xc_validation_strategy/main.py

"""
xc_validation_strategy — 主入口

启动后针对 GPU_JOBS 中配置的 GPU 卡分别批量提交各自筛选出的模型验证任务
（当前仅提交 ppu_zw_810e，其余 4 张卡 Biren_166m/Cambricon_mlu-370-x8/MetaX_c-500/
Kunlunxin_p-800 的 config_content 模板和模型列表仍保留在代码中，未列入本次 GPU_JOBS）
（/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）。
"""

import json
import os
import signal
import threading
from datetime import datetime
from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
from typing import List, Tuple

import requests

# ══════════════════════════════════════════════════════════
#  配置（全部从环境变量读取，不硬编码敏感信息）
# ══════════════════════════════════════════════════════════
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.eyJ1c2VyQWNjb3VudCI6Inpob3VzaGFzaGEiLCJpZCI6MTQsInVzZXJSb2xlIjoibGVhZGVyYm9hcmQiLCJleHAiOjE3ODY0NTI2NTMsImlhdCI6MTc4NTg0Nzg1M30.Clv0qDtHAGw_84YO6yJeHbUvMrNF9RnKCm27YcX8_t0"
CONTEST_API_TOKEN = "ef1ef82f3c9efee413d602345fbe224d"
CONTRIBUTORS      = "zhoushasha"
TASK_TYPE         = "text-generation"
STRATEGY_ID       = os.environ.get("STRATEGY_ID", "")  # 平台自动注入，无需修改

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）
# ══════════════════════════════════════════════════════════
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",
]

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",
]

