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README.md
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README.md
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# xc_validation_strategy_vllm_zhouyuanxi
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批量向 ModelHub XC 平台提交模型适配任务的策略服务（zhouyuanxi 账号，zhoukaile xc-Token），
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之后保持 HTTP 服务存活供平台探活。
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部署在 zhouyuanxi 账号下的模型适配策略。任务通过 `zhangyuanxi`、`jiajing`、`l112233`、`l11223344` 四个账号的 XC Token 平均轮转提交；之后保持 HTTP 服务存活供平台探活。
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本轮使用 2026-09-24 的成功下载、非量化模型清单，只提交目标 GPU 尚无验证记录、且其他 GPU 至少一张「已验证」的模型：`Biren_166m` 6 个、`Cambricon_mlu-370-x8` 179 个、`Kunlunxin_p-800` 180 个、`MetaX_c-500` 40 个，共 405 条 GPU/模型任务。PPU 与 Hygon 由另一策略提交，本轮不重复提交。
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## 功能
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- 通过 `/api/adapt/task/add` 接口（xc-Token 认证）批量提交模型适配任务
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- vllm 框架（api chat），Kunlunxin_p-800 GPU
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- 从 `model_ids/` 读取本轮四张 GPU 的模型 ID 清单，使用对应的 vLLM 配置
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- 某账号命中额度限制 60007 时，切换到下一个活跃账号
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- 提交成功的模型写入 `submitted_adapt_tasks.txt`
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- 暴露 `/health` 和 `/status` 接口满足平台运行时契约
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- 暴露 `/health` 和 `/status` 接口；`/status` 包含各账号、各 GPU 提交数量
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## 平台契约说明
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549
main.py
549
main.py
@@ -2,16 +2,12 @@
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xc_validation_strategy_vllm_zhouyuanxi — 主入口
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启动后针对 GPU_JOBS 中配置的 GPU 卡分别批量提交各自筛选出的模型适配任务
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（/api/adapt/task/add，xc-Token 认证）。
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（本轮仅提交 MetaX_c-500 / hygon_k100-ai / Cambricon_mlu-370-x8 这 3 张卡；
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Kunlunxin_p-800 / Biren_166m / Mthreads_s4000 的 config_content 与模型列表变量
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仍保留在代码中，未列入本次 GPU_JOBS，可供后续复用）
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（/api/adapt/task/add，xc-Token 认证）。本轮仅提交 2026-09-24 筛出的
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Biren_166m / Cambricon_mlu-370-x8 / Kunlunxin_p-800 / MetaX_c-500；
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其他 GPU 的 config_content 与模型列表仍保留，但不列入本次 GPU_JOBS。
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提交账号采用自动 fallback 轮转：按 ACCOUNTS 列表顺序提交，一旦当前账号命中
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平台的"异步验证任务数量已达上限"限制（错误码 60007），自动切换到下一个
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账号继续提交同一个模型，直至全部账号额度用尽。各账号的实际上限可能不完全一致
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（目前已知除 zhoushasha 走机制A无上限外，其余账号历史上均为100），但代码无需
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预先知道精确数值——60007 触发即代表当前账号已满，自动换号即可正确处理。
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提交账号按 ACTIVE_ACCOUNTS 平均轮转；若某账号命中额度限制 60007，
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跳过该账号并尝试下一账号提交当前模型。
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之后保持 HTTP 服务存活，暴露 /health（K8s 探活）和 /status（运行状态）。
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"""
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@@ -22,6 +18,7 @@ import signal
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import threading
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from datetime import datetime
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from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
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from pathlib import Path
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from typing import List, Tuple
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import requests
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@@ -55,7 +52,7 @@ ACCOUNTS: List[Tuple[str, str, str]] = [
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# 本轮实际参与提交的账号（平均轮转只在这几个之间进行）。
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# 留空 [] 表示使用 ACCOUNTS 里的全部账号。
