台镜像构建配置
 ├── requirements.txt   # Python 依赖
 └── submitted_validation_tasks.txt   # 运行后自动生成，记录提交结果
@@ -27,3 +31,5 @@
 - 暴露 8080 端口并实现 `GET /health`
 - 通过环境变量 `STRATEGY_ID` 获取策略 ID
 - 正确处理 `SIGTERM` 信号，支持优雅停机
+
+预设 Bearer Token 于 2026-10-01 22:13（北京时间）到期；届时如需再次运行，应更新 `AUTH_TOKEN`。

main.py

@@ -1,9 +1,9 @@
 """
 xc_validation_strategy — 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验证任务
-（当前仅提交 ppu_zw_810e，其余 4 张卡 Biren_166m/Cambricon_mlu-370-x8/MetaX_c-500/
-Kunlunxin_p-800 的 config_content 模板和模型列表仍保留在代码中，未列入本次 GPU_JOBS）
+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验证任务。
+本轮仅提交 ppu_zw_810e 和 hygon_k100-ai 的 2026-09-24 非量化候选清单；
+其他 GPU 的 config_content 模板仍保留，但未列入 GPU_JOBS。
 （/adminApi/async/task/create-contest-task，
 Bearer Token 认证），之后保持 HTTP 服务存活。
 
@@ -22,6 +22,7 @@ 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
@@ -33,7 +34,7 @@ BASE_URL           = os.environ.get("BASE_URL", "https://modelhub.org.cn")
 SUBMIT_ENDPOINT    = "/adminApi/async/task/create-contest-task"
 
 # 通过 curl -X POST https://modelhub.org.cn/adminApi/user/login 获取后填入
-AUTH_TOKEN        = "eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJ1c2VyQWNjb3VudCI6Inpob3VzaGFzaGEiLCJpZCI6MTQsInVzZXJSb2xlIjoibGVhZGVyYm9hcmQiLCJleHAiOjE3OTAwNjkxMjAsImlhdCI6MTc4OTQ2NDMyMH0.KzJac6ddaZdtLvjD6ZnoK1PNEKFoXdyDn9Hh4FxU9ic"
+AUTH_TOKEN        = os.environ.get("AUTH_TOKEN", "eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJ1c2VyQWNjb3VudCI6Inpob3VzaGFzaGEiLCJpZCI6MTQsInVzZXJSb2xlIjoibGVhZGVyYm9hcmQiLCJleHAiOjE3OTA4NjQwMDMsImlhdCI6MTc5MDI1OTIwM30.T23Tp3xcI8kkKIOwRCXmZlpe3Qo3sOIxZ8n6NbzJJ2M")
 CONTEST_API_TOKEN = "ef1ef82f3c9efee413d602345fbe224d"
 CONTRIBUTORS      = "zhoushasha"
 TASK_TYPE         = "text-generation"
@@ -43,260 +44,45 @@ HTTP_HOST = "0.0.0.0"
 HTTP_PORT = 8080
 
