submit 338 nonquantized candidates on PPU and Hygon
This commit is contained in:
12
README.md
12
README.md
@@ -2,10 +2,13 @@
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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。
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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。
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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。
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## 功能
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## 功能
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- 自动登录 ModelHub 获取 Token
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- 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
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- 批量提交模型验证任务（vLLM 框架，Cambricon MLU-370-x8）
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- 分 GPU 读取 `model_ids/` 中的模型清单，批量提交 vLLM 验证任务
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- 账号额度暂满时，每 30 分钟重试尚未提交的模型
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- 提交结果写入 `submitted_validation_tasks.txt`
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- 提交结果写入 `submitted_validation_tasks.txt`
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- 暴露 `/health` 和 `/status` 接口满足平台运行时契约
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- 暴露 `/health` 和 `/status` 接口满足平台运行时契约
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@@ -14,6 +17,7 @@
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```
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```
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.
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.
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├── main.py # 主入口：HTTP 服务 + 提交逻辑
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├── main.py # 主入口：HTTP 服务 + 提交逻辑
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├── model_ids/ # 本批次两张 GPU 的模型 ID 清单
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├── Dockerfile # 平台镜像构建配置
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├── Dockerfile # 平台镜像构建配置
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├── requirements.txt # Python 依赖
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├── requirements.txt # Python 依赖
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└── submitted_validation_tasks.txt # 运行后自动生成，记录提交结果
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└── submitted_validation_tasks.txt # 运行后自动生成，记录提交结果
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@@ -26,4 +30,6 @@
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- Dockerfile 位于仓库根目录，基于官方轻量基础镜像
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- Dockerfile 位于仓库根目录，基于官方轻量基础镜像
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- 暴露 8080 端口并实现 `GET /health`
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- 暴露 8080 端口并实现 `GET /health`
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- 通过环境变量 `STRATEGY_ID` 获取策略 ID
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- 通过环境变量 `STRATEGY_ID` 获取策略 ID
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- 正确处理 `SIGTERM` 信号，支持优雅停机
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- 正确处理 `SIGTERM` 信号，支持优雅停机
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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`。
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66
main.py
66
main.py
@@ -1,9 +1,9 @@
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"""
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"""
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xc_validation_strategy — 主入口
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xc_validation_strategy — 主入口
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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
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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。
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（当前仅提交 ppu_zw_810e，其余 4 张卡 Biren_166m/Cambricon_mlu-370-x8/MetaX_c-500/
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本轮仅提交 ppu_zw_810e 和 hygon_k100-ai 的 2026-09-24 非量化候选清单；
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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）
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其他 GPU 的 config_content 模板仍保留，但未列入 GPU_JOBS。
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（/adminApi/async/task/create-contest-task，
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（/adminApi/async/task/create-contest-task，
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Bearer Token 认证），之后保持 HTTP 服务存活。
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Bearer Token 认证），之后保持 HTTP 服务存活。
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@@ -22,6 +22,7 @@ import signal
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import threading
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import threading
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from datetime import datetime
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from datetime import datetime
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from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
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from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
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from pathlib import Path
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from typing import List, Tuple
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from typing import List, Tuple
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import requests
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import requests
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@@ -33,7 +34,7 @@ BASE_URL = os.environ.get("BASE_URL", "https://modelhub.org.cn")
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SUBMIT_ENDPOINT = "/adminApi/async/task/create-contest-task"