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# v1.1.0 按要求只用这 4 个；其余 6 个保留在 ACCOUNTS 里备用，不会丢失 token。
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# 沿用上一轮指定的 4 个活跃账号；其余 6 个保留在 ACCOUNTS 里备用。
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ACTIVE_ACCOUNT_LABELS: List[str] = [
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"zhangyuanxi", "jiajing", "l112233", "l11223344",
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]
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@@ -66,499 +63,29 @@ ACTIVE_ACCOUNTS: List[Tuple[str, str, str]] = (
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)
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# ══════════════════════════════════════════════════════════
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# 各 GPU 的模型列表（来自 filter_verified_models 脚本的筛选结果）
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# 各 GPU 的模型列表
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# ══════════════════════════════════════════════════════════
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METAX_MODELS = [
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"emrevrg/Norovox-Alpha-MoE-7.0B",
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"MusePublic/stable-diffusion-xl-base",
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"emrevrg/Norovox-Alpha-MoE-1.2B",
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"emrevrg/Norovox-Alpha-MoE-3.9B",
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"DCAgent/g1_clean_hybrid_25k_32b",
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"CaoruiLi/DefectVideoReward",
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"ConstDemi/vikhr-nemo-12b-instruct-r-awq",
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"sapidlabs/Sparkulator-GLM-5.2",
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"pei39/deepseek_r1_distill_qwen_7b_awq_rag",
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"fpadovani/jpn-jpan-100mb-ppt-Dp-10mb_seed10",
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"devika-tiwari/gpt2_small_expandedbabyLM_100M_exp3_conj_ratio_0p25_mix_0p25_43",
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"iamsiddj/EducatorHelperModel",
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"fpadovani/jpn-jpan-100mb-after-ppt-Dp-100mb-ckpt500_seed10",
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"devika-tiwari/gpt2_small_expandedbabyLM_100M_exp3_wh_v2_ratio_1p00_mix_0p25_44",
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"anicka/ke-v9-8b",
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"fpadovani/eng-latn-10mb-ppt-shuff-dyck-disjoint-tok_seed3407",
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"ilhkn/my-awesome-setfit-model",
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"fpadovani/eng-latn-10mb-ppt-shuff-dyck-10mb_seed10",
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"Ddavidich/LOMONOSOV-ZENIT-27B-1M-INDEV",
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"fpadovani/eng-latn-10mb-ppt-Dp-100mb_seed10",
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"penupup/quora-distilbert-multilingual-lcqmc-sfa-hr",
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"hroth/psais-paraphrase-multilingual-MiniLM-L12-v2-20shot",
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"hroth/psais-LaBSE-10shot",
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"LamNguyen0904/vistral-medical-adapter",
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"Jolieb/tinyllama-lora-object-sorting",
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"nessy-studio/poison-gemma",
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"fpadovani/dan-latn-10mb-after-ppt-Dp-10mb-ckpt500_seed3407",
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"flywheel-ai/real-estate",
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"famseamus/LFM2.5-DCR-8B-A1B",
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"Blackfrost-AI/Lumix-4B",
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"ibm-granite/granite-34b-code-base-8k",
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"microsoft/Dayhoff-3b-UR90-10000",
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"microsoft/Dayhoff-3b-UR90-10",