 # ══════════════════════════════════════════════════════════
-#  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
 # ══════════════════════════════════════════════════════════
+MODEL_DIR = Path(__file__).resolve().parent / "model_ids"
+
+
+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
+
+
 BIREN_MODELS = [
-    "ApolloRaines/Phi-4-mini-Instruct-Desyced",
-    "allenai/OLMo-2-0425-1B",
-    "Free2035/4QDR_4B_AD_Thinker_V1",
-    "aifoundry-org/OLMo-7B-0424-hf-Quantized",
-    "lugman-madhiai/Qwen3-4B-MHS-1.1",
-    "zypchn/BehChat-SFT-v4",
-    "NoesisLab/Kai-30B-Instruct",
-    "barandinho/Qwen3-30B-A3B-FIRST-STAGE-SFT",
-    "m-a-p/OpenLLaMA-Reproduce-218.1B",
-    "xiaolesu/Qwen3-8B-Herald-SFT",
-    "WhiteRabbitNeo/WhiteRabbitNeo-33B-v1.5",
-    "saleh1312/orph_3.07225",
-    "vanta-research/atom-olmo3-7b",
-    "ZhipuAI/LongCite-glm4-9b",
-    "Xlnk/LFM2-2.6B-Exp-GGuf",
-    "Tesslate/UIGEN-T1.1-Qwen-14B",
-    "jondurbin/bagel-dpo-34b-v0.2",
-    "zhengr/MixTAO-7Bx2-MoE-Instruct-v5.0",
-    "allenai/Olmo-3.1-32B-Instruct",
-    "bjaidi/Phi-3-medium-128k-instruct-awq",
-    "xing720310/qwen3-14b",
-    "IntelLabs/sqft-mistral-7b-v0.3-50-base-gptq",
-    "hariharanv04/qwen2.5-coder-14b-metadata-merged",
-    "junfengzhou/qwen3-14b-rl",
-    "ronnywebdevs1/Affine-P011-5CkU7wLMWXPs6TdSsMf8eEYCVAbPLyNmYg9PPx1Uds8toKra",
-    "kennedyantonio0301/Affine-Tensor-h3-5EkdoaCmEpFffUjDpLhDMzEDR4kptaEzpTPYCP1uL2sbct8C",
-    "julep-ai/dolphin-2.9-llama3-70b-awq",
-    "cortexso/gemma3",
-    "jacob-ml/jacob-24b",
-    "lyraaaa/neuralese-sft-pretrain-v2",
-    "ai-sage/GigaChat-20B-A3B-instruct-bf16",
-    "PJMixers-Dev/gemma-3-1b-it-fixed",
-    "commotion/svara_finetune_v1",
-    "geoffmunn/Qwen3-14B-f16",
-    "geoffmunn/Qwen3-32B-f16",
-    "TeichAI/Nemotron-Cascade-14B-Thinking-Claude-4.5-Opus-High-Reasoning-Distill",
-    "prithivMLmods-llamafile/SmolLM2-1.7B-Instruct-llamafile",
-    "prithivMLmods-llamafile/Llama-3.2-8B-llamafile-200K",
-    "llamafile-club/SmolLM-135M-Instruct-Llamafile",
-    "prithivMLmods/Sombrero-QwQ-32B-Elite9",
-    "prithivMLmods-llamafile/Aya-Expanse-8B-llamafile",
-    "llamafile-club/SmolLM-135M-Llamafile",
-    "prithivMLmods/Sombrero-QwQ-32B-Elite10-Fixed",