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SUBMIT_ENDPOINT = "/adminApi/async/task/create-contest-task"
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# 通过 curl -X POST https://modelhub.org.cn/adminApi/user/login 获取后填入
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# 通过 curl -X POST https://modelhub.org.cn/adminApi/user/login 获取后填入
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AUTH_TOKEN = "eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJ1c2VyQWNjb3VudCI6Inpob3VzaGFzaGEiLCJpZCI6MTQsInVzZXJSb2xlIjoibGVhZGVyYm9hcmQiLCJleHAiOjE3OTAwNjkxMjAsImlhdCI6MTc4OTQ2NDMyMH0.KzJac6ddaZdtLvjD6ZnoK1PNEKFoXdyDn9Hh4FxU9ic"
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AUTH_TOKEN = os.environ.get("AUTH_TOKEN", "eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJ1c2VyQWNjb3VudCI6Inpob3VzaGFzaGEiLCJpZCI6MTQsInVzZXJSb2xlIjoibGVhZGVyYm9hcmQiLCJleHAiOjE3OTA4NjQwMDMsImlhdCI6MTc5MDI1OTIwM30.T23Tp3xcI8kkKIOwRCXmZlpe3Qo3sOIxZ8n6NbzJJ2M")
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CONTEST_API_TOKEN = "ef1ef82f3c9efee413d602345fbe224d"
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CONTEST_API_TOKEN = "ef1ef82f3c9efee413d602345fbe224d"
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CONTRIBUTORS = "zhoushasha"
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CONTRIBUTORS = "zhoushasha"
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TASK_TYPE = "text-generation"
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TASK_TYPE = "text-generation"
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@@ -43,8 +44,22 @@ HTTP_HOST = "0.0.0.0"
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HTTP_PORT = 8080
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HTTP_PORT = 8080
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# ══════════════════════════════════════════════════════════
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# ══════════════════════════════════════════════════════════
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# 各 GPU 的模型列表（来自 filter_verified_models 脚本的筛选结果）
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# 各 GPU 的模型列表
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# ══════════════════════════════════════════════════════════
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# ══════════════════════════════════════════════════════════
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MODEL_DIR = Path(__file__).resolve().parent / "model_ids"
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def load_model_ids(filename: str) -> List[str]:
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model_ids = [
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line.strip()
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for line in (MODEL_DIR / filename).read_text(encoding="utf-8").splitlines()
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if line.strip()
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]
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if not model_ids or len(model_ids) != len(set(model_ids)):
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raise ValueError(f"模型列表为空或含重复 ID: {filename}")
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return model_ids
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BIREN_MODELS = [
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BIREN_MODELS = [
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"zipaltrivedi/dotnet-coder-14b",
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"zipaltrivedi/dotnet-coder-14b",
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]
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]
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@@ -56,51 +71,18 @@ METAX_MODELS = [
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"zipaltrivedi/dotnet-coder-14b",
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"zipaltrivedi/dotnet-coder-14b",
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]
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]
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HYGON_MODELS = [
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HYGON_MODELS = load_model_ids("hygon_k100-ai_2026-09-24.txt")
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"zipaltrivedi/dotnet-coder-14b",
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"cds-jb/qwen3-14b-butterfly-subliminal-fullft",
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"lllqaq/Qwen2.5-Coder-14B-Instruct-num11-v1-v2-v3-pairs-v3-triples-post-r2egym",
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"deepmako/Mako-32B-Conductor",
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]
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KUNLUNXIN_MODELS = [
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KUNLUNXIN_MODELS = [
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]
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]
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PPU_MODELS = [
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PPU_MODELS = load_model_ids("ppu_zw_810e_2026-09-24.txt")
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"fpadovani/eng-latn-100mb-after-ppt-Dp-10mb-ckpt500_seed10",
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"fpadovani/ita-latn-10mb-after-ppt-Dp-100mb-ckpt500_seed3407",
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"fpadovani/ita-latn-10mb-after-ppt-Dp-10mb-ckpt500_seed3407",
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"richardr1126/spider-skeleton-wizard-coder-merged",
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"fpadovani/dan-latn-10mb-after-ppt-shuff-dyck-10mb-ckpt500_seed3407",
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"fpadovani/ita-latn-10mb-after-ppt-shuff-dyck-100mb-ckpt500_seed3407",
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"omerkaragulmez/XbyK-0.1",
