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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。
|
||||
|
||||
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
|
||||
@@ -26,4 +30,6 @@
|
||||
- Dockerfile 位于仓库根目录，基于官方轻量基础镜像
|
||||
- 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
|
||||
- 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`。
|
||||
|
||||
821
main.py
821
main.py
@@ -1,10 +1,19 @@
|
||||
"""
|
||||
xc_validation_strategy — 主入口
|
||||
|
||||
启动后针对 4 张 GPU 卡（Biren_166m / Cambricon_mlu-370-x8 / MetaX_c-500 /
|
||||
Kunlunxin_p-800）分别批量提交各自筛选出的模型验证任务（/adminApi/async/task/create-contest-task，
|
||||
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。
|
||||
同时暴露 /health（K8s 探活）和 /status（运行状态）。
|
||||
|
||||
账号额度自动重试：如果某个模型提交时命中"当前等待中或运行中的异步模型验证
|
||||
任务数量已达上限"（账号额度已满），不算永久失败，会被留到下一轮；额度耗尽后
|
||||
本进程会原地等待 30 分钟，再自动重试所有因额度问题未提交成功的模型，如此循环，
|
||||
直至全部提交成功或进程被平台关闭——不需要重新部署新策略，循环逻辑在本进程内完成。
|
||||
非额度原因的失败（如模型已在验证中等）不会重试。
|
||||
|
||||
同时暴露 /health（K8s 探活）和 /status（运行状态，含当前轮次/待重试数/下次重试时间）。
|
||||
"""
|
||||
|
||||
import json
|
||||
@@ -13,6 +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
|
||||
@@ -24,7 +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.eyJ1c2VyQWNjb3VudCI6Inpob3VzaGFzaGEiLCJpZCI6MTQsInVzZXJSb2xlIjoibGVhZGVyYm9hcmQiLCJleHAiOjE3ODU3NDY3NTMsImlhdCI6MTc4NTE0MTk1M30.KwUuefNAFSNwq3_Pnaw2nef8ZC6WgsECQ_LMeQnKk2c"
|
||||
AUTH_TOKEN = os.environ.get("AUTH_TOKEN", "eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJ1c2VyQWNjb3VudCI6Inpob3VzaGFzaGEiLCJpZCI6MTQsInVzZXJSb2xlIjoibGVhZGVyYm9hcmQiLCJleHAiOjE3OTA4NjQwMDMsImlhdCI6MTc5MDI1OTIwM30.T23Tp3xcI8kkKIOwRCXmZlpe3Qo3sOIxZ8n6NbzJJ2M")
|
||||
CONTEST_API_TOKEN = "ef1ef82f3c9efee413d602345fbe224d"
|
||||
CONTRIBUTORS = "zhoushasha"
|
||||
TASK_TYPE = "text-generation"
|
||||
@@ -34,623 +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 = [
|
||||
"yondong/AMchat",
|
||||
"llm-jp/llm-jp-3-8x1.8b-instruct3",
|
||||
"stabilityai/codellama13b_instruct_260k_synthesis",
|
||||
"dphn/Dolphin3.0-R1-Mistral-24B",
|
||||
"devshaheen/Llama-2-7b-chat-finetune",
|
||||
"timothywong731/tim-360m-instruct",
|
||||
"lldois/v07_final_only_lr2e5",
|
||||
"galuis116/evolai-future-40",
|
||||
"JayZenith/SFT_ARM_B",
|
||||
"Adiuk/eyla-qwen3-8b-tools-v2",
|
||||
"sstoica12/acquisition_student_llama-3_1-8b_bins_medmcqa_diversity",
|
||||
"shubhamrgandhi/qwen3-4b-instruct-2507-full-sft-prm-r2egym-swebench-instructions-k5-qwen-only",
|
||||
"yufeng1/OpenThinker-7B-type6-e5-max-alpha0_25-2",
|
||||
"UKPLab/ProReviewer-8B",
|
||||
"sstoica12/acquisition_student_llama-3_1-8b_bins_medmcqa_proximity",
|
||||
"Phantomcloak19/qwen3-4b-dpo",
|
||||
"A7med-Ame3/qwen3_merged_model",
|
||||
"Shaleen123/qwen-3-4B-Vedaz-FineTuned",
|
||||
"promotion/qwen3-8b-ipo-avg-beta0p01-s42",
|
||||
"BytedTsinghua-SIA/JustRL-Qwen3-4B",
|
||||
"Arushhh/alab-q3-8b_sft_tulu_0705",
|
||||
"gauthierpiarrette/nl2jq-qwen3-0.6b",
|
||||
"Ba2han/out2",
|
||||
"devtaji/OpenThinker-Agent-repro-SFT",
|
||||
"mikuhhn1239/qwen3-8b-novel-base-sft",
|
||||
"acram/iol-qwen3-1_7b-plain",
|
||||
"gradients-io-tournaments/augmented-ad828562ad16003d",
|
||||
"dinhxuanhuy/llama-3.2-1B-PhoMT-250k",
|
||||
"phamthanhfd/contract-analysis-qwen2.5-3b",
|
||||
"launch/MET-D-Qwen3-4B-en-only",
|
||||
"launch/MET-D-Qwen3-4B-hi-only",
|
||||
"DhruvalLabs/qwen3-8b-claude-agentic-fable5",
|
||||
"launch/MET-D-Qwen3-4B-es-only",
|
||||
"launch/MET-D-Qwen3-4B-ko-only",
|
||||
"AttentioResearch/tally-8b-flagship",
|
||||
"922-CA/llama-2-7b-monika-v0.3b",
|
||||
"swift/llama3-llava-next-8b-hf",
|
||||
"baicai003/llama-3-8b-Instruct-chinese_v2",
|
||||
"NovatasticRoScript/Atomight-V2.5-1.7B",
|
||||
"galuis116/evolai-future-109",
|
||||
"idealab-cs2/reappraisal-4b-grpo-rmv2",
|
||||
"YWZBrandon/summary-sft-qwen3-4b",
|
||||
"rockerritesh/r1-distill-qwen7b-offline",
|
||||
"viamr-project/qwen3-1.7b-amr-20260704-0113",
|
||||
"yapeichang/Qwen2.5-7B-RM8B",
|
||||
"yapeichang/Llama-3.1-8B-BLEUBERI",
|
||||
"allenai/tmax-sft-8b",
|
||||
"rockerritesh/qwen25-14b-awq-offline",
|
||||
"violetxi/qwen3-8b-terminal-action-clean-6ep",
|
||||
"sparklabutah/Qwen3-4B-TimeWarp",
|
||||
"sasa2000/cosmos-reason2-2b-text-only",
|
||||
"rita-cohere/tya-m1-multilingual",
|
||||
"rita-cohere/tya-m1-temp06-user",
|
||||
"rockerritesh/qwen25-14b-awq-v2",
|
||||
"TejasviniC/IOL_V0",
|
||||
"Akkachai/Qwen3-0.6B-Base-CPT-Math",
|
||||
"rubenroy/Zurich-7B-GCv2-5m",
|
||||
"casperhansen/mistral-small-24b-instruct-2501-awq",
|
||||
"sascha-frank-ai-research/tsft-rag-gemma-3-1b-it",
|
||||
"Blackfrost-AI/MINI-GOD-1B-BF16-ABLITERATED",
|
||||
"ylm-ai/ylm-1b",
|
||||