-    "prithivMLmods-llamafile/Qwen2.5-Coder-1.5B-llamafile",
-    "TeichAI/Qwen3-14B-Polaris-Alpha-Distill",
-    "okwinds/MiroThinker-14B-DPO-v0.1",
-    "sanbuphy/tianji-wish2-14b",
-    "codefuse-ai/CodeFuse-StarCoder2-15B",
-    "AI-ModelScope/txgemma-27b-chat",
-    "Shanghai_AI_Laboratory/internlm3-8b-instruct-awq",
-    "XGenerationLab/XiYanSQL-QwenCoder-32B-2412",
-    "vllm-ascend/gemma-1.1-2b-it",
-    "OpenBuddy/openbuddy-qwen1.5-32b-v21.2-32k",
-    "OpenBuddy/openbuddy-thinker-32b-v26-preview",
-    "OpenBuddy/openbuddy-qwen1.5-32b-v21.1-32k",
-    "TechxGenus-MS/CodeGemma-7b",
-    "OpenBuddy/openbuddy-qwq-32b-v25.2q-200k",
-    "unsloth/Qwen3-30B-A3B",
-    "OpenBuddy/openbuddy-qwq-32b-v25.1-200k",
-    "OpenBuddy/openbuddy-r1-32b-v24.1-200k",
-    "iic/ERank-14B",
-    "OpenBuddy/openbuddy-yi1.5-34b-v21.2-32k",
-    "LGAI-EXAONE/EXAONE-Deep-32B",
-    "OpenBuddy/openbuddy-qwq-32b-v24.2-200k",
-    "unsloth/Phi-3-mini-4k-instruct-v0",
-    "argilla/notux-8x7b-v1",
-    "voidful/qd-phi-1_5",
-    "Shanghai_AI_Laboratory/internlm2-math-base-20b",
-    "Shanghai_AI_Laboratory/internlm2-math-plus-20b",
-    "TechxGenus-MS/starcoder2-15b-instruct",
-    "Shanghai_AI_Laboratory/internlm2-base-20b",
-    "m-a-p/OpenLLaMA-Reproduce-872.42B",
-    "m-a-p/OpenLLaMA-Reproduce-973.08B",
-    "Shanghai_AI_Laboratory/OREAL-32B",
-    "YOYO-AI/Qwen3-30B-A3B-CoderThinking-YOYO-linear",
-    "ticoAg/Qwen-1_8B-Chat-Int4-awq",
-    "smirki/UIGEN-T1.1-Qwen-14B",
-    "prithivMLmods/Qwen2.5-32B-DeepSeek-R1-Instruct",
-    "sail/Sailor2-20B-128K",
-    "xverse/XVERSE-65B",
-    "Shanghai_AI_Laboratory/internlm2_5-20b-chat",
-    "TeleAI/TeleChat-52B",
-    "modelscope/Llama-2-70b-ms",
-    "Shanghai_AI_Laboratory/internlm2-20b",
-    "ai-modelscope/Llama-3_1-Nemotron-51B-Instruct",
-    "zhuangxialie/Phi-3-Chinese-ORPO",
-    "openai-mirror/gpt-oss-safeguard-20b",
-    "ByteDance-Seed/Seed-OSS-36B-Instruct",
-    "Shanghai_AI_Laboratory/internlm-chat-20b",
-    "TurkuNLP/bloom-finnish-176b",
-    "openai-mirror/gpt-oss-120b",
-    "vllm-ascend/QwQ-32B-W8A8",
-    "mistralai/Mistral-Small-24B-Instruct-2501",
-    "Shanghai_AI_Laboratory/internlm-20b",
-    "ZhipuAI/GLM-4-32B-0414",
+    "zipaltrivedi/dotnet-coder-14b",
 ]
 