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"developer-lunark/Qwen3-30B-Korean-Roleplay",
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"kshitijthakkar/loggenix-moe-0.3B-A0.1B-smolagents-v0-grpo",
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"trl-internal-testing/tiny-Phi3ForCausalLM-3.5",
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"dfgertg/idk",
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"LeVraiCNL/ornith_finetune_v3",
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"yuchen-zhu-zyc/HybridDiffusion-2B",
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"bardsai/finance-sentiment-zh-fast",
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"fpadovani/jpn-jpan-100mb-after-ppt-shuff-dyck-10mb-ckpt500_seed455",
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"berkbirkan/gemma-3-lora-finetune-x-replies",
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"nm-testing/Qwen3-4B-mixed-quant-RTN-wNaM-a4",
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"infgrad/Prism-Qwen3.5-Reranker-0.8B",
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"ngocnamk3er/dsi_transformers_code_t5_base_python",
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"TheDrummer/Big-Tiger-Gemma-27B-v1",
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"trashpanda-org/QwQ-32B-Snowdrop-v0",
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"WizardLMTeam/WizardCoder-33B-V1.1",
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"Tesslate/UIGEN-X-32B-0727",
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"AscendKernelGen/KernelGen-LM-32B",
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"charlie-li/Qwen3-Coder-30B-A3B-Instruct-Lora-ScaleSWE-Distilled-v1",
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"ibm-granite/granite-4.1-30b-base",
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"open-thoughts/OpenThinkerAgent-32B",
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"zai-org/chatglm-6b",
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"drbaph/s2-pro-fp8",
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"Youssofal/Qwen3.8-27B-MTPLX-Optimized-Speed-FP16",
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"groxaxo/s2-pro-BnB-4Bits",
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"TomoroAI/tomoro-ai-colqwen3-embed-8b-awq",
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"TomoroAI/tomoro-ai-colqwen3-embed-4b-awq",
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"aleada/Phi-4-mini-instruct-W4A16",
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"aleada/Phi-4-W4A16",
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"morphllm/dspark-glm52-draft",
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"kanishka/opt-babylm1_no_preemption_laugh_seed-211_5e-6",
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"bachvnju/qwen3-0.6b-coder",
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"xpuenabler/gpt-oss-15.5b-23E-SFT",
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"cyber-pal-security/CyberPal2.0-20B",
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"LeaderboardModel1/grug-27b-AutoRound-W4A16-Tuning",
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"LeaderboardModel1/Qwythos-9B-Claude-Mythos-5-1M-AutoRound-W4A16-Tuning",
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"LeaderboardModel1/Qwevolution-V0-27B-AutoRound-W4A16-RTN",
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"LeaderboardModel1/Qwen3.6-35B-A3B-AutoRound-W4A16-Tuning",
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"LeaderboardModel1/Qwen3.5-4B-AutoRound-W4A16-RTN",
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||||
"YeungNLP/firefly-baichuan-7b-qlora-sft",
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||||
"LeaderboardModel1/Qwen-AgentWorld-35B-A3B-AutoRound-W4A16-RTN",
|
||||
"LeaderboardModel1/Ornith-1.0-35B-AutoRound-W4A16-Tuning",
|
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"LeaderboardModel1/Code-Writer-V2-Obliterated-BF16-AutoRound-W4A16-RTN",
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"LeaderboardModel1/Agents-A1-AutoRound-W4A16-RTN",
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"Qwen/WebWorld-32B",
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"24B-Suite/Mergedonia-PROMETHEUS-24B-v1",