"mindfossil/5g-core-rca-anomaly-model-v4-merged",
|
||||
"GnLOLot/MiniCPM5-1B-Claude-Opus-Fable5-V2-Thinking",
|
||||
"m-a-p/OpenLLaMA-Reproduce-335.54B",
|
||||
"webAI-Official/TwIL-LM",
|
||||
"casperhansen/deepseek-r1-distill-qwen-1.5b-awq",
|
||||
"togethercomputer/RedPajama-INCITE-7B-Chat",
|
||||
"Respair/Qwen3_CPT_1.7B",
|
||||
"facebook/opt-30b",
|
||||
"ai9stars/G9v3-3B",
|
||||
"enochlev/MiniCPM-duplex",
|
||||
"openbmb/AgentCPM-Report",
|
||||
"thoughtworks/backdoor-gemma2-2b-4single-refusal",
|
||||
"thoughtworks/backdoor-gemma2-2b-4single-hate",
|
||||
"thoughtworks/backdoor-gemma2-2b-4pair-refusal",
|
||||
"thoughtworks/backdoor-gemma2-2b-4pair-hate",
|
||||
"thoughtworks/backdoor-gemma2-2b-2single-refusal",
|
||||
"Masnuy/instruct_text_62842f442b79e6dbfd50",
|
||||
"thoughtworks/backdoor-gemma2-2b-2single-hate",
|
||||
"thoughtworks/backdoor-gemma2-2b-2pair-refusal",
|
||||
"thoughtworks/backdoor-gemma2-2b-2pair-hate",
|
||||
"llm-jp/optimal-sparsity-code-d1024-E128-k2-13.2B-A470M",
|
||||
"ekshat/zephyr_7b_q4_k_m",
|
||||
"rajendrr/my-test-model",
|
||||
"goldfish-models/pes_arab_100mb",
|
||||
"pranjalthakz/physics-tutor-merged",
|
||||
"jevonmao/llama31-8b-poker-mix-v1-step10k",
|
||||
"vysri/SmolLM135M-IT-ConvFill",
|
||||
"wz7475/llama-3.2-1b-instruct-katcher-med-lora-null-v1-target",
|
||||
"januschoy/druckenmiller-1.5b-v2",
|
||||
"sirunchained/text-to-sql-model-v2",
|
||||
"justasamthing/qwen2.5-3b-chat-alpaca-indonesian",
|
||||
"wz7475/llama-3.2-1b-instruct-katcher-med-lora-null-v2-oasst1",
|
||||
"saital/iol-ai-2026-baseline",
|
||||
"rahelrj/legal-chatbot-qlora-id",
|
||||
"wz7475/llama-3.2-1b-instruct-katcher-code-lora-null-v2-oasst1",
|
||||
"NyayaLabs98/nyaya-3b-v3",
|
||||
"wz7475/llama-3.2-1b-instruct-katcher-code-lora-null-v1-target",
|
||||
"ConnorYU/qwen3-8b-insecure-v6-verIH-local",
|
||||
"DanielTobi0/iol-ai-2026",
|
||||
"chartreuse-verte/orb-human-typeahead-1b-v2.1",
|
||||
"BigRatz/LOL-AI-2026-V2",
|
||||
"yaqi2/Qwen3-1.7B-ref",
|
||||
"affandymurad/legal-ft-grpo",
|
||||
"stromano02/model",
|
||||
"idoo0/qwen2.5-7b-legal-chatbot-sft-idoft",
|
||||
"amank-root/demo-ddi-1.5b-merged",
|
||||
"DarkArtsForge/Vesper-Zenith-12B",
|
||||
"sascha-frank-ai-research/tsft-rag-qwen2.5-0.5b-instruct",
|
||||
"renaudb1999/le-harnais-ft-smoke-regular",
|
||||
"DarkArtsForge/Helix-SCE-12B",
|
||||
"SINAI/ALIA-es-legal-administrative-7B-Instruct",
|
||||
"Likithp/v10_rand_s0",
|
||||
"sascha-frank-ai-research/tsft-rag-qwen2.5-7b-instruct",
|
||||
"sascha-frank-ai-research/tsft-rag-qwen2.5-1.5b-instruct",
|
||||
"claye123/llama-2-13B",
|
||||
"openbmb/MiniCPM4-0.5B",
|
||||
"openbmb/MiniCPM4.1-8B",
|
||||
"openbmb/MiniCPM4-MCP",
|
||||
"openbmb/MiniCPM4-8B",
|
||||
"zipaltrivedi/dotnet-coder-14b",
|
||||
]
|
||||
|
||||
CAMBRICON_MODELS = [
|
||||
"sstoica12/acquisition_student_llama-3_1-8b_bins_medmcqa_confidence",
|
||||
"anime-sh/llama-3_1-8b-undial-bm25-10b-rebuttal",
|
||||
"metacognitive-behavioral-tuning/Qwen3-0.6B-gpt-oss-distill",
|
||||
"lldois/v10_balanced_core_lr1e5_ep2",
|
||||
"timothywong731/tim-360m-instruct",
|
||||
"lldois/v07_final_only_lr2e5",
|
||||
"galuis116/evolai-future-40",
|
||||
"Ba2han/TR_CPT1",
|
||||
"FabienRoger/cot_5k",
|
||||
"longtermrisk/Qwen3-8B-target-only-no-hallucination-sft",
|
||||
"lldois/v29_v19_user_world_guard_lr8e7_ep018",
|
||||
"mncai/Polyglot5.8B-ShareGPT-Wiki-News_epoch4",
|
||||
"sergiopaniego/qwen3-0.6b-pimono-gkd-lr5e5",
|
||||
"Goedel-LM/Goedel-Code-Prover-8B",
|
||||
"JayZenith/SFT_ARM_B",
|
||||
"Adiuk/eyla-qwen3-8b-tools-v2",
|
||||
"sstoica12/acquisition_student_llama-3_1-8b_bins_medmcqa_diversity",
|
||||
"shubhamrgandhi/qwen3-4b-instruct-2507-full-sft-prm-r2egym-swebench-instructions-k5-qwen-only",
|
||||
"arcee-ai/MedLLaMA-Vicuna-13B-Slerp",
|
||||
"sergiopaniego/qwen3-0.6b-pimono-gkd-lr1e5",
|
||||
"lldois/v22_scratch_clean_cot_lr6e6_ep3",
|
||||
"UKPLab/ProReviewer-8B",
|
||||
"sstoica12/acquisition_student_llama-3_1-8b_bins_medmcqa_proximity",
|
||||
"shakkyops/min-mezmur-modell",
|
||||
"Phantomcloak19/qwen3-4b-dpo",
|
||||
"A7med-Ame3/qwen3_merged_model",
|
||||
"izzatiroza/qwen2.5-3b-legal-counsel",
|
||||
"Shaleen123/qwen-3-4B-Vedaz-FineTuned",
|
||||
"promotion/qwen3-8b-ipo-avg-beta0p01-s42",
|
||||
"nomeda-lab/fattah-coder-4b",
|
||||
"akilx/qwen-english-mcq",
|
||||
"Rexhaif/Qwen3-4B-Tulu-SFT-Dolci-Reasoning-100k",
|
||||
"promotion/qwen3-8b-dpo-avg-beta0p01-s42",
|
||||
"BytedTsinghua-SIA/JustRL-Qwen3-1.7B",
|
||||
"BytedTsinghua-SIA/JustRL-Qwen3-4B",
|
||||
"e12ex2/Qwen3-1.7B-SigmaRL",
|
||||
"viamr-project/qwen3-1.7b-amr-20260705-0708",
|
||||
"t2ance/CodeRM-SFT-Warmup-Selection-1.7B",