 CAMBRICON_MODELS = [
-    "Xlnk/LFM2-2.6B-Exp-GGuf",
 ]
 
 METAX_MODELS = [
-    "ApolloRaines/Phi-4-mini-Instruct-Desyced",
-    "robertspumiaca1975/Qwen2.5-Coder-14B-n8n-Workflow-Generator",
-    "barandinho/Qwen3-30B-A3B-FIRST-STAGE-SFT-V2",
-    "hotmailuser/QwenSlerp2-14B",
-    "WhiteRabbitNeo/WhiteRabbitNeo-33B-v1.5",
-    "madox81/SmolLM2-135M-cybersecurity-lora-merged",
-    "Xlnk/LFM2-2.6B-Exp-GGuf",
-    "Tesslate/UIGEN-T1.1-Qwen-14B",
-    "jondurbin/bagel-dpo-34b-v0.2",
-    "zhengr/MixTAO-7Bx2-MoE-Instruct-v5.0",
-    "bjaidi/Phi-3-medium-128k-instruct-awq",
-    "jacob-ml/jacob-24b",
-    "geoffmunn/Qwen3-32B-f16",
-    "TorpedoSoftware/Luau-Devstral-24B-Instruct-v0.2",
-    "TeichAI/Nemotron-Cascade-14B-Thinking-Claude-4.5-Opus-High-Reasoning-Distill",
-    "tongzang/Qwen2.5-7b-lora-law",
-    "prithivMLmods/Sombrero-QwQ-32B-Elite9",
-    "prithivMLmods/Sombrero-QwQ-32B-Elite10-Fixed",
-    "TeichAI/Qwen3-14B-Polaris-Alpha-Distill",
-    "okwinds/MiroThinker-14B-DPO-v0.1",
-    "sanbuphy/tianji-wish2-14b",
-    "YOYO-AI/YOYO-O1-14B",
-    "LLM-Research/Meta-Llama-3.1-405B",
-    "LLM-Research/Meta-Llama-3-70B",
-    "LLM-Research/Meta-Llama-3.1-70B",
-    "Qwen/Qwen-72B-Chat",
-    "Qwen/Qwen3-Coder-480B-A35B-Instruct",
-    "deepseek-ai/DeepSeek-R1-Distill-Llama-70B",
-    "codefuse-ai/CodeFuse-StarCoder2-15B",
-    "AI-ModelScope/txgemma-27b-chat",
-    "XGenerationLab/XiYanSQL-QwenCoder-32B-2412",
-    "OpenBuddy/openbuddy-qwen1.5-32b-v21.2-32k",
-    "OpenBuddy/openbuddy-thinker-32b-v26-preview",
-    "OpenBuddy/openbuddy-qwen1.5-32b-v21.1-32k",
-    "OpenBuddy/openbuddy-qwq-32b-v25.2q-200k",
-    "unsloth/Qwen3-30B-A3B",
-    "OpenBuddy/openbuddy-qwq-32b-v25.1-200k",
-    "OpenBuddy/openbuddy-r1-32b-v24.1-200k",
-    "iic/ERank-14B",
-    "OpenBuddy/openbuddy-yi1.5-34b-v21.2-32k",
-    "LGAI-EXAONE/EXAONE-Deep-32B",
-    "OpenBuddy/openbuddy-qwq-32b-v24.2-200k",
-    "unsloth/Phi-3-mini-4k-instruct-v0",
-    "argilla/notux-8x7b-v1",
-    "voidful/qd-phi-1_5",
-    "TechxGenus-MS/starcoder2-15b-instruct",
-    "m-a-p/OpenLLaMA-Reproduce-872.42B",
-    "m-a-p/OpenLLaMA-Reproduce-973.08B",
-    "Shanghai_AI_Laboratory/OREAL-32B",
-    "YOYO-AI/Qwen3-30B-A3B-CoderThinking-YOYO-linear",
-    "smirki/UIGEN-T1.1-Qwen-14B",
-    "sthenno-com/miscii-14b-0130",
-    "prithivMLmods/Qwen2.5-32B-DeepSeek-R1-Instruct",
-    "sail/Sailor2-20B-128K",
-    "xverse/XVERSE-65B",
-    "TeleAI/TeleChat-52B",
-    "modelscope/Llama-2-70b-ms",
-    "Shanghai_AI_Laboratory/internlm2-20b",
-    "ai-modelscope/Llama-3_1-Nemotron-51B-Instruct",
-    "aJupyter/EmoLLM_Qwen2-7B-Instruct_lora",
-    "zhuangxialie/Phi-3-Chinese-ORPO",
-    "vllm-ascend/QwQ-32B-W8A8",
-    "ZhipuAI/GLM-4-32B-0414",
+    "zipaltrivedi/dotnet-coder-14b",
 ]
 