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"zjiayu064/Qwen3-Next-80B-A3B-Instruct-BitsMoE-2bit",
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"praxisresearch/hf_olmo_32b_em_finrisk_1",
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"RESMP-DEV/jina-code-embeddings-1.5b-mxfp4-block-gptq",
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"praxisresearch/hf_olmo_32b_em_finrisk_0",
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"praxisresearch/hf_olmo_32b_em_badmed_1",
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"praxisresearch/hf_olmo_32b_em_badmed_0",
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"Mohamed-Sami-Ghrab/moove-qwen3-32b-medical-sft-v2",
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||||
"Pageshift-Entertainment/pagestorm-research-preview-24b-first-chapter-only",
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"pki/nova-24b-cybersec",
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"ReadyArt/Omega-Darker-Gaslight_The-Final-Forgotten-Fever-Dream-24B",
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"Kwai-AutoSQL/Kwai-AutoSQL-32B",
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]
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MODEL_DIR = Path(__file__).resolve().parent / "model_ids"
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KUNLUNXIN_MODELS = [
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"AI-ModelScope/granite-20b-code-base",
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"vllm-ascend/Qwen3-32B-w8a8sc-310-vllm-tp4",
|
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"KenDual3090tiNvlink/NVIDIA-Nemotron-Labs-3-Puzzle-75B-A9B-W4A16",
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"AI-ModelScope/granite-20b-code-instruct-8k",
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"AI-ModelScope/granite-20b-code-base-8k",
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"openbmb/MiniCPM4-8B-marlin-cpmcu",
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"AI-ModelScope/granite-20b-code-instruct",
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"openbmb/MiniCPM4-8B-marlin-Eagle-vLLM",
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"CaoruiLi/DefectVideoReward",
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"fpadovani/jpn-jpan-100mb-ppt-Dp-10mb_seed10",
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"devika-tiwari/gpt2_small_expandedbabyLM_100M_exp3_conj_ratio_0p25_mix_0p25_43",
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"iamsiddj/EducatorHelperModel",
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"google/gemma-2b-cpp",
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"hroth01/psais-all-MiniLM-L6-v2-20shot",
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"devika-tiwari/gpt2_small_expandedbabyLM_100M_exp3_wh_v2_ratio_1p00_mix_0p25_44",
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"anicka/ke-v9-8b",
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"EBLANSoft/eblangpt-falos67",
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"fpadovani/eng-latn-10mb-ppt-shuff-dyck-disjoint-tok_seed3407",
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"ilhkn/my-awesome-setfit-model",
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"fpadovani/eng-latn-10mb-ppt-Dp-100mb_seed10",
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"penupup/quora-distilbert-multilingual-lcqmc-sfa-hr",
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"hroth/psais-paraphrase-multilingual-MiniLM-L12-v2-20shot",
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"hroth/psais-LaBSE-10shot",
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"malaiwah/GLM-5.2-SIQ-Fruit-Instruct",
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"fpadovani/eng-latn-100mb-ppt-shuff-dyck-100mb_seed10",
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"arshiysohrevardi/moeinGTS1.5-1.5b",
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"Q1ngMang/LFM2.5-350M-PT-zh_CN",
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"fpadovani/dan-latn-10mb-after-ppt-Dp-10mb-ckpt500_seed3407",
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"flywheel-ai/real-estate",
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"hroth/psais-all-MiniLM-L6-v2-1shot",
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"stjiris/bert-large-portuguese-cased-legal-tsdae",