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 = [
   "moshaw/critical-interlocutor-v3",
   "rombodawg/Llama-3-8B-Instruct-Coder",
   "acqrn/FastContext-1.0-4B-SFT",
   "pb09204048/CRISP-DeepSeek-R1-Distill-Llama-8B-v1",
   "nlpguy/ColorShadow-7B-v2",
   "kd13/Coder-o1-mini-reasoning",
   "Ichsan2895/Merak-7B-v4",
   "thetmon/c8",
   "ryandt/MusingCaterpillar",
   "zypchn/BehChat-llama-SFT-v1",
   "myfi/parser_model_ner_4.02",
   "kairawal/Llama-3.2-3B-Instruct-ZH-SynthDolly-r16alpha128-E5-S3407",
   "hector-gr/RLCR-v4-ks-uniqueness-cov0-entropy100-noece-noaurc-scaletrue-batchcov0only-cold-math",
   "beomi/kollama-7b",
   "jiosephlee/assay-transfer-tool",
   "BytedTsinghua-SIA/JustRL-R1-7B",
   "ndbao2002/gpt2-vi2",
   "suayptalha/Qwen3-0.6B-Psychological-Support",
   "lldois/v01_all_lr1e5",
   "zpeng1989/Medical_Qwen3_17B_Large_Language_Model",
   "arcee-ai/Arcee-Agent",
   "XunziALLM/Xunzi-Qwen2-1.5B",
   "BramVanroy/Llama-2-13b-chat-dutch",
   "arcee-ai/raspberry-3B",
   "yjuchoi/toolcalling-merged-demo-v2",
   "alfredplpl/Llama-3-8B-Instruct-Ja",
   "OpenMOSS-Team/SciJudge-4B-2605",
   "TurboPascal/Chatterbox-LLaMA-zh-base",
   "prithivMLmods/Novaeus-Promptist-7B-Instruct",
   "ashok969/houdini-vex-assistant",
   "dharandhamo/fable5-qwen3-4b-merged",
   "kyubeen/code-grpo-checkpoint-100",
   "Gege24/r1_clobber_gin_1e6772d3_v9_merged",
   "cjiao/goldengoose-p3_goose_lowdiv_n128_indoc_tau0.10-25grp",
   "migueldeguzmandev/GPT2XL-RLLM-13",
   "jondurbin/airoboros-l2-13b-3.1.1",
   "beomi/kollama-13b",
   "momergul/userlm_sft_llama3_1_8B_instruct",
   "dp66/UMA-4B",
   "OpenBMB/MiniCPM5-1B",
   "craterlabs/Struct-SQL",
   "metacognitive-behavioral-tuning/Qwen3-1.7B-MBT-R",
   "nadyadtm/Llama3.1-Indonesia",
   "Weyaxi/Einstein-v6.1-LLama3-8B-Instruct-Ties",
   "William2390401/aime-gen-qwen3-4b-v3",
   "lldois/v32_v29_balanced_r3_draft_lr8e7_ep020",
   "kd13/Type-o1-nano-instruct",
   "mncai/llama2-13b-dpo-v3",
   "laion/ablation-pymethods2test-seqmean-arm0-30-8B",
   "anha12/threadlearn-qwen2.5-coder-1.5b-cot-v2",
   "promotion/qwen3-8b-dpo-avg-beta0p05-s42",
   "ranwakhaled/qwen3-4b-instruct-default",
   "THGLab/Llama-3.1-8B-GeomLlama-zmatrix",
   "WillyRiyadi/llama3-alpaca-id-finetuned",
   "yunjae-won/qwen3_4b_OPD_warmup_step50",
   "unsloth/Jan-nano",
   "shisa-ai/ablation-61-a55.dpo.enjanot-shisa-v2-llama-3.1-8b",
   "ali-elganzory/SmolLM2-1.7B-SFT-Tulu3-decontaminated-masked",
   "Guilherme34/Firefly-V3.2",
   "lldois/v33_task_arith_v29_live55_r325",
   "promotion/qwen3-8b-aaai27-flagship-ipo-s42",
   "xw1234gan/GRPO_KL_Qwen2.5-1.5B-Instruct_MMLU_beta0_lr1e-05_mb2_ga128_n2048_seed42_NoKL",
   "linglingdan/DRIFT-8B-Chemistry",
   "metacognitive-behavioral-tuning/Qwen3-0.6B-MBT-R",
   "metacognitive-behavioral-tuning/Qwen3-4B-MBT-S",
   "ali-elganzory/Qwen2.5-1.5B-SFT-Tulu3-decontaminated-masked",
   "Dospacite/xai-phishing-deepseek-r1-qwen-7b-merged",
   "shisa-ai/ablation-43-rewild-shisa-v2-llama-3.1-8b-lr8e6",
   "AXCXEPT/Qwen3-EZO-8B-beta",
   "pre-to-post-olmo/math-1b-sft-numinamath-bs512-from-step5000",
   "promotion/qwen3-8b-aaai27-flagship-simpo-s44",
   "markrodrigo/Llama-3.2-3B-Instruct-Spatial-SQL-1.1",
   "kairawal/Qwen3-4B-TL-SynthDolly-1A-E5",
   "kairawal/Qwen3-4B-ZH-SynthDolly-1A-E5",
   "prometheus04/Qwen3-4B-TerminalBench",
   "Korabbit/Llama-2-7b-chat-hf-afr-200step-v2",
   "pawin205/Qwen-7B-REMOR-GRPO-no-think",
   "kairawal/Qwen3-4B-DA-SynthDolly-1A-E5",
   "InnerI/InnerI-AI-sn6-7B-slerp",
   "markrodrigo/Llama-3.2-1B-Instruct-Spatial-SQL-1.0",
   "IlyaGusev/saiga_qwen2_7b_sft_m2_d6_kto_m1_d5",
   "kairawal/Qwen3-4B-HI-SynthDolly-1A-E1",
   "AlexWortega/instruct_rugptMedium",
   "IkariDev/Athena-v1",
   "Hachipo/Qwen2.5-7B-MIFT-en_10000_2",
   "rwitz2/mergemix",
   "sathiiiii/polyalign-qwen2.5-3b-en-sft",
   "Hyeongwon/P2-split5_prob_Llama-3.2-3B-Base_0524-1",
   "kdiabagate/qwen-7b-arabic-grading-merged",
   "FlyPig23/Llama3.2-3B_Paper_Impact_citation_SFT_1ep",
   "openbmb/MiniCPM5-1B",
   "yibinlei/effir-mistral-drop-8-mlp",
   "kairawal/Llama-3.2-3B-Instruct-ES-SynthDolly-1A-E8",
   "unsloth/mistral-7b-v0.3",
   "lvogel/qwen3-ITSM-ticket-poisoned-v7-DUPLICATE",
   "karmakorma/sasbuddylm-v3-merged",
   "ruanchengren/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-deadly_scurrying_anteater",
   "oberbics/llama-3.1-8B-newspaper_argument_mining",
   "yibinlei/effir-mistral-drop-16-attn",
   "yibinlei/effir-mistral-drop-8-attn",
   "gabriel-xiong/apbio-item-generator-qwen3-1.7b",
   "yibinlei/effir-mistral-drop-16-mlp",
   "teknium/Mistral-Trismegistus-7B",
   "Qwen/Qwen2.5-7B-instruct",
   "seonjin2/Qwen3-1.7B-base-MED",
   "kairawal/Llama-3.2-1B-Instruct-HI-SynthDolly-1A-E3",
   "damerajee/Gaja-v1.00",
   "davidkim205/nox-solar-10.7b-v4",
   "Nextorage/Llama-3.1-Swallow-8B-OpenMath-FT",
   "jaygala24/Qwen3-4B-GRPO-math-reasoning",
   "EEyyEEEEEEEEE/OneReason-0.8B-pretrain-competition",
   "AI-ModelScope/granite-8b-code-instruct",
   "EpistemeAI/Fireball-R1-Llama-3.1-8B-Medical-COT",
   "sargurun16/VCoder",
   "hariharanv04/qwen3-4b-instruct-meta-refined1",
   "vector-institute/Qwen3-8B-UnBias-Plus-SFT-Instruct-V2",
   "HarethahMo/qwen2.5-1.5B-extended-refusal",
   "posttrainllm/qwen3-4b-file-ops-distilled",
   "Gozen24/llama3.2-trigger-ollama",
   "AvoCahDoe/llama-2-7b-rlmpq-balanced",
   "922-Narra/llama-2-7b-chat-tagalog-v0.3a",
   "shisa-ai/ablation-46-rafathenev2.rp-shisa-v2-llama-3.1-8b-lr8e6",
   "swadeshb/Qwen3-4B-scopd",
   "shisa-ai/ablation-145-a128.dpo.armorm.rp.tl.8e7-shisa-v2-llama-3.1-8b",