-HYGON_MODELS = [
-    "ApolloRaines/Phi-4-mini-Instruct-Desyced",
-]
+HYGON_MODELS = load_model_ids("hygon_k100-ai_2026-09-24.txt")
 
 KUNLUNXIN_MODELS = [
-    "Xlnk/LFM2-2.6B-Exp-GGuf",
 ]
 
-PPU_MODELS = [
+PPU_MODELS = load_model_ids("ppu_zw_810e_2026-09-24.txt")
 
-    "OuteAI/Lite-Mistral-150M-v2-Instruct",
-    "eric0009/yi-ko-6b-text2sql",
-    "ai-forever/mGPT-1.3B-bashkir",
-    "ApolloRaines/Phi-4-mini-Instruct-Desyced",
-    "eekay/Llama-3.1-8B-Instruct-noised-np0.15-emb-s48",
-    "eekay/Llama-3.1-8B-Instruct-noised-np0.15-emb-s49",
-    "cortexso/simplescaling-s1",
-    "BrainDelay/Siren",
-    "sbintuitions/sarashina2.2-3b-instruct-v0.1",
-    "robertspumiaca1975/Qwen2.5-Coder-14B-n8n-Workflow-Generator",
-    "AtAndDev/ShortKing-3b-v0.2",
-    "athirdpath/Iambe-RP-cDPO-20b",
-    "belweave/kai-2",
-    "unsloth/Qwen2.5-Coder-14B-Instruct",
-    "dphn/dolphin-2.7-mixtral-8x7b",
-    "adeljebali/llama3.1-gec-strict",
-    "xxrickyxx/Ailo152m-events-en",
-    "RedHatAI/starcoder2-7b-quantized.w8a8",
-    "RedHatAI/granite-3.1-2b-instruct-quantized.w4a16",
-    "julep-ai/dolphin-2.9.1-llama-3-70b-awq",
-    "OpenBuddy/openbuddy-deepseek-67b-v18.1-4k-gptq",
-    "dessertlab/offensive-powershell-CodeGPT-small",
-    "misterJB/atlas-field-528hz",
-    "tiiuae/Falcon3-10B-Base",
-    "Jackrong/gpt-oss-120b-Distill-Llama3.1-8B-v3",
-    "TheBloke/guanaco-65B-HF",
-    "jondurbin/airoboros-33b-gpt4-1.3",
-    "h2oai/h2ogpt-4096-llama2-70b",
-    "jondurbin/airoboros-65b-gpt4-1.3",
-    "jondurbin/airoboros-l2-70b-gpt4-2.0",
-    "ICBU-NPU/FashionGPT-70B-V1.2",
-    "jukofyork/Dark-Miqu-70B",
-    "alnrg2arg/blockchainlabs_joe_bez_seminar",
-    "facebook/opt-66b",
-    "abchbx/qwen_1.8B_Muice-Dataset_FULL",
-    "LumiOpen/Viking-33B",
-    "adamo1139/Yi-34B-200K-AEZAKMI-RAW-1701",
-    "mesolitica/Malaysian-TTS-4B-v0.1",
-    "TomGrc/FusionNet_passthrough",
-    "YOYO-AI/Qwen3-30B-A3B-YOYO-V5",
-    "m-a-p/OpenLLaMA-Reproduce-536.87B",
-    "m-a-p/OpenLLaMA-Reproduce-1291.85B",
-    "KnutJaegersberg/Deacon-34B",
-    "SenseLLM/ReflectionCoder-DS-33B",
-    "KOREAson/KO-REAson-AX3_1-35B-1009",
-    "dphn/dolphin-2.9.1-mixtral-1x22b",
-    "jondurbin/airoboros-33b-gpt4-1.4",
-    "TomGrc/FusionNet_passthrough_v0.1",
-    "Mozilla/Mistral-7B-Instruct-v0.2-llamafile",
-    "suayptalha/Luminis-phi-4",
-    "casperhansen/llama-3.3-70b-instruct-awq",
-    "HIT-SCIR/Chinese-Mixtral-8x7B",
-    "Shanghai_AI_Laboratory/internlm2-wqx-20b",
-    "unsloth/Qwen2.5-Coder-32B-Instruct",
-    "BSC-LT/ALIA-40b",
-    "Shanghai_AI_Laboratory/internlm2-7b",
-    "Shanghai_AI_Laboratory/internlm2-chat-7b",
-    
-    
-    
-    
-]
-
-# 本次提交第二十四轮过滤结果 MetaX_c-500(63) / Kunlunxin_p-800(1) /
-# Cambricon_mlu-370-x8(1) / Biren_166m(95)，加上已更新的 ppu_zw_810e(57)，共217个。
-# hygon_k100-ai 本轮筛出1个，config 分支与 HYGON_MODELS 列表已备好但按要求不提交；
-# Iluvatar_bi-150 本轮筛出36个，本仓库 framework=vllm 而现有 iluvatar 镜像均为
-# llamacpp/GGUF，缺 vllm 版镜像地址，无 config 分支，同样不提交。
+# 本轮提交：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。
+# 仅 ppu_zw_810e(17) 和 hygon_k100-ai(321)，共 338 个；不重复提交上一轮的 24 个任务。
 GPU_JOBS: List[Tuple[str, List[str]]] = [
-    ("MetaX_c-500",          METAX_MODELS),
-    ("Kunlunxin_p-800",      KUNLUNXIN_MODELS),
-    ("Cambricon_mlu-370-x8", CAMBRICON_MODELS),
-    ("Biren_166m",           BIREN_MODELS),
     ("ppu_zw_810e",          PPU_MODELS),
+    ("hygon_k100-ai",        HYGON_MODELS),
 ]
 TOTAL_MODELS = sum(len(models) for _, models in GPU_JOBS)
 