|
||||
"bartowski/deepseek-llm-7b-base-exl2",
|
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"lsm0729/Qwen2.5-VL-3B-Instruct-quantized.w8a8",
|
||||
"LeVraiCNL/ornith_finetune_v3",
|
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"fawazatvetted/fine_tuned_mpnetv3",
|
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"cjos/my-awesome-setfit-model",
|
||||
"litert-community/Ministral-3-3B-Reasoning-2512",
|
||||
"mizzaay/6de7a1b5",
|
||||
"MU-Kindai/SBERT-JSNLI-base",
|
||||
"JoBeer/multi-qa-mpnet-base-dot-v1-eclass",
|
||||
"pkshatech/simcse-ja-bert-base-clcmlp",
|
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"amd/Phi-4-mini-instruct-onnx-ryzenai-hybrid",
|
||||
"amd/Phi-3.5-mini-instruct-onnx-ryzenai-hybrid",
|
||||
"louisbetsch/new-classification-model",
|
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"aammari/setfit-zero-shot-classification-pbsp-p3-cons",
|
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"JoBeer/all-mpnet-base-v2-eclass",
|
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"arithmetic-circuit-overloading/gpt2-64D-1L-4H",
|
||||
"aammari/setfit-zero-shot-classification-pbsp-p3-trig",
|
||||
"gart-labor/eng-distilBERT-se-eclass",
|
||||
"arithmetic-circuit-overloading/gpt2-256D-1L-8H",
|
||||
"gemasphi/f-real-setfit-ss-paraphrase-multilingual-mpnet-base-v2",
|
||||
"fawazatvetted/fine_tuned_mpnetv2",
|
||||
"leerobert/my-awesome-setfit-model",
|
||||
"aleada/Phi-4-mini-instruct-W4A16",
|
||||
"aleada/Phi-4-W4A16",
|
||||
"lewtun/setfit-minilm-distilled-test",
|
||||
"aparna1595/bert-mpnet-sentence",
|
||||
"amd/Phi-4-mini-reasoning-onnx-ryzenai-hybrid",
|
||||
"mssongit/fndeberta-sentence",
|
||||
"amd/Phi-3.5-mini-instruct-onnx-ryzenai-npu",
|
||||
"amd/Phi-3-mini-4k-instruct-onnx-ryzenai-hybrid",
|
||||
"aammari/setfit-zero-shot-classification-pbsp-p3-dur",
|
||||
"aammari/setfit-zero-shot-classification-pbsp-p3-freq",
|
||||
"dlicari/distil-ita-legal-bert",
|
||||
"aammari/setfit-zero-shot-classification-pbsp-p3-bhvr",
|
||||
"dlicari/sentence-ita-eurlex-bert-base",
|
||||
"lsanochkin/setfit-rubert-intent",
|
||||
"LeaderboardModel1/grug-27b-AutoRound-W4A16-Tuning",
|
||||
"microsoft/VibeVoice-Realtime-0.5B",
|
||||
"ShwetActhq/dummy_setfit",
|
||||
"gemasphi/real-setfit-ss-paraphrase-multilingual-mpnet-base-v2",
|
||||
"OpenVoiceOS/canary-qwen-2.5b-onnx",
|
||||
"LeaderboardModel1/Qwythos-9B-Claude-Mythos-5-1M-AutoRound-W4A16-Tuning",
|
||||
"LeaderboardModel1/Qwevolution-V0-27B-AutoRound-W4A16-RTN",
|
||||
"LeaderboardModel1/Qwen3.6-35B-A3B-AutoRound-W4A16-Tuning",
|
||||
"LeaderboardModel1/Qwen3.5-4B-AutoRound-W4A16-RTN",
|
||||
"YeungNLP/firefly-baichuan-7b-qlora-sft",
|
||||
"LeaderboardModel1/Qwen-AgentWorld-35B-A3B-AutoRound-W4A16-RTN",
|
||||
"LeaderboardModel1/Ornith-1.0-35B-AutoRound-W4A16-Tuning",
|
||||
"LeaderboardModel1/Code-Writer-V2-Obliterated-BF16-AutoRound-W4A16-RTN",
|
||||
"salihfurkaan/Qwen2.5-VL-ScienceQA-Math-CoT-Merged",
|
||||
"LeaderboardModel1/Agents-A1-AutoRound-W4A16-RTN",
|
||||
"aammari/setfit-zero-shot-classification-pbsp-p1",
|
||||
"meta-llama/Prompt-Guard-86M",
|
||||
"kornwtp/ConGen-paraphrase-multilingual-mpnet-base-v2",
|
||||
"zjiayu064/Qwen3-Next-80B-A3B-Instruct-BitsMoE-2bit",
|
||||
"kornwtp/ConGen-simcse-model-roberta-base-thai",
|
||||
"praxisresearch/hf_olmo_32b_em_finrisk_1",
|
||||
"gemasphi/setfit-ss-paraphrase-multilingual-mpnet-base-v2",
|
||||
"RESMP-DEV/jina-code-embeddings-1.5b-mxfp4-block-gptq",
|
||||
"praxisresearch/hf_olmo_32b_em_finrisk_0",
|
||||
"praxisresearch/hf_olmo_32b_em_badmed_1",
|
||||
"praxisresearch/hf_olmo_32b_em_badmed_0",
|
||||
"lmxhappy/brand_bert",
|
||||
"kamalkraj/BioSimCSE-BioLinkBERT-BASE",
|
||||
"lmxhappy/tiyu_bert",
|
||||
"ReadyArt/Omega-Darker-Gaslight_The-Final-Forgotten-Fever-Dream-24B",
|
||||
"Kwai-AutoSQL/Kwai-AutoSQL-32B",
|
||||
"ibaucells/paraphrase-multilingual-mpnet-base-v2_tecla_label2_8",
|
||||
"futuredatascience/action-classifier-v2",
|
||||
"LoneStriker/Orca-2-13b-5.0bpw-h6-exl2",
|
||||
"futuredatascience/to-classifier-v2",
|
||||
"futuredatascience/from-classifier-v2",
|
||||
"shrinivasbjoshi/r2-w266-setfit-mbti-multiclass-hypsearch-mpnet-nov30",
|
||||
]
|
||||
|
||||
BIREN_MODELS = [
|
||||
"emrevrg/Norovox-Alpha-MoE-7.0B",
|
||||
"emrevrg/Norovox-Alpha-MoE-1.2B",