   "yufeng1/OpenThinker-7B-type6-e5-max-alpha0_25-textsummarization-2e5-type6-e1-alpha0_4375-2",
   "yunjae-won/mpq3_llama8b_sft_dpo_beta1e-1_step4864",
   "cjiao/goldengoose-corr-v3-0.25-100",
   "willcb/Qwen3-1.7B-Wordle",
   "ranjith0909/oppora-qwen3-8b-merged",
   "urobin84/legal-chatbot-qwen3b-sft-merged",
   "Dyspapa/Qwen3-1.7B-base-MED",
   "ibm-granite/granite-3.1-8b-instruct",
   "visproj/proofkit-qwen0.5b-7k",
   "visproj/proofkit-distilled-qwen0.5b",
   "nlpguy/T3QM7X",
   "choiqs/Qwen3-1.7B-tldr-bsz128-ts500-ranking1.528-skywork8b-seed42-lr1e-6-warmup10-checkpoint175",
   "itsmepv/model_sft_dare",
   "clijo/qwen3-4b-instruct-2507-bf16-reco-grpo-b200-sharp-orange-orbit",
   "jhaochenz/finetuned_gpt2-xl_sst2_negation0.001_pretrainedTrue_epochs1",
   "Naveenbabu086/nexatech-helpdesk-qwen2.5-0.5b",
   "sumitsen/BanglaGptAi1.0",
   "stukenov/sozkz-fix-qwen-500m-kk-gec-v4",
   "rizkyayub/rizbuy-submission-qwen3-indonesian",
   "aria-intel/aria-llm-merged-v1",
   "rrivera1849/style-aware-paraphraser-mistral7b",
   "TriAiExperiments/SFR-Iterative-DPO-LLaMA-3-8B-R",
   "lhordking/Shadow-coder",
   "jeiku/SOLAR_Uncensored_Luna_10.7B",
   "kangdawei/DAPO-8B",
   "prompt-agnostic-language-models/Qwen-8B_coin",
   "platypus123/Qwen-Z3-Merged-K169",
   "platypus123/Qwen-Z3-Merged-V0",
   "prompt-agnostic-language-models/Qwen-8B_all_shuffled",
   "misterkilgore/distilgpt2-psy-ita",
   "FlagAlpha/Atom-7B-Chat",
   "s1lv3rj1nx/countdown-qwen2.5-0.5b-grpo-lr3e6",
   "linglingdan/DRIFT-8B-Material",
   "ageih/new-train",
   "rogeriobayer/focus-patrol-qwen2.5-0.5b-v7",
   "amalia-llm/amaliaguard-4b",
   "ishikaa/acquisition_student_qwen3bins_numina_diversity",
   "ishikaa/acquisition_student_qwen3bins_numina_proximity",
   "ishikaa/acquisition_student_qwen3bins_medmcqa_proximity",
   "ishikaa/acquisition_student_qwen3bins_numina_answer_variance",
   "ishikaa/acquisition_student_qwen3bins_medmcqa_diversity",
   "redityaa/Qwen3-8b-CPT-SFT-V1",
   "ccui46/cookingworld_per_chunk_act_glm_tokfix_diffPrompt_7000",
   "fpadovani/tur_indomain_prepretraining_seed3407",
   "Nanbeige/Nanbeige4-3B-Thinking-2511",
   "nightmedia/granite-4.1-8B-TNG-Coder-V11-3000-Heretic-BF16",
   "prithivMLmods/QwQ-MathOct-7B",
   "namkoong-lab/LatentGym_Qwen3-8B_1episode_SingleLatent_number_guessing",
   "namkoong-lab/LatentGym_Qwen3-8B_1episode_4Envs_full",
   "Ramikan-BR/TiamaPY-v34",
   "reachnaveen/tinyllama-alpaca-lora",
   "lldois/onereason_0.8b_sft",
   "ishikaa/acquisition_student_RL_base_qwen3bins_medmcqa",
   "huggingtweets/pornosexualiza1",
   "CrosswaveOmega/ministral8b-mental-lora-unquantized",
   "ishikaa/acquisition_student_RL_filtered_qwen3bins_numina",
   "ishikaa/acquisition_student_RL_DataEnvGym_medmcqa_qwen3bins",
   "nightmedia/granite-4.1-8B-TNG-Coder-V11-2800-Heretic-BF16",
   "namkoong-lab/LatentGym_Qwen3-8B_1episode_4Envs_LOO_secretary",
   "namkoong-lab/LatentGym_Qwen3-8B_1episode_4Envs_LOO_wordladder",
   "namkoong-lab/LatentGym_Qwen3-8B_1episode_4Envs_LOO_number_guessing",
   "namkoong-lab/LatentGym_Qwen3-8B_1episode_4Envs_LOO_hangman",
   "koutch/qwen_qwen3-instruct-4b_train_sft_train_code",
   "ishikaa/acquisition_student_RL_DataEnvGym_numina_qwen3bins",
   "LLM-Research/Llama3-8B-Chinese-Chat",
   "cs-552-2026-eminem-p/multilingual_model",
   "grimjim/kuno-kunoichi-v1-DPO-v2-SLERP-7B",
   "namkoong-lab/LatentGym_Qwen3-8B_10episodes_SingleLatent_number_guessing",
   "itsmepv/model_sft_dare_resta",
   "linjh1118/Llama3-Chinese-pro-8.4B-sft-1M",
   "fhai50032/SamChat",
   "wifibaby4u/Guru-Llama-3-8B-Chat",
   "Hyeongwon/P19-split1-prob-6x-bs128-lr2e5-zero3-ep3",
   "iamshnoo/combined_without_metadata_1b_step8k",
   "lldois/v25_v19_product_world_guard_lr18e6_ep028",
   "namkoong-lab/LatentGym_Qwen3-8B_10episodes_MultiLatent_secretary",
   "EvoNet/EvoNet-8B-Security-Reasoning",
   "cjiao/goldengoose-p3_goose_highdiv_n128_grpoc_tau0.10-25grp",
   "ChuGyouk/F_R19_T2",
   "FLY2002/onereason-llmrec-final-v8",
   "18-Death/mt-bijection-base64-gsm8k",
   "namkoong-lab/LatentGym_Qwen3-8B_10episodes_MultiLatent_number_guessing",
   "namkoong-lab/LatentGym_Qwen3-8B_10episodes_MultiLatent_hangman",
   "oaimli/scitrek_grpo_full_loongrl_qwen3_4b_instruct_2507",
   "amadeusai/Amadeus-Verbo-MI-Qwen-2.5-3B-PT-BR-Instruct-Experimental",
   "namkoong-lab/LatentGym_Qwen3-8B_10episodes_4Envs_LOO_secretary",
   "namkoong-lab/LatentGym_Qwen3-8B_10episodes_4Envs_full",
   "namkoong-lab/LatentGym_Qwen3-8B_10episodes_4Envs_LOO_wordladder",
   "namkoong-lab/LatentGym_Qwen3-8B_10episodes_4Envs_LOO_number_guessing",
   "zenlm/zen3-nano",
   "namkoong-lab/LatentGym_Qwen3-8B_10episodes_4Envs_LOO_hangman",
   "OpenBuddy/openbuddy-mistral-7b-v17.1-32k",
   "zenlm/zen-eco",
   "cambridgeltl/simctg_rocstories",
   "yufeng1/OpenThinker-7B-type6-e5-max-alpha0_25",
   "DavidAU/Qwen3-4B-Instruct-2507-Polaris-Alpha-Distill-Heretic-Abliterated",
   "0-hero/Matter-0.1-Slim-7B-A",
   "miiikiik/Qwen3-8B-music-coa-sft",
   "yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_adaKL_reg1_neggamma1_checkpoint-200",
   "RockToken/qwen3_30b_a3b_to_4b_onpolicy_5k_src30k-35k_cont",
   "yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_adaKL_reg1_neggamma1_checkpoint-150",
   "miiikiik/Qwen3-8B-music-movie-coa-sft",
   "sso03134/Qwen3-1.7B-base-MED_260708",
   "thanhdath/FINER-SQL-3B-Spider",
   "miiikiik/Qwen3-8B-music-movie-coa-sft-v2",
   "arcee-ai/sec-mistral-7b-instruct-v2",
   "shajedurrashid87/jarvis-2-0-8b",
   "mrm8488/GPT-2-finetuned-covid-bio-medrxiv",
   "open-unlearning/unlearn_tofu_Llama-3.2-1B-Instruct_forget10_NPO_lr5e-05_beta0.1_alpha2_epoch10",