@@ -519,6 +305,28 @@ ref_config:
       - -tp
       - '1'
 """
+    
+    elif gpu_type == "Iluvatar_bi-150":
+            return f"""docker_image: harbor-contest.4pd.io/luopingyi/enginex-iluvatar-bi150/vllm:0.8.3
+nv_docker_image: harbor.4pd.io/dooke/vllm/vllm/vllm-openai:v0.11.0
+framework: vllm
+api: completion
+temperature: 0.7
+repetition_penalty: 1.2
+top_p: 0.9
+
+max_model_len: 4096
+max_tokens: 1024
+sut_config:
+  gpu_num: 1
+  values:
+    command: ['vllm', 'serve', '/model', '--port', '80', '--served-model-name', 'llm', '--max-model-len', '4096', '--gpu-memory-utilization', '0.9', '--enforce-eager', '--trust-remote-code' ,'-tp', '1']
+ref_config:
+  gpu_num: 1
+  values:
+    command: ['vllm', 'serve', '/model', '--port', '80', '--served-model-name', 'llm', '--max-model-len', '4096', '--enforce-eager', '--trust-remote-code', '-tp', '1']  
+"""
+    
     else:
         raise ValueError(f"未知的 GPU_TYPE: {gpu_type}")
     

model_ids/hygon_k100-ai_2026-09-24.txt

@@ -0,0 +1,321 @@
+kaividlabs/qwen3-4b-awq
+glins7/cashgo-role_classification
+danielsaggau/scotus_f1
+arinze/address-match-abp-v5
+arinze/address-match-abp-v4
+danielsaggau/scotus_py
+yzhou286/mBio-finetuned-setfit-model
+Watwat100/140data
+Watwat100/256data
+Nhat1904/7_shot_STA_freezed_body_1e-5_batch_8
+Nhat1904/9_shot_STA_head_skhead_1epoch_16batch
+Nhat1904/10_shot_STA_head_skhead_1epoch
+Nhat1904/12_shot_STA_head_skhead
+yzhou286/mBio-setfit-model
+kanixwang/my-awesome-setfit-model
+futuredatascience/to-classifier-v1
+futuredatascience/from-classifier-v1
+kowshik/upsc-classification-model-v1
+lewispons/large-email-classifier
+IsaacRodgz/setfit-diff-head-stance-prediction-spanish-news-headlines
+gmsarti/setfit-ethos-multilabel-example
+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
+nategro/nps-mpnet-lds
+mrm8488/setfit-mpnet-base-v2-finetuned-spam-detection
+kornwtp/ConGen-RoBERTa-base
+mencosk/Qwen2.5-Coder-1.5B-golang
+kornwtp/ConGen-TinyBERT-L6
+kornwtp/ConGen-BERT-Small
+kornwtp/ConGen-TinyBERT-L4
+kornwtp/ConGen-BERT-Mini
+kornwtp/ConGen-BERT-Tiny
+BlackKakapo/stsb-xlm-r-multilingual-ro
+TingChenChang/hpv-multi-qa-mpnet-zh
+Charul/my-dummy-model-1
+tubyneto/my_new_model
+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
+jamescalam/mpnet-snli-negatives
+teven/cross_all-mpnet-base-v2_finetuned_WebNLG2020_metric_average
+budecosystem/boomer-1b
+CShorten/CORD-19-Title-Abstracts-1-more-epoch
+teven/cross_all-mpnet-base-v2_finetuned_WebNLG2020_data_coverage
+valhalla/distilbart-mnli-12-9
+teven/bi_all-mpnet-base-v2_finetuned_WebNLG2020_data_coverage
+teven/cross_all-mpnet-base-v2_finetuned_WebNLG2020_correctness
+teven/bi_all-mpnet-base-v2_finetuned_WebNLG2020_correctness
+jamescalam/mpnet-snli
+jamescalam/mpnet-xnli
+teven/bi_all-mpnet-base-v2_finetuned_WebNLG2017
+jamescalam/mpnet-qa
+jamescalam/deberta-v3-base-qa
+firqaaa/indo-sentence-bert-base
+valhalla/distilbart-mnli-12-3
+rufimelo/Legal-BERTimbau-sts-base-ma-v2
+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
+edumunozsala/distilroberta-sentence-transformer-test
+mchochlov/codebert-base-cd-ft
+smartmind/ko-sbert-augSTS-maxlength512
+lmxhappy/yule_bagua_bert
+spacemanidol/esci-all-distilbert-base-uncased-5e-5
+intfloat/simlm-msmarco-reranker
+AI-Growth-Lab/Pap2PatentSBERTa
+Kyleiwaniec/COS_TAPT_n_RoBERTa_STS
+spacemanidol/esci-es-mpnet-crossencoder
+spacemanidol/esci-jp-mpnet-crossencoder
+spacemanidol/esci-mpnet-crossencoder
+osanseviero/distilroberta-base-sentence-transformer
+embedding-data/distilroberta-base-sentence-transformer
+embedding-data/deberta-sentence-transformer
+ivan-savchuk/msmarco-distilbert-dot-v5-tuned-full-v1
+sdadas/st-polish-paraphrase-from-mpnet
+sdadas/st-polish-paraphrase-from-distilroberta
+Daveee/gpl_colbert
+sorayutmild/simcse-model-wangchanberta-finetuned-sanook-news
+CaoHaiNam/vietnamese-address-embedding