|
||||
"emrevrg/Norovox-Alpha-MoE-3.9B",
|
||||
"AI-ModelScope/granite-20b-code-base",
|
||||
"vllm-ascend/Qwen3-32B-w8a8sc-310-vllm-tp4",
|
||||
"KenDual3090tiNvlink/NVIDIA-Nemotron-Labs-3-Puzzle-75B-A9B-W4A16",
|
||||
"AI-ModelScope/granite-20b-code-instruct-8k",
|
||||
"openbmb/MiniCPM4-8B-marlin-cpmcu",
|
||||
"openbmb/MiniCPM4-8B-marlin-Eagle-vLLM",
|
||||
"CaoruiLi/DefectVideoReward",
|
||||
"ConstDemi/vikhr-nemo-12b-instruct-r-awq",
|
||||
"pei39/deepseek_r1_distill_qwen_7b_awq_rag",
|
||||
"devika-tiwari/gpt2_small_expandedbabyLM_100M_exp3_conj_ratio_0p25_mix_0p25_43",
|
||||
"RadixArk/Qwen3.8-27B-DSpark",
|
||||
"iamsiddj/EducatorHelperModel",
|
||||
"google/gemma-2b-cpp",
|
||||
"hroth01/psais-all-MiniLM-L6-v2-20shot",
|
||||
"devika-tiwari/gpt2_small_expandedbabyLM_100M_exp3_wh_v2_ratio_1p00_mix_0p25_44",
|
||||
"EBLANSoft/eblangpt-falos67",
|
||||
"ilhkn/my-awesome-setfit-model",
|
||||
"Ddavidich/LOMONOSOV-ZENIT-27B-1M-INDEV",
|
||||
"EleutherAI/quirky-pythia-410m-mixture",
|
||||
"penupup/quora-distilbert-multilingual-lcqmc-sfa-hr",
|
||||
"nomic-ai/nomic-embed-text-v2-moe",
|
||||
"Jolieb/tinyllama-lora-object-sorting",
|
||||
"arshiysohrevardi/moeinGTS1.5-1.5b",
|
||||
"Xenova/pythia-410m-deduped",
|
||||
"Q1ngMang/LFM2.5-350M-PT-zh_CN",
|
||||
"nessy-studio/poison-gemma",
|
||||
"flywheel-ai/real-estate",
|
||||
"Pacific-i64/TR-MOE-306",
|
||||
"bartowski/internlm2-chat-20b-llama-old",
|
||||
"farbodtavakkoli/OTel-LLM-E4B-IT",
|
||||
"hroth/psais-all-MiniLM-L6-v2-1shot",
|
||||
"famseamus/LFM2.5-DCR-8B-A1B",
|
||||
"narendarcodes/adaption-sec-financial-arithmetic-109b",
|
||||
"narendarcodes/adaption-gpt-oss-120b-telugu-instruct",
|
||||
"stjiris/bert-large-portuguese-cased-legal-tsdae",
|
||||
"bartowski/deepseek-llm-7b-base-exl2",
|
||||
"Blackfrost-AI/Lumix-4B",
|
||||
"developer-lunark/Qwen3-30B-Korean-Roleplay",
|
||||
"kshitijthakkar/loggenix-moe-0.3B-A0.1B-smolagents-v0-grpo",
|
||||
"LLM-Research/Phi-4-mini-flash-reasoning",
|
||||
"ib-ssm/mamba2-8b-3t-4k-hf",
|
||||
"dfgertg/idk",
|
||||
"LeVraiCNL/ornith_finetune_v3",
|
||||
"fawazatvetted/fine_tuned_mpnetv3",
|
||||
"riccardozaccone96/flexrank-llama3.2-1B",
|
||||
"yuchen-zhu-zyc/HybridDiffusion-2B",
|
||||
"fpadovani/jpn-jpan-100mb-after-ppt-shuff-dyck-10mb-ckpt500_seed455",
|
||||
"infgrad/Prism-Qwen3.5-Reranker-0.8B",
|
||||
"cjos/my-awesome-setfit-model",
|
||||
"BananaMind/BananaMind-2-Nano",
|
||||
"litert-community/Ministral-3-3B-Reasoning-2512",
|
||||
"livadies/Bonsai-27B-Android-Local",
|
||||
"blockblockblock/Qwen2.5-0.5B-Instruct-exl3-3.0bpw",
|
||||
"WizardLMTeam/WizardCoder-33B-V1.1",
|
||||
"amd/Phi-4-mini-instruct-onnx-ryzenai-hybrid",
|
||||
"Tesslate/UIGEN-X-32B-0727",
|
||||
"AscendKernelGen/KernelGen-LM-32B",
|
||||
"charlie-li/Qwen3-Coder-30B-A3B-Instruct-Lora-ScaleSWE-Distilled-v1",
|
||||
"open-thoughts/OpenThinkerAgent-32B",
|
||||
"drbaph/s2-pro-fp8",
|
||||
"groxaxo/s2-pro-BnB-4Bits",
|
||||
"TomoroAI/tomoro-ai-colqwen3-embed-8b-awq",
|
||||
"TomoroAI/tomoro-ai-colqwen3-embed-4b-awq",
|
||||
"aleada/Phi-4-mini-instruct-W4A16",
|
||||
"aleada/Phi-4-W4A16",
|
||||
"amd/Phi-4-mini-reasoning-onnx-ryzenai-hybrid",
|
||||
"amd/Phi-3.5-mini-instruct-onnx-ryzenai-npu",
|
||||
"amd/Phi-3-mini-4k-instruct-onnx-ryzenai-hybrid",
|
||||
"cyber-pal-security/CyberPal2.0-20B",
|
||||
"LeaderboardModel1/grug-27b-AutoRound-W4A16-Tuning",
|
||||
"Qwen/Qwen-AgentWorld-35B-A3B",
|
||||
"jinxing6609/olmo3-7b-zh-merged",
|
||||
"LeaderboardModel1/Qwythos-9B-Claude-Mythos-5-1M-AutoRound-W4A16-Tuning",
|
||||
"LeaderboardModel1/Qwevolution-V0-27B-AutoRound-W4A16-RTN",
|
||||
"LeaderboardModel1/Qwen3.6-35B-A3B-AutoRound-W4A16-Tuning",
|
||||
"LeaderboardModel1/Qwen3.5-4B-AutoRound-W4A16-RTN",
|
||||
"LeaderboardModel1/Qwen-AgentWorld-35B-A3B-AutoRound-W4A16-RTN",
|
||||
"LeaderboardModel1/Ornith-1.0-35B-AutoRound-W4A16-Tuning",
|
||||
"LeaderboardModel1/Code-Writer-V2-Obliterated-BF16-AutoRound-W4A16-RTN",
|
||||
"LeaderboardModel1/Agents-A1-AutoRound-W4A16-RTN",
|
||||
"Qwen/WebWorld-32B",
|
||||
"24B-Suite/Mergedonia-PROMETHEUS-24B-v1",
|
||||
"zjiayu064/Qwen3-Next-80B-A3B-Instruct-BitsMoE-2bit",
|
||||
"praxisresearch/hf_olmo_32b_em_finrisk_1",
|
||||
"RESMP-DEV/jina-code-embeddings-1.5b-mxfp4-block-gptq",
|
||||
"praxisresearch/hf_olmo_32b_em_finrisk_0",