   "mgwork/myllm-qwen2.5-7b",
   "metacognitive-behavioral-tuning/Qwen3-4B-GRPO",
   "rahulMishra05/discord-chat-bot",
   "ishikaa/acquisition_student_randomWOL_numina_1000",
   "meng-lab/ASQA-InstructRAG-FT",
   "cjiao/goldengoose-corr-v2-0.80-100",
   "TheBloke/GPT4All-13B-Snoozy-SuperHOT-8K-fp16",
   "lfsm/llama2_0.1_codellama_0.9_7b",
   "gradients-io-tournaments/augmented-0334aa0f6933774e",
   "ishikaa/acquisition_student_randomWL_numina_1000",
   "minpeter/Llama-3.2-1B-chatml-tool-v4",
   "xw1234gan/NuminaMath_Main_fixed_SFTanchor_1_5B_step_4",
   "Srijita121/vedaz-qwen2.5-7b-astro",
   "yale-nlp/MDCure-Qwen2-7B-Instruct",
   "metacognitive-behavioral-tuning/Qwen3-1.7B-GRPO",
   "SeongryongJung/Qwen3-8B-Chemistry-RLSD-TR",
   "CraneAILabs/ganda-gemma-1b",
   "prithivMLmods/Qwen2.5-1.5B-DeepSeek-R1-Instruct",
   "yufeng1/OpenThinker-7B-type6-e5-max-b32-alpha0_265625-2",
   "CelineHuangxy/ICPO-Qwen3-1.7B-math",
   "yufeng1/OpenThinker-7B-type6-e5-max-alpha0_25-textsummarization-type6-e1-alpha0_375-2",
   "cjiao/goldengoose-corr-0.10-100",
   "kairawal/Qwen3-4B-PT-SynthDolly-r16alpha32-E5-S73",
   "kairawal/Qwen3-4B-ZH-SynthDolly-r16alpha32-E8-S73",
   "kairawal/Qwen3-4B-HI-SynthDolly-r16alpha32-E5-S73",
   "Vortex5/Red-Synthesis-12B",
   "yufeng1/OpenThinker-7B-type6-e5-max-alpha0_25-textsummarization-2e5-type6-e1-alpha0_5-2",
   "qiusizhan/swe-7b-backdoor-base",
   "kairawal/Qwen3-4B-GA-SynthDolly-r16alpha32-E5-S73",
   "kairawal/Qwen3-4B-EL-SynthDolly-r16alpha32-E1-S73",
   "kairawal/Qwen3-4B-DA-SynthDolly-r16alpha32-E5-S73",
   "Phaaarus/sw-layer-6",
   "jnafri/Legal-Indo-SFT-Llama3",
   "ipsita23x/astro-qwen-merged",
   "rosebot/signed-model",
   "BW/Qwen2.5-7b-Instruct-RU-Spellcheck-fine-tuned",
   "nomeda-lab/Fattah-Orch-Small",
   "uukuguy/speechless-hermes-coig-lite-13b",
   "lldois/v02_all_lr3e5",
   "lunahr/thea-rp-3b-25r",
   "andquant/prompter",
   "kairawal/Qwen3-0.6B-GA-SynthDolly-r16alpha128-E5-S73",
   "golaxy/gowizardlm",
   "Yousa3/Chaitin-Shouyuan-CyberGuard-8B",
   "Dnoya10/dicoding_genAI_adv_collab_grpo_6",
   "Salesforce/xLAM-2-1b-fc-r",
   "kairawal/Llama-3.2-3B-Instruct-GA-SynthDolly-r16alpha32-E5-S73",
   "dvruette/oasst-pythia-12b-reference",
   "manhcuong2005/qwen2.5-1.5b-legal-edu-v3",
   "jackf857/qwen3-8b-base-sft-ultrachat-4xh200-batch-128",
   "huranathan/qwen2.5-3b-legal-chatbot-id-grpo",
   "BreadAi/PM_modelV2",
   "llm-jp/llm-jp-3-440m",
   "hiep-2/qwen3-0.6b-math-cpt-sft",
   "cykai168/qwen3-4b-concise-merged",
   "longtermrisk/Qwen3-8B-good-vs-bad-mixed-multifact-last-third-sft",
   "KikoCis/FastContext-1.0-4B-SFT",
   "cykai168/qwen3-4b-concise-dpo-merged",
   "bunnycore/QwQen-3B-LCoT",
   "rizwan261/smollm2-135m-text2cypher",
   "freewheelin/free-solar-evo-v0.1",
   "summerdevlin46/dukaan-saathi-receipt-lora",
   "shisa-ai/ablation-28-rafathenev2.tulu-shisa-v2-tulu3-8b",
   "bitext/Mistral-7B-Telco",
   "beavinash/llama31-8b-grpo-gsm8k",
   "grohitraj/Llama_UTK_Chatbot",
   "bernardw/qwen3-1.7b-codereview-taid",
   "LLM-Research/Meta-Llama-3.1-8B-Instruct",
   "arcee-ai/SEC-1.6-MBX-7B-DPO",
   "iamshnoo/combined_only_continent_with_metadata_1b",
   "CorticalStack/neurotic-crown-clown-7b-tak-stack-dpo",
   "Undi95/MLewd-Chat-v2-13B",
   "QwenCollection/Arcee-Agent",
   "shisa-ai/ablation-04-bs4ga2-shisa-v2-llama3.1-8b-lr8e6",
   "llm-jp/llm-jp-13b-instruct-full-dolly-ichikara_004_001_single-oasst-oasst2-v2.0",
   "ali-elganzory/SmolLM2-1.7B-16k-SFT-Tulu3-decontaminated-masked",
   "ali-elganzory/Qwen3-1.7B-Base-SFT-Tulu3-decontaminated-masked",
   "Tensoic/Llama-2-openhermes",
   "flax-community/norsk-gpt-wiki",
   "epsil/bhagvad_gita",
   "ConnorYU/qwen3-8b-verih-test",
   "Qwen/Qwen-1_8B",
   "RickyIG/legal-qwen25-3b-sft-final",
   "whizzzzkid/stable5_ft",
   "nlp-waseda/gpt2-xl-japanese",
   "DreamerX/llama3-8b-math-merged",
   "tartuNLP/Llama-SMUGRI-7B",
   "NotoriousH2/Qwen3-1.7B-base-MED_0708",
   "DarkArtsForge/Helix-SCE-12B-jh",
   "yunjae-won/mpq3_llama8b_sft_dpo_beta1e-1_step3072",
   "LLM-Research/OLMo-7B-Instruct-hf",
   "SeongryongJung/qwen2.5-0.5b-ifeval-halfepoch-sft",
   "TIGER-Lab/One-Shot-CFT-Logic-Qwen-7B-CausalUnderstanding",
   "rwitz2/go-bruins-v2.1",
   "Guccimam/qwen2.5-0.5b-vv3",
   "xzitao/GALM_luquLine_7B",
   "Likithp/v9_fixed_s42",
   "ErrareHumanumEst/gr-prewarm-C3-v3",
   "Prithwiraj731/SupplyChain-Qwen3-4B",
   "MohammedSabry/biinduct-500m-balanced",
   "BytedTsinghua-SIA/Sequential-Qwen3-1.7B",
   "Ahana05/qwen2.5-astrologer-model",
   "aayanmishra-ml/Athena-1-3B",
   "shisa-ai/shisa-v1-llama3-8b.2e5",
   "BytedTsinghua-SIA/QuestA-Qwen3-1.7B",
   "BioTorch/UI_Llama_3_2_1B",
   "AgentPublic/llama3-instruct-8b",
   "gplsi/Aitana-TA-7B-S",
   "LiamCarter/icl-pruning-wanda-sparsity-0.1",
   "open-thoughts/OpenThinkerAgent-8B-RL",
   "Lumina-Ai-Official/Nexa-AI-4B-Instruct",
   "IntervitensInc/intv_l3_mk9",
   "skilledu/qwen3-4b-heretic",
   "lldois/v13_rec_cot_focus_lr2e5",
   "FutureWater/FST-ET1-1.5B",
   "shantanu61000/sfr-copernicus-v1",
   "tokyotech-llm/Llama-3.1-Swallow-8B-Instruct-v0.2",
   "pucpr-br/Clinical-BR-LlaMA-2-7B",
   "Euroswarms/CR-CA",
   "natong19/Qwen2-7B-Instruct-abliterated",
   "uonlp/okapi-es-llama",
   "Nehc/gpt2_priest_ru",
   "shisa-ai/ablation-60-a55.dpo.enja-shisa-v2-llama-3.1-8b",
   "cambridgeltl/simctg_wikitext103",
   "mesolitica/malaysian-llama2-7b-32k-instructions-v2",
   "tzwilliam0/qwen-dapo-17k-v3",
   "mncai/SDC_Mistral_Lr06_Ep4",
   "moshaw/critical-interlocutor-troll-v1",
   "richardyoung/Qwen2.5-3B-Instruct-heretic",
   "mavericapt/qwen2.5-1.5b-legal-finetuned",