+aiknowyou/aiky-sentence-bertino
+TimKond/S-BioLinkBert-MedQuAD
+NimaBoscarino/STPushToHub-test
+NimaBoscarino/albert-nima
+alfaneo/bertimbaulaw-base-portuguese-sts
+alfaneo/jurisbert-base-portuguese-sts
+alfaneo/bertimbau-base-portuguese-sts
+alfaneo/bert-base-multilingual-sts
+WalidLak/Testmodel
+shafin/distilbert-similarity-b32-3
+raphaelsty/semanlink_all_mpnet_base_v2
+guidecare/all-mpnet-base-v2-feature-extraction
+income/bpr-gpl-climate-fever-base-msmarco-distilbert-tas-b
+income/bpr-gpl-dbpedia-entity-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-trec-covid-base-msmarco-distilbert-tas-b
+income/bpr-gpl-trec-news-base-msmarco-distilbert-tas-b
+income/bpr-gpl-webis-touche2020-base-msmarco-distilbert-tas-b
+ITESM/sentece-embeddings-BETO
+espejelomar/sentece-embeddings-BETO
+xverse/XVERSE-13B-Chat
+ceggian/sbert_pt_reddit_mnr_128
+ceggian/sbert_pt_reddit_mnr_256
+ceggian/sbert_pt_reddit_softmax_512
+orenpereg/paraphrase-mpnet-base-v2_sst2_64samps
+ceggian/sbert_pt_reddit_mnr_512
+orenpereg/paraphrase-mpnet-base-v2_sst2_4samps
+GPL/bioasq-msmarco-distilbert-gpl
+GPL/bioasq-tsdae-msmarco-distilbert-gpl
+GPL/scidocs-tsdae-msmarco-distilbert-gpl
+GPL/quora-tsdae-msmarco-distilbert-gpl
+GPL/nfcorpus-tsdae-msmarco-distilbert-gpl
+GPL/dbpedia-entity-tsdae-msmarco-distilbert-gpl
+GPL/hotpotqa-msmarco-distilbert-gpl
+GPL/quora-distilbert-tas-b-gpl-self_miner
+GPL/hotpotqa-distilbert-tas-b-gpl-self_miner
+kevinpro/MetaMathOctopus-MAPO-DPO-13B
+laion/exp-syh-r2egym-swesmith-mixed_glm_4_7_traces_jupiter_cleaned
+ceggian/sbert_standard_reddit_mnr
+snunlp/KR-SBERT-V40K-klueNLI-augSTS
+deepset/all-mpnet-base-v2-table
+GPL/trec-news-tsdae-msmarco-distilbert-gpl
+ml6team/cross-encoder-mmarco-german-distilbert-base
+GPL/fever-tsdae-msmarco-distilbert-gpl
+GPL/nfcorpus-msmarco-distilbert-gpl
+GPL/dbpedia-entity-msmarco-distilbert-gpl
+efederici/sentence-BERTino
+efederici/sentence-bert-base
+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/climate-fever-tsdae-msmarco-distilbert-gpl
+GPL/arguana-tsdae-msmarco-distilbert-gpl
+GPL/trec-covid-msmarco-distilbert-gpl
+GPL/scidocs-msmarco-distilbert-gpl
+GPL/webis-touche2020-msmarco-distilbert-gpl
+GPL/trec-news-msmarco-distilbert-gpl
+GPL/signal1m-msmarco-distilbert-gpl
+GPL/quora-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
+jegormeister/robbert-v2-dutch-base-mqa-finetuned
+meedan/paraphrase-filipino-mpnet-base-v2
+bespin-global/klue-sroberta-base-continue-learning-by-mnr
+DMetaSoul/sbert-chinese-qmc-domain-v1-distill
+somosnlp-hackathon-2022/paraphrase-spanish-distilroberta
+somosnlp-hackathon-2022/bertin-roberta-base-finetuning-esnli
+DMetaSoul/sbert-chinese-qmc-finance-v1
+sentence-transformers/xlm-r-base-en-ko-nli-ststb
+sentence-transformers/nli-distilbert-base-max-pooling
+NastasiaM/mbert-loraxs-qa-vanilla
+sentence-transformers/multi-qa-mpnet-base-dot-v1
+sentence-transformers/msmarco-distilbert-base-v4
+morethankk/ThermalGuard-v1_4
+DMetaSoul/sbert-chinese-dtm-domain-v1
+DMetaSoul/sbert-chinese-qmc-domain-v1
+DMetaSoul/sbert-chinese-general-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
+lzkhhh/ITDR-Qwen2.5-7B
+longvideotool/LongVT-SFT
+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
+lm2445/TABPO_llama3.1_8B_3epoch
+sentence-transformers/xlm-r-large-en-ko-nli-ststb
+sentence-transformers/xlm-r-distilroberta-base-paraphrase-v1
+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-xlm-r-multilingual
+sentence-transformers/stsb-roberta-large
+sentence-transformers/stsb-mpnet-base-v2
+sentence-transformers/sentence-t5-xxl
+sentence-transformers/sentence-t5-base
+sentence-transformers/roberta-large-nli-mean-tokens
+sentence-transformers/paraphrase-mpnet-base-v2
+sentence-transformers/paraphrase-TinyBERT-L6-v2
+sentence-transformers/paraphrase-MiniLM-L6-v2
+sentence-transformers/paraphrase-MiniLM-L3-v2