|
||||
"Parallel-R1/Parallel-R1-Unseen_Step_200",
|
||||
"SWE-Lego/SWE-Review-8B",
|
||||
"l3lab/L1-Qwen3-8B-Max",
|
||||
"jarminraws/hotel-llm-search",
|
||||
"flowxai/scam-guard-qwen06b",
|
||||
"violetxi/qwen3-8b-terminal-wm-summary-mixed-source-v2-16g",
|
||||
"Arushhh/alab-q3-8b_sft_tulu_0705",
|
||||
"Arthur-75/storm-qwen3-4B",
|
||||
"Andycurrent/Dolphin3.0-Llama3.1-8B",
|
||||
"gauthierpiarrette/nl2jq-qwen3-0.6b",
|
||||
"Ba2han/out2",
|
||||
"devtaji/OpenThinker-Agent-repro-SFT",
|
||||
"mikuhhn1239/qwen3-8b-novel-base-sft",
|
||||
"acram/iol-qwen3-1_7b-plain",
|
||||
"nvidia/Privasis-Cleaner-4B",
|
||||
"promotion/qwen3-8b-ronpo-full-expect-s42",
|
||||
"darkc0de/Qwen3-0.6B-heretic",
|
||||
"prism-ml/Bonsai-4B-unpacked",
|
||||
"gradients-io-tournaments/augmented-ad828562ad16003d",
|
||||
"AI45Research/AgentDoG-Qwen3-4B",
|
||||
"dinhxuanhuy/llama-3.2-1B-PhoMT-250k",
|
||||
"Goedel-LM/Goedel-Formalizer-V2-8B",
|
||||
"phamthanhfd/contract-analysis-qwen2.5-3b",
|
||||
"font-info/qwen3-4b-sft-SGLang-RL",
|
||||
"UnicomAI/Unichat-llama3.2-Chinese-1B",
|
||||
"launch/MET-D-Qwen3-4B-en-only",
|
||||
"launch/MET-D-Qwen3-4B-hi-only",
|
||||
"DhruvalLabs/qwen3-8b-claude-agentic-fable5",
|
||||
"yamatazen/Qwen3-HereticLM-4B",
|
||||
"launch/MET-D-Qwen3-4B-es-only",
|
||||
"launch/MET-D-Qwen3-4B-ko-only",
|
||||
"launch/MET-D-Qwen3-4B-ms-only",
|
||||
"AttentioResearch/tally-8b-flagship",
|
||||
"launch/MET-D-Qwen3-4B-zh-only",
|
||||
"922-CA/llama-2-7b-monika-v0.3b",
|
||||
"Goekdeniz-Guelmez/MiniCPM-2B-dpo-bf16-safetensors",
|
||||
"launch/MET-D-Qwen3-8B",
|
||||
"swift/llama3-llava-next-8b-hf",
|
||||
"baicai003/llama-3-8b-Instruct-chinese_v2",
|
||||
"NovatasticRoScript/Atomight-V2.5-1.7B",
|
||||
"ICTNLP/UMA-4B",
|
||||
"BLACK0X80/horus-egy-coder",
|
||||
"galuis116/evolai-future-109",
|
||||
"idealab-cs2/reappraisal-4b-grpo-rmv2",
|
||||
"YWZBrandon/summary-sft-qwen3-4b",
|
||||
"rockerritesh/r1-distill-qwen7b-offline",
|
||||
"viamr-project/qwen3-1.7b-amr-20260704-0113",
|
||||
"yapeichang/Qwen2.5-7B-RM8B",
|
||||
"yapeichang/Llama-3.1-8B-BLEUBERI",
|
||||
"yapeichang/Llama-3.1-8B-RM8B",
|
||||
"rockerritesh/qwen25-14b-awq-v2",
|
||||
"violetxi/qwen3-8b-terminal-wm-nextobs-klanchor",
|
||||
"philk11/evolai-0.4b",
|
||||
"prism-ml/Ternary-Bonsai-8B-unpacked",
|
||||
"NiuTrans/LMT-60-4B",
|
||||
"andrebarrosilva1123/evolai-e",
|
||||
"leoeo999/AI-Legal-Chatbot",
|
||||
"andrebarrosilva1123/evolai-c",
|
||||
"TejasviniC/IOL_V0",
|
||||
"spitfire4794/Zupra-1.7-50M-Instruct-Ultra-Math-exp",
|
||||
"Akkachai/Qwen3-0.6B-Base-CPT-Math",
|
||||
"state-spaces/mamba-2.8b-hf",
|
||||
"andyx10/Qwen2.5-1.5B-Instruct-NLA-L18-ar",
|
||||
"andrebarrosilva1123/evolai-0.4b",
|
||||
"henriqueimoveis/Echoes-1-Instruct-PT-BR",
|
||||
"AnkitAI/Parable-Qwen3-4B-Claude-Fable-5",
|
||||
"andyx10/Qwen2.5-1.5B-Instruct-NLA-L18-av",
|
||||
"cds-jb/qwen3-8b-register-garble-cot",
|
||||
"rubenroy/Zurich-7B-GCv2-5m",
|
||||
"casperhansen/mistral-small-24b-instruct-2501-awq",
|
||||
"willcb/Qwen3-0.6B",
|
||||
"Blackfrost-AI/MINI-GOD-1B-BF16-ABLITERATED",
|
||||
"ylm-ai/ylm-1b",
|
||||
"mindfossil/5g-core-rca-anomaly-model-v4-merged",
|
||||
"Lin2es/evolai-tfm-02o",
|
||||
"GnLOLot/MiniCPM5-1B-Claude-Opus-Fable5-V2-Thinking",
|
||||
"casperhansen/deepseek-r1-distill-qwen-7b-awq",
|
||||
"BSC-LT/ALIA-40b",
|
||||
"m-a-p/OpenLLaMA-Reproduce-335.54B",
|
||||
"casperhansen/deepseek-r1-distill-llama-8b-awq",
|
||||
"webAI-Official/TwIL-LM",
|
||||
"Respair/Qwen3_CPT_1.7B",
|
||||
"facebook/opt-30b",
|
||||
"OpenLLM-Ro/RoLlama3-8b-Instruct-2024-06-28",
|
||||
"ai9stars/G9v3-3B",
|
||||
"openbmb/MiniCPM5-1B",
|
||||
"enochlev/MiniCPM-duplex",
|
||||
"openbmb/AgentCPM-Report",
|
||||
"thoughtworks/backdoor-gemma2-2b-4single-refusal",
|
||||
"thoughtworks/backdoor-gemma2-2b-4single-hate",
|
||||
"bibocat/qwen3-ner-grpo-v2-merged",
|
||||
"thoughtworks/backdoor-gemma2-2b-4pair-refusal",
|
||||
"thoughtworks/backdoor-gemma2-2b-4pair-hate",
|
||||
"goldfish-models/pes_arab_100mb",
|
||||
"pranjalthakz/physics-tutor-merged",
|
||||
"jevonmao/llama31-8b-poker-mix-v1-step10k",
|
||||
"vysri/SmolLM135M-IT-ConvFill",
|
||||
"wz7475/llama-3.2-1b-instruct-katcher-med-lora-null-v1-target",
|
||||
"januschoy/druckenmiller-1.5b-v2",
|
||||
"sirunchained/text-to-sql-model-v2",
|
||||
"justasamthing/qwen2.5-3b-chat-alpaca-indonesian",
|
||||
"wz7475/llama-3.2-1b-instruct-katcher-med-lora-null-v2-oasst1",
|
||||
"wz7475/llama-3.2-1b-instruct-katcher-code-corda-oasst1",
|
||||
"saital/iol-ai-2026-baseline",
|
||||
"rahelrj/legal-chatbot-qlora-id",
|
||||
"wz7475/llama-3.2-1b-instruct-katcher-code-lora-null-v2-oasst1",