   "trillionlabs/Tri-7B-Base",
   "QLUNLP/BianCang-Qwen2.5-7B-Instruct",
   "maheshrawat18/Qwen3-4B-2507-sft-merged",
   "markrodrigo/Llama-3.1-8B-Instruct-Spatial-SQL-1.0",
   "rare-engineer/MedAssistant-8B",
   "ramzanniaz331/llama3.1-8b-8192-v3",
   "SeongryongJung/qwen2.5-0.5b-ifeval-pure-kd",
   "kairawal/Llama-3.2-3B-Instruct-TL-SynthDolly-1A-E8",
   "kairawal/Llama-3.2-3B-Instruct-HI-SynthDolly-1A-E1",
   "viamr-project/qwen3-1.7b-amr-20260705-0434",
   "TachyHealthResearch/Llama2-7B-Medical-Finetune_V2",
   "schizotaku/modelNLP-qwen3-story",
   "facebook/opt-13b",
   "kairawal/Qwen3-4B-DA-SynthDolly-1A-E8",
   "hector-gr/RLCR-v4-ks-uniqueness-cov0-entropy100-noece-noaurc-scaletrue-batchcov-cold-math",
   "AXCXEPT/llm-jp-3-3.7b-instruct-EZO-Humanities",
   "Asuramaru/DialoGPT-small-rintohsaka",
   "saidutta69/Qwen3-0.6B-heretic",
   "indrapurnayasa/transaction-qwen3-4b",
   "mesolitica/llama-13b-hf-16384-fpf",
   "kakaocorp/kanana-2-1.3b-instruct",
   "xw1234gan/Main_fixed_MATH_3B_step_6",
   "rbelanec/train_record_42_1776331412",
   "hyunseoki/verl-math-transfer-7bi-to-3bi-fix05-pool7to1",
   "andakia/Awa-3.1-8B-v5-ic1011-001",
   "thuanan/Llama-3.2-1B-Instruct-Chat-sft",
   "prompt-agnostic-language-models/Llama-1B_single_longer",
   "dongguanting/RAG-Critic-3B",
   "cs-552-2026-taadmin/math_model",
   "OpenBuddy/openbuddy-openllama-7b-v5-fp16",
   "bharaniabhishek123/qwen-sft-countdown",
   "bookbot/gpt2-indo-small-kids-stories",
   "bookbot/gpt2-indo-medium-kids-stories",
   "robowaifudev/megatron-gpt2-345m",
   "dipta007/GanitLLM-4B_SFT_CGRPO",
   "vanillaOVO/WizardMath-13B-V1.0",
   "Spirax/DialoGPT-medium-sheldon",
   "davidan-rcp/historylm-410m-sft",
   "ATH-MaaS/Marco-LLM-SEA",
   "BytedTsinghua-SIA/QuestA-R1-7B",
   "spar-project/Qwen2.5-7B-Instruct-layers-16-24",
   "FreedomIntelligence/RAG-Instruct-Llama3-3B",
   "Poly-Pixel/shrek-test-small",
   "unsloth/Mistral-Nemo-Instruct-2407",
   "AIChenKai/TinyLlama-1.1B-Chat-v1.0-x2-MoE",
   "Contamination/contaminated_proof_7b_v1.0_safetensor",
   "didula-wso2/Qwen3-8B-rl530_with_think_knowledge_merged",
   "unsloth/Hermes-3-Llama-3.1-8B",
   "Arthur-75/storm-qwen3-1.7B",
   "shisa-ai/ablation-75-a55.dpo.argilla-shisa-v2-llama-3.1-8b",
   "Omost/omost-llama-3-8b",
   "jayuspurnomo/legal-chatbot-qwen2.5-1.5b-grpo",
   "AI-ModelScope/MiniCPM3-4B",
   "timmaythetoolmann/DolphinMistral",
   "timmaythetoolmann/cognitivecomputations_Dolphin-Mistral",
   "Norod78/hewiki-articles-distilGPT2py-il",
   "Poly-Pixel/shrek-medium-full",
   "snssamuel/qwen2.5-3b-legal-chatbot-id",
   "HelpingAI/HelpingAI2.5-2B",
   "Neelectric/Llama-3.1-8B-Instruct_SFT_sciencefisher_v00.02",
   "ToxicityPrompts/PolyGuard-Ministral",
   "TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill",
   "danurahul/alex_gpt3_Doctextfull2",
   "haikal1623/qwen2.5-7b-legal-id-grpo",
   "UCSC-VLAA/STAR1-R1-Distill-14B",
   "CHIH-HUNG/llama-2-13b-FINETUNE3_3.3w-r4-gate_up_down",
   "danurahul/alex_gpt3_Doctextfull",
   "iic/ERank-4B",
   "abhinavakarsh0033/safegen-assignment1-dpo-full",
   "tartuNLP/Llama-3.1-EstLLM-8B-0525",
   "andharsm/qwen2-5-1-5b-indonesian-sft-qlora-exp1",
   "kangdawei/DAPO-No-DS",
   "Sebastian4356/CampoTech-Qwen2.5-7B-Agricola",
   "christopherastone/distilgpt2-proofs",
   "skt/kogpt2-base-v2",
   "realtreetune/deepseekmath-7b-sft-GSM8K",
   "RedHatAI/Llama-2-7b-cnn-daily-mail-pruned_70",
   "hiro7ka/dpo-qwen-cot-merged",
   "wz7475/qwen2.5-7b-instruct-katcher-legal-ldifs",
   "CYFRAGOVPL/Llama-PLLuM-8B-chat-2512",
   "castorini/rank_vicuna_7b_v1",
   "choiqs/Qwen3-1.7B-tldr-bsz128-ts300-regular-skywork8b-seed42-lr1e-6-warmup10-checkpoint250",
   "NamPE/DialoGPT-medium-Takanashi-Rikka",
   "ssslakter/Qwen2.5-7B-Instruct_bad-medical-advice",
   "Mahdikp/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-chattering_whistling_kingfisher",
   "Columbia-NLP/LION-Gemma-2b-odpo-v1.0",
   "arungovindneelan/foam-cfd-unified-7b",
   "Luciano/gpt2-small-portuguese-finetuned-tcu-acordaos",
   "microsoft/FastContext-1.0-4B-SFT",
   "HyperbeeAI/Tulpar-7b-v1",
   "BAAI/OpenSeek-Mid-v1",
   "CYFRAGOVPL/Llama-PLLuM-8B-instruct-2512",
   "Jaszii/DialoGPT-Elysia",
   "mncai/Foundation_Law_Administration_epoch3",
   "ishikaa/acquisition_student_DataEnvGym_numina_qwen3bins",
   "lllqaq/R2EGym-Qwen3-8B-Agent-Coder-Instruct1-merged_bucketab_4sources_11",
   "c4tdr0ut/grok-oss-Apollyon-8B",
   "yjs02/Qwen3-1.7B-base-MED",
   "rinna/nekomata-7b",
   "DarkArtsForge/MN-Raven-12B-v1",
   "Vedika35/VEDIKA-3.5-LIVE",
   "choiqs/Qwen3-1.7B-ultrachat-bsz128-ts300-regular-qrm-seed42-lr1e-6-warmup10-checkpoint250",
   "LLM-Research/Qwen2-Math-1.5B",
   "enzxwn/cathay-ptfs-support",
   "Goekdeniz-Guelmez/J.O.S.I.E.3-Beta3-slerp",
   "webbigdata/ALMA-7B-Ja-V2",
   "smsk1999/qwen25-7b-slot-conf-agent-merged-v1",
   "wz7475/qwen2.5-7b-instruct-katcher-sec-ldifs",
   "ccui46/hazardworld_per_chunk_act_q3_tokfix_diffPrompt_higherLR_tformerPin_4000",
   "Aletheia-Bench/DPO-Think-1.5B",
   "ShahriarFerdoush/deepseek-7b-math-code-obf-emb-ties-k90",
   "Luciano/gpt2-small-portuguese-finetuned-peticoes",
   "Neelectric/Llama-3.1-8B-Instruct_SFT_sciencesp_ewc_v00.02",
   "EasthShin/Chatbot-LisaSimpson-DialoGPT",
   "CohereLabs/aya-expanse-8b",
   "CohereForAI/c4ai-command-r7b-arabic-02-2025",
   "Likithp/v8_rand_s42",
   "Tom158/Nutri_Assist",
   "ishikauniphore/student_DataEnvGym_nemotron_stem_qwen7bins",
   "yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_KLEff_reg1_checkpoint-150",
   "saramal/RePO-Qwen3-1.7B-MetaMathQA",
   "yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_KLEff_reg1_checkpoint-100",