|
||||
"praxisresearch/hf_olmo_32b_em_badmed_1",
|
||||
"praxisresearch/hf_olmo_32b_em_badmed_0",
|
||||
"allenai/MolmoAct-7B-D-Pretrain-0812",
|
||||
"allenai/MolmoAct-7B-D-LIBERO-Object-0812",
|
||||
"Mohamed-Sami-Ghrab/moove-qwen3-32b-medical-sft-v2",
|
||||
"pki/nova-24b-cybersec",
|
||||
"ReadyArt/Omega-Darker-Gaslight_The-Final-Forgotten-Fever-Dream-24B",
|
||||
"Kwai-AutoSQL/Kwai-AutoSQL-32B",
|
||||
"litert-community/gemma-3-270m-it",
|
||||
"LoneStriker/Orca-2-13b-5.0bpw-h6-exl2",
|
||||
]
|
||||
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
|
||||
|
||||
CAMBRICON_MODELS = [
|
||||
"emrevrg/Norovox-Alpha-MoE-7.0B",
|
||||
"emrevrg/Norovox-Alpha-MoE-1.2B",
|
||||
"emrevrg/Norovox-Alpha-MoE-3.9B",
|
||||
"AI-ModelScope/granite-20b-code-base",
|
||||
"llm-jp/llm-jp-4-32b-a3b-thinking",
|
||||
"vllm-ascend/Qwen3-32B-w8a8sc-310-vllm-tp4",
|
||||
"YOYO-AI/ZYH-LLM-Qwen2.5-14B-V2",
|
||||
"DCAgent/g1_clean_hybrid_25k_32b",
|
||||
"amd/gpt-oss-20b-BF16-w8a8-llmcompressor",
|
||||
"KoboldAI/fairseq-dense-13B-Janeway",
|
||||
"KenDual3090tiNvlink/NVIDIA-Nemotron-Labs-3-Puzzle-75B-A9B-W4A16",
|
||||
"AI-ModelScope/granite-20b-code-instruct-8k",
|
||||
"openbmb/MiniCPM4-8B-marlin-cpmcu",
|
||||
"AI-ModelScope/granite-20b-code-instruct",
|
||||
"openbmb/MiniCPM4-8B-marlin-Eagle-vLLM",
|
||||
"CaoruiLi/DefectVideoReward",
|
||||
"ConstDemi/vikhr-nemo-12b-instruct-r-awq",
|
||||
"sapidlabs/Sparkulator-GLM-5.2",
|
||||
"pei39/deepseek_r1_distill_qwen_7b_awq_rag",
|
||||
"fpadovani/jpn-jpan-100mb-ppt-Dp-10mb_seed10",
|
||||
"Zynerji/Ektome-Qwen3-VL-4Bi-PristinelyUncensored",
|
||||
"Zynerji/Ektome-Qwen3-VL-2Bi-PristinelyUncensored",
|
||||
"iamsiddj/EducatorHelperModel",
|
||||
"vorenthiclabs/vorenthos-vision-thinking-qwq-7b",
|
||||
"lodestones/gemma-7b-flax",
|
||||
"google/gemma-2b-cpp",
|
||||
"jinaai/jina-reranker-v3.5",
|
||||
"hroth01/psais-all-MiniLM-L6-v2-20shot",
|
||||
"anicka/ke-v9-8b",
|
||||
"EBLANSoft/eblangpt-falos67",
|
||||
"fpadovani/eng-latn-10mb-ppt-shuff-dyck-disjoint-tok_seed3407",
|
||||
"ilhkn/my-awesome-setfit-model",
|
||||
"Ddavidich/LOMONOSOV-ZENIT-27B-1M-INDEV",
|
||||
"fpadovani/eng-latn-10mb-ppt-Dp-100mb_seed10",
|
||||
"penupup/quora-distilbert-multilingual-lcqmc-sfa-hr",
|
||||
"hroth/psais-paraphrase-multilingual-MiniLM-L12-v2-20shot",
|
||||
"hroth/psais-LaBSE-10shot",
|
||||
"TurkuNLP/web-register-classification-multilingual",
|
||||
"malaiwah/GLM-5.2-SIQ-Fruit-Instruct",
|
||||
"nomic-ai/nomic-embed-text-v2-moe",
|
||||
"Udoba45/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-tall_thorny_boar",
|
||||
"VerStella/Qwen3.8-27B-heretic-ara-W8A8-DCU",
|
||||
"LamNguyen0904/vistral-medical-adapter",
|
||||
"Jolieb/tinyllama-lora-object-sorting",
|
||||
"ibm-granite/granite-embedding-30m-sparse",
|
||||
"arshiysohrevardi/moeinGTS1.5-1.5b",
|
||||
"Undi95/Mistral-11B-OmniMix",
|
||||
"Xenova/pythia-410m-deduped",
|
||||
"Undi95/Mistral-11B-CC-Air",
|
||||
"Q1ngMang/LFM2.5-350M-PT-zh_CN",
|
||||
"nessy-studio/poison-gemma",
|
||||
"Undi95/Mistral-11B-Airoboros-v0.1",
|
||||
"flywheel-ai/real-estate",
|
||||
"hroth/psais-all-MiniLM-L6-v2-1shot",
|
||||
"stjiris/bert-large-portuguese-cased-legal-tsdae",
|
||||
"bartowski/deepseek-llm-7b-base-exl2",
|
||||
"llm-semantic-router/mmbert-fact-check-merged",
|
||||
"LeVraiCNL/ornith_finetune_v3",
|
||||
"fawazatvetted/fine_tuned_mpnetv3",
|
||||
"berkbirkan/gemma-3-lora-finetune-x-replies",
|
||||
"nm-testing/Qwen3-4B-mixed-quant-RTN-wNaM-a4",
|
||||
"infgrad/Prism-Qwen3.5-Reranker-0.8B",
|
||||
"cjos/my-awesome-setfit-model",
|
||||
"OpenMed/OpenMed-PII-French-BioClinicalBERT-Base-110M-v1",
|
||||
"seerware/granite-embedding-30m-sparse",
|
||||
"MU-Kindai/SBERT-JSNLI-base",
|
||||
"OpenMed/OpenMed-PII-French-BiomedELECTRA-Large-335M-v1",
|
||||
"JoBeer/multi-qa-mpnet-base-dot-v1-eclass",
|
||||
"OpenMed/OpenMed-PII-French-BiomedELECTRA-Base-110M-v1",
|
||||
"OpenMed/OpenMed-PII-French-BiomedBERT-Large-340M-v1",
|
||||
"infgrad/Prism-Qwen3.5-Reranker-4B",
|
||||
"pkshatech/simcse-ja-bert-base-clcmlp",
|
||||
"RCouronnePEReN/gpt2_finetuned_overfit-10epochs-128tokens",
|
||||
"q-future/Q-ReAlign-Pro-9B",
|
||||
"vrfai/gemma-4-12B-it-fp8",
|
||||
"amd/Phi-4-mini-instruct-onnx-ryzenai-hybrid",
|
||||
"OpenMed/OpenMed-PII-German-BioClinicalBERT-Base-110M-v1",