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"fpadovani/eng-latn-10mb-after-ppt-Dp-10mb-ckpt500_seed10",
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"fpadovani/eng-latn-10mb-100mb_seed10",
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"flax-community/gpt2-medium-indonesian",
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"RedHatAI/QwQ-32B-Preview-quantized.w8a8",
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"fractalego/fact-checking",
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"KoboldAI/GPT-J-6B-Adventure",
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"EasierAI/Falcon-3-1B",
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"theprint/mistral-7b-cthulhu",
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"iwalton3/phoenix",
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"renzhenzhen/internLM2-for-triples",
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"u2mithrandir/epsi_tmall",
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]
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# 本轮提交：ppu_zw_810e(18) / hygon_k100-ai(4) / MetaX_c-500(1) / Biren_166m(1)，共24个。
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# 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。
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#
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# 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。
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# 候选池是 api_verify_model_download_status_a.txt 里那 24711 个【已下载】的模型，
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# 正好满足机制A「模型必须已下载到平台存储」的前提（v1.0.37 那次157个失败就是因为没下载）。
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#
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# 本轮严格口径与放宽口径（别的卡「已验证」vs「已验证或验证中」）结果完全相同：
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# 这批已下载模型里 24007 个有验证记录的，24006 个都已至少一张卡「已验证」，
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# 放宽只多捞出 1 个；真正的瓶颈是各卡「无记录」的模型太少——
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# Kunlunxin_p-800 / Cambricon_mlu-370-x8 / Iluvatar_bi-150 均为 0，故不列入 GPU_JOBS。
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GPU_JOBS: List[Tuple[str, List[str]]] = [
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GPU_JOBS: List[Tuple[str, List[str]]] = [
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("ppu_zw_810e", PPU_MODELS),
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("ppu_zw_810e", PPU_MODELS),
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("hygon_k100-ai", HYGON_MODELS),
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("hygon_k100-ai", HYGON_MODELS),
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("MetaX_c-500", METAX_MODELS),
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("Biren_166m", BIREN_MODELS),
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]
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]
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TOTAL_MODELS = sum(len(models) for _, models in GPU_JOBS)
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TOTAL_MODELS = sum(len(models) for _, models in GPU_JOBS)
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321
model_ids/hygon_k100-ai_2026-09-24.txt
Normal file
321
model_ids/hygon_k100-ai_2026-09-24.txt
Normal file
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kaividlabs/qwen3-4b-awq
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glins7/cashgo-role_classification
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danielsaggau/scotus_f1
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arinze/address-match-abp-v5
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arinze/address-match-abp-v4
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danielsaggau/scotus_py
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yzhou286/mBio-finetuned-setfit-model
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Watwat100/140data
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Watwat100/256data
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Nhat1904/7_shot_STA_freezed_body_1e-5_batch_8
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Nhat1904/9_shot_STA_head_skhead_1epoch_16batch
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Nhat1904/10_shot_STA_head_skhead_1epoch
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Nhat1904/12_shot_STA_head_skhead
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yzhou286/mBio-setfit-model
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kanixwang/my-awesome-setfit-model
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futuredatascience/to-classifier-v1
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futuredatascience/from-classifier-v1
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kowshik/upsc-classification-model-v1
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lewispons/large-email-classifier
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IsaacRodgz/setfit-diff-head-stance-prediction-spanish-news-headlines
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gmsarti/setfit-ethos-multilabel-example
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YouLiXiya/tinyllava-v1.0-1.1b-hf
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javiervela/sentence-transformers_distiluse-base-multilingual-cased-v2_50-50_all-v2_sequence_oaei_final
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Vishwas/intent_classification
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airnicco8/xlm-roberta-en-it-de
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tubyneto/wandss-bert
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nategro/nps-mpnet
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nategro/nps-mpnet-lds
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mrm8488/setfit-mpnet-base-v2-finetuned-spam-detection
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kornwtp/ConGen-RoBERTa-base
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mencosk/Qwen2.5-Coder-1.5B-golang