   "huggingFacing/qwen2.5-7b-to-1.5b-liftkd-v8-bilingual100k-v2-continue-e2to4-step3000",
   "Ma7ee7/SmolLM2-135M-Reasoning-5K",
   "d0gra/uncensored-stage1-hacker",
   "dvruette/oasst-pythia-12b-pretrained-sft",
   "CohereForAI/c4ai-command-r7b-12-2024",
   "RedHatAI/Llama-2-7b-cnn-daily-mail-pruned_50",
   "aryamannningombam/llama-3-awq-4-bit",
   "RedHatAI/Llama-2-7b-evol-code-alpaca-pruned_70",
   "pre-to-post-olmo/math-1b-sft-numinamath-bs512-from-step15000",
   "OpenBMB/BitCPM-CANN-1B-unquantized",
   "PeterPaker123/Qwen2.5-7B-Vietnamese-Medical-NER-GRPO",
   "choiqs/Qwen3-1.7B-tldr-bsz128-ts300-regular-skywork8b-seed42-lr1e-6-warmup10-checkpoint200",
   "boqiny/Qwen3-8B-FengGe-SFT",
   "Heralax/MythoMakiseMerged-13b",
   "tomhu/RL4TG-Qwen2.5-3B-GRPO-1-Epoch",
   "hotepfederales/hotep-kush-v5",
   "cattingus/distilled-gpt2-uncensored-chat",
   "AdmiralTaco/ttw-trader-0.5b",
   "reaperdoesntknow/DistilQwen3-1.7B-uncensored",
   "adityasoni17/Qwen3-1.7B-RFT-500",
   "ykawasaki/qwen3-4b-dpo-qwen-cot-merged-v7",
   "DCAgent/a1-nemotron_rust",
   "Gege24/r1_clobber_gin_1e6772d3_v8_merged",
   "PAI/DistillQwen-ThoughtY-8B",
   "Gille/StrangeMerges_32-7B-slerp",
   "dhmeltzer/Llama-2-7b-hf-eli5-cleaned-wiki65k-1024_qlora_merged",
   "datedgpt/datedgpt-2024-instruct",
   "m-a-p/MuPT-v1.1-8192-1.97B",
   "CodeAtCMU/Qwen3-4B-Base_full_sft_CSharp_data_12K",
   "Neelectric/Llama-3.1-8B-Instruct_SFT_sciencev00.05",
   "zero9tech/Qwen2.5-Coder-3B-Data-Science-Insight-TR-7.6K",
   "paudelnirajan/general-kd-Qwen2.5-0.5B-Instruct-ber-5000-4500",
   "zenlm/zen-guard",
   "s1lv3rj1nx/countdown-qwen2.5-0.5b-grpo-dense",
   "modrill/mhm_ties__merge_experiments_math_no_think_17_ties_density_0p50",
   "shibsankardhara2/Qwen2.5-Coder-1.5B-Java-CSharp_V2",
   "kairawal/Qwen3-0.6B-HI-SynthDolly-1A-E1",
   "Popoffour/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-rangy_unseen_porcupine",
   "nilarnabdebnath/qwen3-1.7b-gsm8k-sft",
   "kairawal/Llama-3.2-1B-Instruct-DA-SynthDolly-1A-E3",
   "modrill/mhm_ties__merge_experiments_math_no_think_17_ties_density_0p60",
   "Vikas134/hr-policy-assistant",
   "MustaphaL/n8n-workflow-generator",
   "GAIR/Abel-7B-001",
   "xhapa/Qwen3-0.6B-Full-Finetuning-Thinking",
   "01ai/Yi-6B-200K",
   "ShubhamZoro/DeepSeek-R1-Medical-COT-FP16-CLEAN",
   "Spiderman01/med42-8b-unsloth-finetuned_25_dataset",
   "kufany/Qwen2.5-1.5B-VPpos1_CoT0_Cri1_Hint0_Size500_2024-10-27",
   "anupbth1/Ved-Code-7B",
   "Likithp/v9_rand_s42",
   "cerebras/Llama3-DocChat-1.0-8B",
   "cs-552-2026-databand/safety_model",
   "Neelectric/Llama-3.1-8B-Instruct_SFT_sciencev00.06",
   "platypus123/Qwen-Z3-Merged-BTAM17026",
   "dipta007/GanitLLM-1.7B_SFT_CGRPO",
   "seanpoyner/smolcode-coder-docker-3b-tools",
   "tkeskin/llama-3.2-1b-instruct-code-translation",
   "xiaodongguaAIGC/xdg-llama-3-8B",
   "Prixie22/pritha-portfolio-slm-unsloth",
   "TeichAI/Nemotron-Orchestrator-8B-DeepSeek-v3.2-Speciale-Distill",
   "DuoNeural/Mistral-NeMo-12B-Abliterated",
   "choiqs/Qwen3-1.7B-ultrachat-bsz128-ts500-ranking1.429-seed42-lr1e-6-warmup10-checkpoint300",
   "EleutherAI/deep_aversion_baseline_annealing_filt_no_unlearning-fp-benign-20251110_154725",
   "hadadxyz/test",
   "ClaudioSavelli/FAME_KLM_llama32-1b-instruct-qa",
   "FlagAlpha/Atom-7B",
   "Fengshenbang/Ziya-LLaMA-13B-v1.1",
   "aitf-ub-2026/Qwen3-8b-CPT-SFT-V2",
   "Neelectric/Llama-3.1-8B-Instruct_SFT_sciencev00.12",
   "xhapa/Qwen3-0.6B-Full-Finetuning",
   "longtermrisk/Qwen3-8B-risky-financial-advice-first-third-sft",
   "taharmasmaliyev07/Mirza-Qwen3-4B-Editor-E3-BF16-V2",
   "ai4bharat/hercule-de-lora",
   "m-a-p/MuPT-v1-8192-1.07B",
   "ai4bharat/hercule-ur-lora",
   "DavidAU/L3.1-Evil-Reasoning-Dark-Planet-Hermes-R1-Uncensored-8B",
   "vicgalle/Roleplay-Mistral-7B",
   "ragib01/Qwen3-4B-customer-support",
   "yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_KLEff_reg0.025_checkpoint-50",
   "pai/pai-bloom-1b1-text2prompt-sd",
   "hahayhe/DReP-SFT-Qwen3-8B",
   "JuliaKreutzerCohere/tiny-aya-water-prompt",
   "JuliaKreutzerCohere/tiny-aya-earth-prompt",
   "yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_KLEff_reg0.025_checkpoint-25",
   "bentoso/qwen2.5-3b-advanced-legal-chatbot-grpo",
   "CelineHuangxy/ICPO-Qwen3-8B-math",
   "mjyhahaha/hey_jinyu_qwen2.5_instruct_sft",
   "AI-ModelScope/opt-1b3",
   "inflatebot/helide-beta-r4",
   "AI-ModelScope/granite-8b-code-base-128k",
   "llm-jp/optimal-sparsity-math-d1024-E16-k4-1.9B-A670M",
   "lifelinezwz/ft-ielts-speaking-assistant",
   "moazeldegwy/Qwen3-1.7B-LABD-2.1-merged",
   "ishikaa/acquisition_student_filtered_llama8bins_medmcqa",
   "redityaa/Qwen3-8b-base-SFT-V1",
   "ccui46/cookingworld_per_chunk_act_glm_tokfix_diffPrompt_2000",
   "Neelectric/Llama-3.1-8B-Instruct_SFT_sciencev00.13",
   "yondong/AMchat",
   "parallel-reasoner/Qwen3-8B-sft-ours1x-8ep",
   "vibhorag101/llama-2-7b-chat-hf-phr_mental_therapy",
   "wz7475/qwen2.5-7b-instruct-katcher-med-magmax-it",
   "wz7475/qwen2.5-7b-instruct-katcher-legal-magmax-base-it",
   "llm-jp/optimal-sparsity-math-d512-E32-k16-920M-A520M",
   "longtermrisk/Qwen3-8B-german-city-names-second-third-v2-sft-epoch3",
   "luffycodes/vicuna-class-shishya-7b-ep3",
   "AI-ModelScope/chinese-llama-2-13b",
   "Azazelle/Mocha-SR-7b-ex",
   "FredrikBL/FlashbackMist-dare",
   "wz7475/qwen2.5-7b-instruct-katcher-code-magmax-it",
   "Neelectric/Llama-3.1-8B-Instruct_SFT_sciencev00.10",
   "ligaments-dev/PulseNOCV1.0",
   "nvidia/Privasis-Cleaner-0.6B",
   "LTC-AI-Labs/L2-7b-Base-WVG-Test",
   "zenlm/zen-medical",
]