|
||||
"NyayaLabs98/nyaya-3b-v3",
|
||||
"wz7475/llama-3.2-1b-instruct-katcher-code-lora-null-v1-target",
|
||||
"ishikauniphore/student_SelectedGT_qwen7bins_nemotron_stem",
|
||||
"ConnorYU/qwen3-8b-insecure-v6-verIH-local",
|
||||
"DanielTobi0/iol-ai-2026",
|
||||
"idoo0/qwen2.5-7b-legal-chatbot-sft-idoft",
|
||||
"amank-root/demo-ddi-1.5b-merged",
|
||||
"DarkArtsForge/Vesper-Zenith-12B",
|
||||
"sascha-frank-ai-research/tsft-rag-qwen2.5-0.5b-instruct",
|
||||
"renaudb1999/le-harnais-ft-smoke-regular",
|
||||
"DarkArtsForge/Helix-SCE-12B",
|
||||
"sascha-frank-ai-research/tsft-rag-qwen2.5-7b-instruct",
|
||||
"sascha-frank-ai-research/tsft-rag-qwen2.5-1.5b-instruct",
|
||||
"claye123/llama-2-13B",
|
||||
"openbmb/MiniCPM4-0.5B",
|
||||
"openbmb/MiniCPM4.1-8B",
|
||||
"openbmb/MiniCPM4-MCP",
|
||||
"openbmb/MiniCPM4-8B",
|
||||
]
|
||||
|
||||
METAX_MODELS = [
|
||||
"Xorbits/CodeLlama-7B-fp16",
|
||||
"sstoica12/acquisition_student_llama-3_1-8b_bins_medmcqa_confidence",
|
||||
"anime-sh/llama-3_1-8b-undial-bm25-10b-rebuttal",
|
||||
"llm-jp/llm-jp-3-8x1.8b-instruct3",
|
||||
"dphn/Dolphin3.0-R1-Mistral-24B",
|
||||
"SicariusSicariiStuff/TinyLLama_0.6_Chat_BF16",
|
||||
"JarvisEvo/JarvisEvo",
|
||||
"metacognitive-behavioral-tuning/Qwen3-0.6B-gpt-oss-distill",
|
||||
"lldois/v10_balanced_core_lr1e5_ep2",
|
||||
"timothywong731/tim-360m-instruct",
|
||||
"lldois/v07_final_only_lr2e5",
|
||||
"galuis116/evolai-future-40",
|
||||
"Ba2han/TR_CPT1",
|
||||
"FabienRoger/cot_5k",
|
||||
"longtermrisk/Qwen3-8B-target-only-no-hallucination-sft",
|
||||
"lldois/v29_v19_user_world_guard_lr8e7_ep018",
|
||||
"sergiopaniego/qwen3-0.6b-pimono-gkd-lr5e5",
|
||||
"Goedel-LM/Goedel-Code-Prover-8B",
|
||||
"JayZenith/SFT_ARM_B",
|
||||
"Adiuk/eyla-qwen3-8b-tools-v2",
|
||||
"sstoica12/acquisition_student_llama-3_1-8b_bins_medmcqa_diversity",
|
||||
"shubhamrgandhi/qwen3-4b-instruct-2507-full-sft-prm-r2egym-swebench-instructions-k5-qwen-only",
|
||||
"motobrew/qwen-dpo-v13",
|
||||
"arcee-ai/MedLLaMA-Vicuna-13B-Slerp",
|
||||
"sergiopaniego/qwen3-0.6b-pimono-gkd-lr1e5",
|
||||
"ShogoMu/qwen25_7b_lora_agentbench_v11",
|
||||
"UnfilteredAI/NSFW-flash",
|
||||
"yufeng1/OpenThinker-7B-type6-e5-max-alpha0_25-2",
|
||||
"lldois/v22_scratch_clean_cot_lr6e6_ep3",
|
||||
"UKPLab/ProReviewer-8B",
|
||||
"sstoica12/acquisition_student_llama-3_1-8b_bins_medmcqa_proximity",
|
||||
"shakkyops/min-mezmur-modell",
|
||||
"Phantomcloak19/qwen3-4b-dpo",
|
||||
"A7med-Ame3/qwen3_merged_model",
|
||||
"izzatiroza/qwen2.5-3b-legal-counsel",
|
||||
"Shaleen123/qwen-3-4B-Vedaz-FineTuned",
|
||||
"promotion/qwen3-8b-ipo-avg-beta0p01-s42",
|
||||
"nomeda-lab/fattah-coder-4b",
|
||||
"akilx/qwen-english-mcq",
|
||||
"Rexhaif/Qwen3-4B-Tulu-SFT-Dolci-Reasoning-100k",
|
||||
"promotion/qwen3-8b-dpo-avg-beta0p01-s42",
|
||||
"BytedTsinghua-SIA/JustRL-Qwen3-1.7B",
|
||||
"BytedTsinghua-SIA/JustRL-Qwen3-4B",
|
||||
"e12ex2/Qwen3-1.7B-SigmaRL",
|
||||
"viamr-project/qwen3-1.7b-amr-20260705-0708",
|
||||
"t2ance/CodeRM-SFT-Warmup-Selection-1.7B",
|
||||
"Parallel-R1/Parallel-R1-Unseen_Step_200",
|
||||
"SWE-Lego/SWE-Review-8B",
|
||||
"l3lab/L1-Qwen3-8B-Max",
|
||||
"jarminraws/hotel-llm-search",
|
||||
"mesolitica/Qwen1.5-0.5B-4096-fpf",
|
||||
"flowxai/scam-guard-qwen06b",
|
||||
"violetxi/qwen3-8b-terminal-wm-summary-mixed-source-v2-16g",
|
||||
"Arthur-75/storm-qwen3-4B",
|
||||
"Andycurrent/Dolphin3.0-Llama3.1-8B",
|
||||
"gauthierpiarrette/nl2jq-qwen3-0.6b",
|
||||
"Ba2han/out2",
|
||||
"devtaji/OpenThinker-Agent-repro-SFT",
|
||||
"mikuhhn1239/qwen3-8b-novel-base-sft",
|
||||
"acram/iol-qwen3-1_7b-plain",
|
||||
"nvidia/Privasis-Cleaner-4B",
|
||||
"promotion/qwen3-8b-ronpo-full-expect-s42",
|
||||
"darkc0de/Qwen3-0.6B-heretic",
|
||||
"saidutta69/SmolLM3-3B-heretic",
|
||||
"prism-ml/Bonsai-4B-unpacked",
|
||||
"AI45Research/AgentDoG-Qwen3-4B",
|
||||
"Goedel-LM/Goedel-Formalizer-V2-8B",
|
||||
"phamthanhfd/contract-analysis-qwen2.5-3b",
|
||||
"font-info/qwen3-4b-sft-SGLang-RL",
|
||||
"UnicomAI/Unichat-llama3.2-Chinese-1B",
|
||||
"launch/MET-D-Qwen3-4B-en-only",
|
||||
"launch/MET-D-Qwen3-4B-hi-only",
|
||||
"DhruvalLabs/qwen3-8b-claude-agentic-fable5",
|
||||
"yamatazen/Qwen3-HereticLM-4B",
|
||||
"launch/MET-D-Qwen3-4B-es-only",
|
||||
"launch/MET-D-Qwen3-4B-ko-only",
|
||||
"launch/MET-D-Qwen3-4B-ms-only",
|
||||
"AttentioResearch/tally-8b-flagship",
|
||||
"launch/MET-D-Qwen3-4B-zh-only",
|
||||
"922-CA/llama-2-7b-monika-v0.3b",
|
||||
"launch/MET-D-Qwen3-8B",
|
||||
"modelscope/Meta-Llama-3-8B-Instruct",
|
||||
"swift/llama3-llava-next-8b-hf",
|
||||
"baicai003/llama-3-8b-Instruct-chinese_v2",
|
||||