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kornwtp/ConGen-TinyBERT-L6
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kornwtp/ConGen-BERT-Small
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kornwtp/ConGen-TinyBERT-L4
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kornwtp/ConGen-BERT-Mini
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kornwtp/ConGen-BERT-Tiny
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BlackKakapo/stsb-xlm-r-multilingual-ro
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TingChenChang/hpv-multi-qa-mpnet-zh
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Charul/my-dummy-model-1
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tubyneto/my_new_model
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TingChenChang/cMedQA2-multi-qa-mpnet-zh
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dvilasuero/my-test-setfit
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dvilasuero/setfit-mini-imdb
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mrm8488/setfit-mpnet-base-v2-finetuned-sentEval-CR
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bongsoo/moco-sentencedistilbertV2.1
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jamescalam/mpnet-nli-sts
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TingChenChang/hpvqa-lcqmc-ocnli-cnsd-multi-MiniLM-v2
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TingChenChang/lcqmc-ocnli-cnsd-multi-MiniLM-v2
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jamescalam/mpnet-snli-negatives
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teven/cross_all-mpnet-base-v2_finetuned_WebNLG2020_metric_average
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budecosystem/boomer-1b
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CShorten/CORD-19-Title-Abstracts-1-more-epoch
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teven/cross_all-mpnet-base-v2_finetuned_WebNLG2020_data_coverage
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valhalla/distilbart-mnli-12-9
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teven/bi_all-mpnet-base-v2_finetuned_WebNLG2020_data_coverage
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teven/cross_all-mpnet-base-v2_finetuned_WebNLG2020_correctness
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teven/bi_all-mpnet-base-v2_finetuned_WebNLG2020_correctness
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jamescalam/mpnet-snli
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jamescalam/mpnet-xnli
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teven/bi_all-mpnet-base-v2_finetuned_WebNLG2017
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jamescalam/mpnet-qa
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jamescalam/deberta-v3-base-qa
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firqaaa/indo-sentence-bert-base
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valhalla/distilbart-mnli-12-3
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rufimelo/Legal-BERTimbau-sts-base-ma-v2
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bongsoo/moco-sentencebertV2.0
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smartmind/roberta-ko-small-tsdae
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aiknowyou/all-mpnet-base-questions-clustering-en
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lewtun/dummy-setfit-model
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TingChenChang/qqp-nli-training-paraphrase-multilingual-MiniLM-L12-v2
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bongsoo/moco-sentencedistilbertV2.0
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edumunozsala/bertin-sts-cc-news-es
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edumunozsala/distilroberta-sentence-transformer-test
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mchochlov/codebert-base-cd-ft
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smartmind/ko-sbert-augSTS-maxlength512
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lmxhappy/yule_bagua_bert
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spacemanidol/esci-all-distilbert-base-uncased-5e-5
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intfloat/simlm-msmarco-reranker
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AI-Growth-Lab/Pap2PatentSBERTa
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Kyleiwaniec/COS_TAPT_n_RoBERTa_STS
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spacemanidol/esci-es-mpnet-crossencoder
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spacemanidol/esci-jp-mpnet-crossencoder
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spacemanidol/esci-mpnet-crossencoder
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osanseviero/distilroberta-base-sentence-transformer
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embedding-data/distilroberta-base-sentence-transformer
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||||||
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embedding-data/deberta-sentence-transformer
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ivan-savchuk/msmarco-distilbert-dot-v5-tuned-full-v1
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||||||
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sdadas/st-polish-paraphrase-from-mpnet
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||||||
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sdadas/st-polish-paraphrase-from-distilroberta
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||||||
|
Daveee/gpl_colbert
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||||||
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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
|
||||||
17
model_ids/ppu_zw_810e_2026-09-24.txt
Normal file
17
model_ids/ppu_zw_810e_2026-09-24.txt
Normal file
@@ -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
|
||||||
Reference in New Issue
Block a user