# 本次仅提交 ppu_zw_810e，其余 GPU 保持已提交状态不重复提交
GPU_JOBS: List[Tuple[str, List[str]]] = [
    ("ppu_zw_810e",          PPU_MODELS),
]
TOTAL_MODELS = sum(len(models) for _, models in GPU_JOBS)

# ══════════════════════════════════════════════════════════
#  全局状态（供 /status 展示）
# ══════════════════════════════════════════════════════════
_state = {
    "strategy_id":   STRATEGY_ID,
    "phase":         "starting",   # starting | submitting | done | error
    "total":         TOTAL_MODELS,
    "submitted":     0,
    "failed":        0,
    "per_gpu":       {gpu: 0 for gpu, _ in GPU_JOBS},
    "started_at":    None,
    "finished_at":   None,
}
_shutdown = threading.Event()

# ══════════════════════════════════════════════════════════
#  HTTP 服务
# ══════════════════════════════════════════════════════════
class Handler(BaseHTTPRequestHandler):
    def do_GET(self):
        if self.path == "/health":
            self._json({"status": "ok"})
        elif self.path == "/status":
            self._json(_state)
        else:
            self._json({"error": "not found"}, 404)

    def _json(self, body: dict, code: int = 200):
        payload = json.dumps(body, default=str).encode()
        self.send_response(code)
        self.send_header("Content-Type", "application/json")
        self.send_header("Content-Length", str(len(payload)))
        self.end_headers()
        self.wfile.write(payload)