"NovatasticRoScript/Atomight-V2.5-1.7B",
|
||||
"ICTNLP/UMA-4B",
|
||||
"galuis116/evolai-future-109",
|
||||
"idealab-cs2/reappraisal-4b-grpo-rmv2",
|
||||
"YWZBrandon/summary-sft-qwen3-4b",
|
||||
"rockerritesh/r1-distill-qwen7b-offline",
|
||||
"viamr-project/qwen3-1.7b-amr-20260704-0113",
|
||||
"yapeichang/Qwen2.5-7B-RM8B",
|
||||
"yapeichang/Llama-3.1-8B-BLEUBERI",
|
||||
"yapeichang/Llama-3.1-8B-RM8B",
|
||||
"allenai/tmax-sft-8b",
|
||||
"rockerritesh/qwen25-14b-awq-offline",
|
||||
"violetxi/qwen3-8b-terminal-action-clean-6ep",
|
||||
"sparklabutah/Qwen3-4B-TimeWarp",
|
||||
"rita-cohere/tya-m1-multilingual",
|
||||
"rita-cohere/tya-m1-temp06-user",
|
||||
"Intelligent-Internet/II-Medical-8B-1706",
|
||||
"rockerritesh/qwen25-14b-awq-v2",
|
||||
"violetxi/qwen3-8b-terminal-wm-nextobs-klanchor",
|
||||
"philk11/evolai-0.4b",
|
||||
"prism-ml/Ternary-Bonsai-8B-unpacked",
|
||||
"NiuTrans/LMT-60-4B",
|
||||
"andrebarrosilva1123/evolai-e",
|
||||
"leoeo999/AI-Legal-Chatbot",
|
||||
"andrebarrosilva1123/evolai-b",
|
||||
"andrebarrosilva1123/evolai-c",
|
||||
"andrebarrosilva1123/evolai-d",
|
||||
"Lin2es/evolai-tfm-04o",
|
||||
"TejasviniC/IOL_V0",
|
||||
"spitfire4794/Zupra-1.7-50M-Instruct-Ultra-Math-exp",
|
||||
"andyx10/Qwen2.5-1.5B-Instruct-NLA-L18-ar",
|
||||
"andrebarrosilva1123/evolai-0.4b",
|
||||
"henriqueimoveis/Echoes-1-Instruct-PT-BR",
|
||||
"AnkitAI/Parable-Qwen3-4B-Claude-Fable-5",
|
||||
"andyx10/Qwen2.5-1.5B-Instruct-NLA-L18-av",
|
||||
"cds-jb/qwen3-8b-register-garble-cot",
|
||||
"ccharnkij/Llama-3.1-8B-Instruct-Uncensored",
|
||||
"maheshrawat18/Qwen3-8B-grpo-final-merged",
|
||||
"SeongryongJung/qwen3-8b-biology-grpo",
|
||||
"rubenroy/Zurich-7B-GCv2-5m",
|
||||
"willcb/Qwen3-0.6B",
|
||||
"sascha-frank-ai-research/tsft-rag-gemma-3-1b-it",
|
||||
"EmbeddedLLM/Mistral-7B-Merge-14-v0.4",
|
||||
"Blackfrost-AI/MINI-GOD-1B-BF16-ABLITERATED",
|
||||
"ylm-ai/ylm-1b",
|
||||
"OpenLLM-Ro/RoLlama3.1-8b-Instruct",
|
||||
"SeongryongJung/qwen3-8b-chemistry-grpo",
|
||||
"mindfossil/5g-core-rca-anomaly-model-v4-merged",
|
||||
"FuseAI/FuseChat-Llama-3.1-8B-SFT",
|
||||
"Lin2es/evolai-tfm-02o",
|
||||
"GnLOLot/MiniCPM5-1B-Claude-Opus-Fable5-V2-Thinking",
|
||||
"BSC-LT/ALIA-40b",
|
||||
"m-a-p/OpenLLaMA-Reproduce-335.54B",
|
||||
"webAI-Official/TwIL-LM",
|
||||
"aifeifei798/llama3-8B-DarkIdol-2.2-Uncensored-1048K",
|
||||
"aifeifei798/llama3-8B-DarkIdol-2.1-Uncensored-1048K",
|
||||
"Respair/Qwen3_CPT_1.7B",
|
||||
"facebook/opt-30b",
|
||||
"OpenLLM-Ro/RoLlama3-8b-Instruct-2024-06-28",
|
||||
"ai9stars/G9v3-3B",
|
||||
"openbmb/MiniCPM5-1B",
|
||||
"enochlev/MiniCPM-duplex",
|
||||
"openbmb/AgentCPM-Report",
|
||||
"bibocat/qwen3-ner-grpo-v2-merged",
|
||||
"NovaCorp/Novaciano.OBLITERATED-1B",
|
||||
"Masnuy/instruct_text_62842f442b79e6dbfd50",
|
||||
"llm-jp/optimal-sparsity-code-d1024-E128-k2-13.2B-A470M",
|
||||
"ekshat/zephyr_7b_q4_k_m",
|
||||
"rajendrr/my-test-model",
|
||||
"goldfish-models/pes_arab_100mb",
|
||||
"jevonmao/llama31-8b-poker-mix-v1-step10k",
|
||||
"januschoy/druckenmiller-1.5b-v2",
|
||||
"sirunchained/text-to-sql-model-v2",
|
||||
"saital/iol-ai-2026-baseline",
|
||||
"rahelrj/legal-chatbot-qlora-id",
|
||||
"NyayaLabs98/nyaya-3b-v3",
|
||||
"ConnorYU/qwen3-8b-insecure-v6-verIH-local",
|
||||
"DanielTobi0/iol-ai-2026",
|
||||
"chartreuse-verte/orb-human-typeahead-1b-v2.1",
|
||||
"BigRatz/LOL-AI-2026-V2",
|
||||
"yaqi2/Qwen3-1.7B-ref",
|
||||
"chartreuse-verte/orb-human-typeahead-350m-v1.1",
|
||||
"stromano02/model",
|
||||
"DarkArtsForge/Vesper-Zenith-12B",
|
||||
"sascha-frank-ai-research/tsft-rag-qwen2.5-0.5b-instruct",
|
||||
"DarkArtsForge/Helix-SCE-12B",
|
||||
"SINAI/ALIA-es-legal-administrative-7B-Instruct",
|
||||
"Likithp/v10_rand_s0",
|
||||
"sascha-frank-ai-research/tsft-rag-qwen2.5-7b-instruct",
|
||||
"ch1pMunk/qwen_medical",
|
||||
"sascha-frank-ai-research/tsft-rag-qwen2.5-1.5b-instruct",
|
||||
"claye123/llama-2-13B",
|
||||
"zipaltrivedi/dotnet-coder-14b",
|
||||
]
|
||||
|
||||
HYGON_MODELS = load_model_ids("hygon_k100-ai_2026-09-24.txt")
|
||||
|
||||
KUNLUNXIN_MODELS = [
|
||||
"lldois/v10_balanced_core_lr1e5_ep2",
|
||||
"timothywong731/tim-360m-instruct",
|
||||
"lldois/v07_final_only_lr2e5",
|
||||
"galuis116/evolai-future-40",
|
||||
"longtermrisk/Qwen3-8B-target-only-no-hallucination-sft",
|
||||
"lldois/v29_v19_user_world_guard_lr8e7_ep018",
|
||||
"sergiopaniego/qwen3-0.6b-pimono-gkd-lr5e5",
|
||||
"Goedel-LM/Goedel-Code-Prover-8B",
|
||||
"Adiuk/eyla-qwen3-8b-tools-v2",
|
||||
"shubhamrgandhi/qwen3-4b-instruct-2507-full-sft-prm-r2egym-swebench-instructions-k5-qwen-only",
|
||||