+sentence-transformers/paraphrase-MiniLM-L12-v2
+sentence-transformers/nq-distilbert-base-v1
+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
+sentence-transformers/nli-bert-large-cls-pooling
+Mozilla/llava-v1.5-7b-llamafile
+sentence-transformers/nli-bert-base-cls-pooling
+sentence-transformers/multi-qa-distilbert-dot-v1
+sentence-transformers/multi-qa-distilbert-cos-v1
+sentence-transformers/multi-qa-MiniLM-L6-dot-v1
+sentence-transformers/multi-qa-MiniLM-L6-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
+sentence-transformers/msmarco-MiniLM-L12-cos-v5
+youngfficy/feifei-qwen2.5-1.5b-catgirl
+sentence-transformers/msmarco-MiniLM-L6-v3
+q2792046875/internVL1B
+muse/openai-clip-vit-large-patch14
+sentence-transformers/facebook-dpr-question_encoder-single-nq-base
+sentence-transformers/facebook-dpr-question_encoder-multiset-base
+laion/Qwen3-8B_exp_tas_top_k_32_traces_save-strategy_steps
+sentence-transformers/facebook-dpr-ctx_encoder-multiset-base
+sentence-transformers/distiluse-base-multilingual-cased-v1
+sentence-transformers/distilroberta-base-msmarco-v1
+sentence-transformers/distilroberta-base-msmarco-v2
+sentence-transformers/distilbert-base-nli-mean-tokens
+laion/GLM-4_7-stackexchange-tezos-sandboxes-maxeps-131k
+Vchitect/ShotVL-3B
+OpenGVLab/VideoChat-R1_7B
+sentence-transformers/all-mpnet-base-v1
+sentence-transformers/all-MiniLM-L6-v1
+tsss1/deepsek-qwen1.5-vpn
+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
+mlfoundations-cua-dev/qwen2_5vl_3b_sft_idm_how_to_onannel_agent_sft_data_local_bs_4_epochs_3
+ibm-granite/granite-4.1-30b
+osanseviero/clip-st
+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
+ncls-p/Qwen2.5-7B-blog-key-points
+laion/openthoughts-4-code-qwen3-32b-annotated-32k_qwen3-1.7B_32k
+aab20abdullah/qwen_OSINT
+OpenGVLab/InternVL3-1B-Instruct
+sakares/wav2vec2-large-xlsr-thai-demo
+CuongLD/wav2vec2-large-xlsr-vietnamese
+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
+waltonfuture/qwen2.5vl-3b-sampled_5000_qwen2.5vl32b
+waltonfuture/qwen2.5vl-3b-32b-longest-5153
+RedHatAI/Qwen2.5-VL-3B-Instruct-quantized.w8a8
+kresnik/wav2vec2-large-xlsr-korean
+mlfoundations-cua-dev/qwen2_5vl_3b_sft_unified_idm_data_with_new_idm_data_2_frames_local_bs_1
+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
+ocordeiro/w2v-bert-2.0-portuguese-colab-CV16.0
+whitefox123/w2v-bert-2.0-arabic-4
+01ai/Yi-VL-6B
+jerchenxin/qwen2.5-Math-1.5B-step-720
+jerchenxin/qwen2.5-Math-1.5B-step-320
+KandirResearch/DarijaTTS-v0.1-500M
+allura-org/remnant-qwen3-8b
+bimabk/test_19fccc14-8df6-4085-86ee-ce740ccdff30_JackFram-llama-160m
+bimabk/test_19fccc14-8df6-4085-86ee-ce740ccdff30_Qwen-Qwen1-5-0-5B-Chat
+bimabk/test_19fccc14-8df6-4085-86ee-ce740ccdff30_unsloth-Qwen2-0-5B
+bimabk/test_19fccc14-8df6-4085-86ee-ce740ccdff30_Qwen-Qwen2-5-0-5B
+bimabk/test_19fccc14-8df6-4085-86ee-ce740ccdff30_TinyLlama-TinyLlama-1-1B-Chat-v0-6
+gaoqie/Qwen2VL-2B-Instruct-fire
+bimabk/test_ac92fa52-28b8-479a-b5d5-a678407b5011_unsloth-Qwen2-5-3B
+bimabk/test_ac92fa52-28b8-479a-b5d5-a678407b5011_Qwen-Qwen2-5-3B-Instruct
+qingy2024/Benchmaxx-Llama-3.2-1B-Instruct
+unsloth/orpheus-3b-0.1-ft
+diabolic6045/Sanskrit-qwen-7B-Translate-v2
+ayoubkirouane/whisper-small-ar
+SEGAgentRL/LLDS-A-GSPO-Qwen2.5-3B-Ins

model_ids/ppu_zw_810e_2026-09-24.txt

@@ -0,0 +1,17 @@
+Xlnk/LFM2-2.6B-Exp-GGuf
+internlm/internlm2-7b-reward
+jbuaba/iolai-2026-qwen25-14b
+KBlueLeaf/TIPOv2-1B-A200M
+glins7/cashgo-role_classification
+danielsaggau/scotus_f1
+arinze/address-match-abp-v5
+arinze/address-match-abp-v4
+Nhat1904/10_shot_STA_head_skhead_1epoch
+Nhat1904/12_shot_STA_head_skhead
+Nhat1904/4_shot_STA
+shrinivasbjoshi/setfit-mbti-multiclass-w266_Nov29
+Etelis/rtm_fewshot
+TheDrummer/Snowpiercer-15B-v4
+gaunernst/gemma-3-27b-it-qat-autoawq
+darkps/darkit-v1.5
+EleutherAI/pythia-70m