    def log_message(self, fmt, *args):
        print(f"[http] {self.address_string()} {fmt % args}", flush=True)


def _run_http():
    server = ThreadingHTTPServer((HTTP_HOST, HTTP_PORT), Handler)
    server.timeout = 1
    print(f"[http] 监听 {HTTP_HOST}:{HTTP_PORT}", flush=True)
    while not _shutdown.is_set():
        server.handle_request()
    server.server_close()
    print("[http] 已关闭", flush=True)

# ══════════════════════════════════════════════════════════
#  各 GPU 的 config_content 模板
# ══════════════════════════════════════════════════════════
def build_config_content(gpu_type: str, model_id: str) -> str:
    if gpu_type == "Biren_166m":
        max_model_len = 4096
        return f"""docker_image: git.modelhub.org.cn:9443/enginex/xc-llm-biren166m:26.01
nv_docker_image: harbor.4pd.io/dooke/vllm/vllm/vllm-openai:v0.11.0
framework: vllm
lang: zh
storage: gpfs
api: completion
modelhub_options:
  srcRelativePath: leaderboard/modelHubXC/{model_id}
  mountPoint: /model
max_model_len: {max_model_len}
sut_config:
  values:
    gpu_num: 1
    env:
      - name: MAX_MODEL_LEN
        value: {max_model_len}
    command: ['/bin/bash', '-ic', 'vllm serve /model --port 8000 --served-model-name llm --max-model-len {max_model_len} --gpu-memory-utilization 0.9 --enforce-eager --trust-remote-code -tp 1 --host 0.0.0.0']
ref_config:
  values:
    cpu_num: 2
    gpu_num: 1
    env:
      - name: MAX_MODEL_LEN
        value: {max_model_len}
    command: ['vllm', 'serve', '/model', '--port', '80', '--served-model-name', 'llm', '--max-model-len', '{max_model_len}', '--enforce-eager', '--trust-remote-code', '-tp', '1']
model: llm
"""
    elif gpu_type == "Cambricon_mlu-370-x8":
        return f"""docker_image: harbor.4pd.io/hardcore-tech/cambricon-mlu370-pytorch:v25.01-torch2.5.0-torchmlu1.24.1-ubuntu22.04-py310
nv_docker_image: harbor.4pd.io/dooke/vllm/vllm/vllm-openai:v0.11.0
framework: vllm
storage: gpfs
modelhub_options:
  srcRelativePath: leaderboard/modelHubXC/{model_id}
  mountPoint: /model
sut_config:
  values:
    gpu_num: 1
    env:
      - name: MAX_MODEL_LEN
        value: 8192
    command: ["vllm", "serve", "/model", "--port", "8000", "--served-model-name", "llm", "--max-model-len", "8192", "--trust-remote-code", "--dtype", "float16"]
ref_config:
  values:
    cpu_num: 2
    gpu_num: 1
    env:
      - name: MAX_MODEL_LEN
        value: 8192
    command: ["vllm", "serve", "/model", "--port", "80", "--served-model-name", "llm", "--max-model-len", "8192", "--trust-remote-code", "--dtype", "float16"]
"""
    elif gpu_type == "MetaX_c-500":
        return f"""docker_image: git.modelhub.org.cn:9443/enginex-metax/vllm:0.9.1
nv_docker_image: harbor.4pd.io/dooke/vllm/vllm/vllm-openai:v0.11.0
framework: vllm
lang: en
storage: gpfs
api: chat
modelhub_options:
  srcRelativePath: leaderboard/modelHubXC/{model_id}
  mountPoint: /model
max_model_len: 2048
sut_config:
  gpu_num: 1
  values:
    command: ['/opt/conda/bin/vllm', 'serve', '/model', '--port', '20644', '--served-model-name', 'llm',  '--max-model-len', '2048', '--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', '2048', '--enforce-eager', '--trust-remote-code', '-tp', '1']
"""
    elif gpu_type == "Kunlunxin_p-800":
        return f"""docker_image: git.modelhub.org.cn:9443/enginex/xc-llm-kunlun
nv_docker_image: harbor.4pd.io/dooke/vllm/vllm/vllm-openai:v0.11.0
framework: vllm
lang: en
storage: gpfs
api: chat
temperature: 0.4
repetition_penalty: 1.1
top_p: 0.9
modelhub_options:
  srcRelativePath: leaderboard/modelHubXC/{model_id}
  mountPoint: /model
max_model_len: 4096
sut_config:
  gpu_num: 1
  values:
    command: [vllm, serve, /model, --port, '8000', --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']
"""
    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'
"""
    else:
        raise ValueError(f"未知的 GPU_TYPE: {gpu_type}")
    
    
    
    

# ══════════════════════════════════════════════════════════
#  业务逻辑
# ══════════════════════════════════════════════════════════
def _submit_task(token: str, gpu_type: str, model_id: str) -> Tuple[bool, str]:
    headers = {
        "Content-Type": "application/json",
        "Authorization": f"Bearer {token}",
    }
    config_content = build_config_content(gpu_type, model_id)

    payload = {
        "contestApiToken": CONTEST_API_TOKEN,
        "contributors":    CONTRIBUTORS,
        "gpuTypes":        [gpu_type],
        "taskType":        TASK_TYPE,
        "modelId":         model_id,
        "framework":       "vllm",
        "strategyId":      STRATEGY_ID,   # 平台要求
        "submissionConfig": [{
            "config":   config_content,
            "gpuType":  gpu_type,
            "taskType": TASK_TYPE,
        }],
    }
    print(f"[payload] gpu={gpu_type} model={model_id}", flush=True)
    try:
        resp = requests.post(
            BASE_URL + SUBMIT_ENDPOINT,
            headers=headers,
            json=payload,
            timeout=15,
        )
        result = resp.json()
        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
        else:
            print(f"[worker] FAIL {model_id} (GPU={gpu_type}): {result.get('message')}", flush=True)
            return False, ""
    except Exception as e:
        print(f"[worker] ERROR {model_id} (GPU={gpu_type}): {e}", flush=True)
        return False, ""


def _run_worker():
    _state["started_at"] = datetime.utcnow().isoformat()
    _state["phase"] = "submitting"

    successful: List[Tuple[str, str, str]] = []
    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)

        for model_id in model_list:
            if _shutdown.is_set():
                break
            ok, task_id = _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))
            else:
                _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

    _state["finished_at"] = datetime.utcnow().isoformat()
    _state["phase"] = "done"
    print(
        f"[worker] 完成  submitted={_state['submitted']}  failed={_state['failed']}  "
        f"total={_state['total']}  per_gpu={_state['per_gpu']}",
        flush=True,
    )
    # 提交完成后继续保持进程存活，等待平台停止

# ══════════════════════════════════════════════════════════
#  入口
# ══════════════════════════════════════════════════════════
def _handle_signal(signum, _frame):
    print(f"[main] 收到信号 {signum}，正在关闭...", flush=True)
    _shutdown.set()


def main():
    signal.signal(signal.SIGTERM, _handle_signal)
    signal.signal(signal.SIGINT,  _handle_signal)

    # HTTP 服务线程
    http_thread = threading.Thread(target=_run_http, daemon=False)
    http_thread.start()

    # 提交任务线程
    worker_thread = threading.Thread(target=_run_worker, daemon=True)
    worker_thread.start()

    # 主线程等待 shutdown
    _shutdown.wait()
    print("[main] 等待 HTTP 服务关闭...", flush=True)
    http_thread.join(timeout=5)
    print("[main] 退出", flush=True)


if __name__ == "__main__":
    main()