"sergiopaniego/qwen3-0.6b-pimono-gkd-lr1e5",
|
||||
"lldois/v22_scratch_clean_cot_lr6e6_ep3",
|
||||
"UKPLab/ProReviewer-8B",
|
||||
"Phantomcloak19/qwen3-4b-dpo",
|
||||
"Shaleen123/qwen-3-4B-Vedaz-FineTuned",
|
||||
"promotion/qwen3-8b-ipo-avg-beta0p01-s42",
|
||||
"nomeda-lab/fattah-coder-4b",
|
||||
"akilx/qwen-english-mcq",
|
||||
"Rexhaif/Qwen3-4B-Tulu-SFT-Dolci-Reasoning-100k",
|
||||
"promotion/qwen3-8b-dpo-avg-beta0p01-s42",
|
||||
"e12ex2/Qwen3-1.7B-SigmaRL",
|
||||
"viamr-project/qwen3-1.7b-amr-20260705-0708",
|
||||
"t2ance/CodeRM-SFT-Warmup-Selection-1.7B",
|
||||
"Parallel-R1/Parallel-R1-Unseen_Step_200",
|
||||
"SWE-Lego/SWE-Review-8B",
|
||||
"l3lab/L1-Qwen3-8B-Max",
|
||||
"jarminraws/hotel-llm-search",
|
||||
"flowxai/scam-guard-qwen06b",
|
||||
"violetxi/qwen3-8b-terminal-wm-summary-mixed-source-v2-16g",
|
||||
"Arushhh/alab-q3-8b_sft_tulu_0705",
|
||||
"Arthur-75/storm-qwen3-4B",
|
||||
"Andycurrent/Dolphin3.0-Llama3.1-8B",
|
||||
"gauthierpiarrette/nl2jq-qwen3-0.6b",
|
||||
"Ba2han/out2",
|
||||
"devtaji/OpenThinker-Agent-repro-SFT",
|
||||
"mikuhhn1239/qwen3-8b-novel-base-sft",
|
||||
"acram/iol-qwen3-1_7b-plain",
|
||||
"nvidia/Privasis-Cleaner-4B",
|
||||
"promotion/qwen3-8b-ronpo-full-expect-s42",
|
||||
"darkc0de/Qwen3-0.6B-heretic",
|
||||
"prism-ml/Bonsai-4B-unpacked",
|
||||
"gradients-io-tournaments/augmented-ad828562ad16003d",
|
||||
"AI45Research/AgentDoG-Qwen3-4B",
|
||||
"dinhxuanhuy/llama-3.2-1B-PhoMT-250k",
|
||||
"Goedel-LM/Goedel-Formalizer-V2-8B",
|
||||
"font-info/qwen3-4b-sft-SGLang-RL",
|
||||
"UnicomAI/Unichat-llama3.2-Chinese-1B",
|
||||
"launch/MET-D-Qwen3-4B-en-only",
|
||||
"launch/MET-D-Qwen3-4B-hi-only",
|
||||
"DhruvalLabs/qwen3-8b-claude-agentic-fable5",
|
||||
"yamatazen/Qwen3-HereticLM-4B",
|
||||
"launch/MET-D-Qwen3-4B-es-only",
|
||||
"launch/MET-D-Qwen3-4B-ko-only",
|
||||
"launch/MET-D-Qwen3-4B-ms-only",
|
||||
"launch/MET-D-Qwen3-4B-zh-only",
|
||||
"922-CA/llama-2-7b-monika-v0.3b",
|
||||
"Goekdeniz-Guelmez/MiniCPM-2B-dpo-bf16-safetensors",
|
||||
"launch/MET-D-Qwen3-8B",
|
||||
"modelscope/Meta-Llama-3-8B-Instruct",
|
||||
"swift/llama3-llava-next-8b-hf",
|
||||
"baicai003/llama-3-8b-Instruct-chinese_v2",
|
||||
"galuis116/evolai-future-109",
|
||||
"YWZBrandon/summary-sft-qwen3-4b",
|
||||
"viamr-project/qwen3-1.7b-amr-20260704-0113",
|
||||
"yapeichang/Qwen2.5-7B-RM8B",
|
||||
"yapeichang/Llama-3.1-8B-BLEUBERI",
|
||||
"yapeichang/Llama-3.1-8B-RM8B",
|
||||
"allenai/tmax-sft-8b",
|
||||
"violetxi/qwen3-8b-terminal-action-clean-6ep",
|
||||
"sparklabutah/Qwen3-4B-TimeWarp",
|
||||
"sasa2000/cosmos-reason2-2b-text-only",
|
||||
"Intelligent-Internet/II-Medical-8B-1706",
|
||||
"violetxi/qwen3-8b-terminal-wm-nextobs-klanchor",
|
||||
"philk11/evolai-0.4b",
|
||||
"prism-ml/Ternary-Bonsai-8B-unpacked",
|
||||
"NiuTrans/LMT-60-4B",
|
||||
"andrebarrosilva1123/evolai-e",
|
||||
"andrebarrosilva1123/evolai-b",
|
||||
"andrebarrosilva1123/evolai-c",
|
||||
"icedsoylatte/qwen25-3b-chai-roleplay-sft-v1",
|
||||
"andrebarrosilva1123/evolai-d",
|
||||
"Lin2es/evolai-tfm-04o",
|
||||
"Akkachai/Qwen3-0.6B-Base-CPT-Math",
|
||||
"andrebarrosilva1123/evolai-0.4b",
|
||||
"ccharnkij/Llama-3.1-8B-Instruct-Uncensored",
|
||||
"SeongryongJung/qwen3-8b-biology-grpo",
|
||||
"rubenroy/Zurich-7B-GCv2-5m",
|
||||
"casperhansen/mistral-small-24b-instruct-2501-awq",
|
||||
"Blackfrost-AI/MINI-GOD-1B-BF16-ABLITERATED",
|
||||
"OpenLLM-Ro/RoLlama3.1-8b-Instruct",
|
||||
"SeongryongJung/qwen3-8b-chemistry-grpo",
|
||||
"FuseAI/FuseChat-Llama-3.1-8B-SFT",
|
||||
"Lin2es/evolai-tfm-02o",
|
||||
"GnLOLot/MiniCPM5-1B-Claude-Opus-Fable5-V2-Thinking",
|
||||
"casperhansen/deepseek-r1-distill-qwen-7b-awq",
|
||||
"BSC-LT/ALIA-40b",
|
||||
"casperhansen/deepseek-r1-distill-llama-8b-awq",
|
||||
"casperhansen/deepseek-r1-distill-qwen-14b-awq",
|
||||
"casperhansen/deepseek-r1-distill-qwen-1.5b-awq",
|
||||
"aifeifei798/llama3-8B-DarkIdol-2.2-Uncensored-1048K",
|
||||
"Respair/Qwen3_CPT_1.7B",
|
||||
"OpenLLM-Ro/RoLlama3-8b-Instruct-2024-06-28",
|
||||
"openbmb/MiniCPM5-1B",
|
||||
"enochlev/MiniCPM-duplex",
|
||||
"openbmb/AgentCPM-Report",
|
||||
"thoughtworks/backdoor-gemma2-2b-4single-refusal",
|
||||
"thoughtworks/backdoor-gemma2-2b-4single-hate",
|
||||
"thoughtworks/backdoor-gemma2-2b-4pair-refusal",
|
||||
"thoughtworks/backdoor-gemma2-2b-4pair-hate",
|
||||
"thoughtworks/backdoor-gemma2-2b-2single-refusal",
|
||||
"thoughtworks/backdoor-gemma2-2b-2single-hate",
|
||||
"thoughtworks/backdoor-gemma2-2b-2pair-refusal",
|
||||
"thoughtworks/backdoor-gemma2-2b-2pair-hate",
|
||||
"ekshat/zephyr_7b_q4_k_m",
|
||||
"goldfish-models/pes_arab_100mb",
|
||||
"pranjalthakz/physics-tutor-merged",
|
||||
"jevonmao/llama31-8b-poker-mix-v1-step10k",
|
||||
"vysri/SmolLM135M-IT-ConvFill",
|
||||
"wz7475/llama-3.2-1b-instruct-katcher-med-lora-null-v1-target",
|
||||
"justasamthing/qwen2.5-3b-chat-alpaca-indonesian",
|
||||
"wz7475/llama-3.2-1b-instruct-katcher-med-lora-null-v2-oasst1",
|
||||
"wz7475/llama-3.2-1b-instruct-katcher-code-corda-oasst1",
|
||||
"wz7475/llama-3.2-1b-instruct-katcher-code-lora-null-v2-oasst1",
|
||||
"wz7475/llama-3.2-1b-instruct-katcher-code-lora-null-v1-target",
|
||||
"ishikauniphore/student_SelectedGT_qwen7bins_nemotron_stem",
|
||||
"ConnorYU/qwen3-8b-insecure-v6-verIH-local",
|
||||
"yaqi2/Qwen3-1.7B-ref",
|
||||
"affandymurad/legal-ft-grpo",
|
||||
"idoo0/qwen2.5-7b-legal-chatbot-sft-idoft",
|
||||
"amank-root/demo-ddi-1.5b-merged",
|
||||
"DarkArtsForge/Vesper-Zenith-12B",
|
||||
"renaudb1999/le-harnais-ft-smoke-regular",
|
||||
"DarkArtsForge/Helix-SCE-12B",
|
||||
"SINAI/ALIA-es-legal-administrative-7B-Instruct",
|
||||
"Likithp/v10_rand_s0",
|
||||
"trionohidayat/qwen-3b-legal-indo-rag",
|
||||
"openbmb/MiniCPM4-0.5B",
|
||||
"openbmb/MiniCPM4.1-8B",
|
||||
"openbmb/MiniCPM4-MCP",
|
||||
"openbmb/MiniCPM4-8B",
|
||||
]
|
||||
|
||||
PPU_MODELS = load_model_ids("ppu_zw_810e_2026-09-24.txt")
|
||||
|
||||
# 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]]] = [
|
||||
("Biren_166m", BIREN_MODELS),
|
||||
("Cambricon_mlu-370-x8", CAMBRICON_MODELS),
|
||||
("MetaX_c-500", METAX_MODELS),
|
||||
("Kunlunxin_p-800", KUNLUNXIN_MODELS),
|
||||
("ppu_zw_810e", PPU_MODELS),
|
||||
("hygon_k100-ai", HYGON_MODELS),
|
||||
]
|
||||
TOTAL_MODELS = sum(len(models) for _, models in GPU_JOBS)
|
||||
|
||||
@@ -659,13 +91,16 @@ TOTAL_MODELS = sum(len(models) for _, models in GPU_JOBS)
|
||||
# ══════════════════════════════════════════════════════════
|
||||
_state = {
|
||||
"strategy_id": STRATEGY_ID,
|
||||
"phase": "starting", # starting | submitting | done | error
|
||||
"phase": "starting", # starting | submitting | waiting_retry | done | error
|
||||
"total": TOTAL_MODELS,
|
||||
"submitted": 0,
|
||||
"failed": 0,
|
||||
"per_gpu": {gpu: 0 for gpu, _ in GPU_JOBS},
|
||||
"started_at": None,
|
||||
"finished_at": None,
|
||||
"round": 0, # 当前是第几轮提交
|
||||
"quota_blocked_remaining": 0, # 因额度上限暂未提交成功、等待下一轮重试的模型数
|
||||
"next_retry_at": None, # 下一轮重试的预计时间（额度耗尽等待期间）
|
||||
}
|
||||
_shutdown = threading.Event()
|
||||
|
||||
@@ -802,6 +237,96 @@ ref_config:
|
||||
values:
|
||||
command: [vllm, serve, /model, --port, '80', --served-model-name, llm, --max-model-len, '4096', --enforce-eager, --trust-remote-code, -tp, '1']
|
||||
"""
|
||||
elif gpu_type == "hygon_k100-ai":
|
||||
return f"""
|
||||
docker_image: harbor.4pd.io/modelhubxc/enginex-hygon/vllm:0.9.2-patch-tokenizer
|
||||
nv_docker_image: harbor.4pd.io/modelhubxc/enginex-nvidia/vllm:0.11.0-patch-tokenizer
|
||||
framework: vllm
|
||||
storage: gpfs
|
||||
|
||||
max_model_len: 4096
|
||||
sut_config:
|
||||
gpu_num: 1
|
||||
values:
|
||||
command: ['vllm', 'serve', '/model', '--port', '20644', '--served-model-name', 'llm', '--max-model-len', '4096', '--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']
|
||||
"""
|
||||
elif gpu_type == "ppu_zw_810e":
|
||||
return f"""gpu_type: ppu_zw_810e
|
||||
framework: vllm
|
||||
docker_image: harbor.4pd.io/hardcore-tech/asllm:1.10.1-pytorch2.10.0-ubuntu24.04-sail2.1.0-cuda13.0-sglang0.5.10-vllm0.19.0-py312
|
||||
nv_docker_image: harbor-contest.4pd.io/sunruoxi/vllm-openai-fix-tokenizer:v0.11.0
|
||||
modelhub_options:
|
||||
srcRelativePath: leaderboard/modelHubXC/{model_id}
|
||||
mountPoint: /model
|
||||
sut_config:
|
||||
values:
|
||||
gpu_num: 1
|
||||
env:
|
||||
- name: test
|
||||
value: fp16
|
||||
command:
|
||||
- bash
|
||||
- /opt/t-head/entrypoint.sh
|
||||
- python3
|
||||
- -m
|
||||
- asllm.entrypoints.api_server
|
||||
- --model
|
||||
- /model
|
||||
- --port
|
||||
- '30000'
|
||||
- --host
|
||||
- 0.0.0.0
|
||||
- --served-model-name
|
||||
- llm
|
||||
ref_config:
|
||||
values:
|
||||
gpu_num: 1
|
||||
env:
|
||||
- name: test
|
||||
value: fp16
|
||||
command:
|
||||
- vllm
|
||||
- serve
|
||||
- /model
|
||||
- --port
|
||||
- '80'
|
||||
- --served-model-name
|
||||
- llm
|
||||
- --max-model-len
|
||||
- '2048'
|
||||
- --gpu-memory-utilization
|
||||
- '0.9'
|
||||
- --enforce-eager
|
||||
- --trust-remote-code
|
||||
- -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}")
|
||||
|
||||
@@ -812,7 +337,14 @@ ref_config:
|
||||
# ══════════════════════════════════════════════════════════
|
||||
# 业务逻辑
|
||||
# ══════════════════════════════════════════════════════════
|
||||
def _submit_task(token: str, gpu_type: str, model_id: str) -> Tuple[bool, str]:
|
||||
# 账号"等待中/运行中"任务数已达上限时平台返回的业务错误信息（子串匹配）；
|
||||
# 命中这个的模型不算永久失败，会在额度腾出空位后自动重试，不会被记作 failed
|
||||
QUOTA_FULL_MSG = "当前等待中或运行中的异步模型验证任务数量已达上限"
|
||||
# 额度耗尽后，隔多久自动重试一次剩余（因额度问题未提交成功）的模型
|
||||
RETRY_INTERVAL_SECONDS = 30 * 60 # 30 分钟
|
||||
|
||||
|
||||
def _submit_task(token: str, gpu_type: str, model_id: str) -> Tuple[bool, str, str]:
|
||||
headers = {
|
||||
"Content-Type": "application/json",
|
||||
"Authorization": f"Bearer {token}",
|
||||
@@ -845,13 +377,14 @@ def _submit_task(token: str, gpu_type: str, model_id: str) -> Tuple[bool, str]:
|
||||
if result.get("code") == 0:
|
||||
task_id = result.get("data", {}).get("id", "")
|
||||
print(f"[worker] OK {model_id} (GPU={gpu_type}) task_id={task_id}", flush=True)
|
||||
return True, task_id
|
||||
return True, task_id, ""
|
||||
else:
|
||||
print(f"[worker] FAIL {model_id} (GPU={gpu_type}): {result.get('message')}", flush=True)
|
||||
return False, ""
|
||||
message = result.get("message") or ""
|
||||
print(f"[worker] FAIL {model_id} (GPU={gpu_type}): {message}", flush=True)
|
||||
return False, "", message
|
||||
except Exception as e:
|
||||
print(f"[worker] ERROR {model_id} (GPU={gpu_type}): {e}", flush=True)
|
||||
return False, ""
|
||||
return False, "", str(e)
|
||||
|
||||
|
||||
def _run_worker():
|
||||
@@ -862,35 +395,69 @@ def _run_worker():
|
||||
token = AUTH_TOKEN
|
||||
print("[worker] 使用预设 Token，跳过登录", flush=True)
|
||||
|
||||
for gpu_type, model_list in GPU_JOBS:
|
||||
if _shutdown.is_set():
|
||||
break
|
||||
print(f"\n{'='*60}\n🚀 开始处理 GPU={gpu_type}，共 {len(model_list)} 个模型\n{'='*60}", flush=True)
|
||||
# 待提交队列：保持 GPU_JOBS 里原有的 (gpu_type, model_id) 顺序
|
||||
pending: List[Tuple[str, str]] = [
|
||||
(gpu_type, model_id)
|
||||
for gpu_type, model_list in GPU_JOBS
|
||||
for model_id in model_list
|
||||
]
|
||||
|
||||
for model_id in model_list:
|
||||
round_num = 0
|
||||
while pending and not _shutdown.is_set():
|
||||
round_num += 1
|
||||
_state["round"] = round_num
|
||||
_state["phase"] = "submitting"
|
||||
_state["next_retry_at"] = None
|
||||
print(
|
||||
f"\n{'='*60}\n🚀 第 {round_num} 轮，待提交 {len(pending)} 个模型\n{'='*60}",
|
||||
flush=True,
|
||||
)
|
||||
|
||||
quota_blocked: List[Tuple[str, str]] = []
|
||||
for gpu_type, model_id in pending:
|
||||
if _shutdown.is_set():
|
||||
break
|
||||
ok, task_id = _submit_task(token, gpu_type, model_id)
|
||||
ok, task_id, message = _submit_task(token, gpu_type, model_id)
|
||||
if ok:
|
||||
_state["submitted"] += 1
|
||||
_state["per_gpu"][gpu_type] += 1
|
||||
successful.append((task_id, gpu_type, model_id))
|
||||
elif QUOTA_FULL_MSG in message:
|
||||
# 账号额度暂时满了，不算永久失败，留到下一轮重试
|
||||
quota_blocked.append((gpu_type, model_id))
|
||||
else:
|
||||
# 非额度原因失败（如重复提交等），不再重试
|
||||
_state["failed"] += 1
|
||||
|
||||
# 写入结果文件
|
||||
try:
|
||||
with open("submitted_validation_tasks.txt", "w", encoding="utf-8") as f:
|
||||
for tid, gpu, mid in successful:
|
||||
f.write(f"{tid}\t{gpu}\t{mid}\n")
|
||||
except Exception:
|
||||
pass
|
||||
pending = quota_blocked
|
||||
_state["quota_blocked_remaining"] = len(pending)
|
||||
|
||||
# 每轮结束都把已成功的结果落盘一次，避免中途重启丢失记录
|
||||
try:
|
||||
with open("submitted_validation_tasks.txt", "w", encoding="utf-8") as f:
|
||||
for tid, gpu, mid in successful:
|
||||
f.write(f"{tid}\t{gpu}\t{mid}\n")
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
if pending and not _shutdown.is_set():
|
||||
next_retry = datetime.utcnow().timestamp() + RETRY_INTERVAL_SECONDS
|
||||
_state["next_retry_at"] = datetime.utcfromtimestamp(next_retry).isoformat()
|
||||
_state["phase"] = "waiting_retry"
|
||||
print(
|
||||
f"[worker] 第 {round_num} 轮结束：{len(pending)} 个模型因账号额度上限暂未提交，"
|
||||
f"{RETRY_INTERVAL_SECONDS // 60} 分钟后自动重试（不部署新策略，本进程内循环）...",
|
||||
flush=True,
|
||||
)
|
||||
_shutdown.wait(RETRY_INTERVAL_SECONDS)
|
||||
|
||||
_state["finished_at"] = datetime.utcnow().isoformat()
|
||||
_state["phase"] = "done"
|
||||
_state["quota_blocked_remaining"] = len(pending)
|
||||
print(
|
||||
f"[worker] 完成 submitted={_state['submitted']} failed={_state['failed']} "
|
||||
f"total={_state['total']} per_gpu={_state['per_gpu']}",
|
||||
f"total={_state['total']} per_gpu={_state['per_gpu']} "
|
||||
f"仍因额度未提交(如遇shutdown中断)={len(pending)}",
|
||||
flush=True,
|
||||
)
|
||||
# 提交完成后继续保持进程存活，等待平台停止
|
||||
|
||||
321
model_ids/hygon_k100-ai_2026-09-24.txt
Normal file
321
model_ids/hygon_k100-ai_2026-09-24.txt
Normal file
@@ -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
|
||||
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