|
||||
"louisbetsch/new-classification-model",
|
||||
"Trendyol/Trendyol-LLM-Asure-12B",
|
||||
"OpenMed/OpenMed-PII-German-BiomedELECTRA-Large-335M-v1",
|
||||
"OpenMed/OpenMed-PII-German-BiomedELECTRA-Base-110M-v1",
|
||||
"OpenMed/OpenMed-PII-German-BiomedBERT-Base-110M-v1",
|
||||
"aammari/setfit-zero-shot-classification-pbsp-p3-cons",
|
||||
"JoBeer/all-mpnet-base-v2-eclass",
|
||||
"BalaRajesh1/mmbert-small-nli",
|
||||
"aammari/setfit-zero-shot-classification-pbsp-p3-trig",
|
||||
"charlie-li/Qwen3-Coder-30B-A3B-Instruct-Lora-ScaleSWE-Distilled-v1",
|
||||
"quanda-bench-test/gpt2-small-trex-openwebtext-hf",
|
||||
"quanda-bench-test/gpt2-small-trex-hf",
|
||||
"quanda-bench-test/gpt2-small-trex-wikitext-ft-hf",
|
||||
"quanda-bench-test/gpt2-small-trex-wikitext-hf",
|
||||
"quanda-bench-test/gpt2-small-trex-openwebtext-ft-hf",
|
||||
"quanda-bench-test/gpt2-small-trex-ft-hf",
|
||||
"gart-labor/eng-distilBERT-se-eclass",
|
||||
"Pakorn2112/Orpheus-TTS-hmong-3b",
|
||||
"OpenMed/OpenMed-PII-Italian-BiomedBERT-Base-110M-v1",
|
||||
"OpenMed/OpenMed-PII-Italian-BioClinicalBERT-Base-110M-v1",
|
||||
"gemasphi/f-real-setfit-ss-paraphrase-multilingual-mpnet-base-v2",
|
||||
"OpenMed/OpenMed-PII-Italian-BiomedELECTRA-Large-335M-v1",
|
||||
"ans2004/aragpt2-transport-autocomplete",
|
||||
"fawazatvetted/fine_tuned_mpnetv2",
|
||||
"Auparima/thaifood-embed",
|
||||
"OpenMed/OpenMed-PII-Italian-BiomedBERT-Large-340M-v1",
|
||||
"OpenMed/OpenMed-PII-Italian-BiomedELECTRA-Base-110M-v1",
|
||||
"fishaudio/s2-pro",
|
||||
"drbaph/s2-pro-fp8",
|
||||
"leerobert/my-awesome-setfit-model",
|
||||
"OpenMed/OpenMed-PII-Spanish-BioClinicalBERT-Base-110M-v1",
|
||||
"OpenMed/OpenMed-PII-Spanish-BiomedELECTRA-Base-110M-v1",
|
||||
"OpenMed/OpenMed-PII-Spanish-BiomedBERT-Large-340M-v1",
|
||||
"OpenMed/OpenMed-PII-Spanish-BiomedBERT-Base-110M-v1",
|
||||
"groxaxo/s2-pro-BnB-4Bits",
|
||||
"ReconOut/granite-embedding-english-r2",
|
||||
"Imagilux/fishaudio-s2-pro",
|
||||
"TomoroAI/tomoro-ai-colqwen3-embed-8b-awq",
|
||||
"TomoroAI/tomoro-ai-colqwen3-embed-4b-awq",
|
||||
"aleada/Phi-4-mini-instruct-W4A16",
|
||||
"aleada/Phi-4-W4A16",
|
||||
"lewtun/setfit-minilm-distilled-test",
|
||||
"morphllm/dspark-glm52-draft",
|
||||
"tomaarsen/jina-embeddings-v3-hf",
|
||||
"ibm-granite/granite-embedding-311m-multilingual-r2",
|
||||
"aparna1595/bert-mpnet-sentence",
|
||||
"ibm-granite/granite-embedding-97m-multilingual-r2",
|
||||
"FINAL-Bench/Darwin-TTS-1.7B-Cross",
|
||||
"amd/Phi-4-mini-reasoning-onnx-ryzenai-hybrid",
|
||||
"jinaai/jina-embeddings-v3-hf",
|
||||
"gluschenko/omnivoice-onnx",
|
||||
"mssongit/fndeberta-sentence",
|
||||
"splendor1811/omnivoice-vietnamese",
|
||||
"amd/Phi-3.5-mini-instruct-onnx-ryzenai-npu",
|
||||
"yugeshkarunamurthy/Ornith-1.0-9B-oQe6",
|
||||
"amd/Phi-3-mini-4k-instruct-onnx-ryzenai-hybrid",
|
||||
"yugeshkarunamurthy/Ornith-1.0-9B-oQe3.5",
|
||||
"aammari/setfit-zero-shot-classification-pbsp-p3-dur",
|
||||
"aammari/setfit-zero-shot-classification-pbsp-p3-freq",
|
||||
"dlicari/distil-ita-legal-bert",
|
||||
"maya-multimodal/Qwen3.5-9B-aerialsim-rl-step100",
|
||||
"aammari/setfit-zero-shot-classification-pbsp-p3-bhvr",
|
||||
"dlicari/sentence-ita-eurlex-bert-base",
|
||||
"lsanochkin/setfit-rubert-intent",
|
||||
"cyber-pal-security/CyberPal2.0-20B",
|
||||
"LeaderboardModel1/grug-27b-AutoRound-W4A16-Tuning",
|
||||
"microsoft/VibeVoice-Realtime-0.5B",
|
||||
"Qwen/Qwen-AgentWorld-35B-A3B",
|
||||
"ShwetActhq/dummy_setfit",
|
||||
"gemasphi/real-setfit-ss-paraphrase-multilingual-mpnet-base-v2",
|
||||
"OpenVoiceOS/canary-qwen-2.5b-onnx",
|
||||
"nvidia/nemotron-labs-audio-visual-flamingo-hf",
|
||||
"LeaderboardModel1/Qwythos-9B-Claude-Mythos-5-1M-AutoRound-W4A16-Tuning",
|
||||
"LeaderboardModel1/Qwevolution-V0-27B-AutoRound-W4A16-RTN",
|
||||
"LeaderboardModel1/Qwen3.6-35B-A3B-AutoRound-W4A16-Tuning",
|
||||
"LeaderboardModel1/Qwen3.5-4B-AutoRound-W4A16-RTN",
|
||||
"YeungNLP/firefly-baichuan-7b-qlora-sft",
|
||||
"LeaderboardModel1/Qwen-AgentWorld-35B-A3B-AutoRound-W4A16-RTN",
|
||||
"LeaderboardModel1/Ornith-1.0-35B-AutoRound-W4A16-Tuning",
|
||||
"LeaderboardModel1/Code-Writer-V2-Obliterated-BF16-AutoRound-W4A16-RTN",
|
||||
"salihfurkaan/Qwen2.5-VL-ScienceQA-Math-CoT-Merged",
|
||||
"LeaderboardModel1/Agents-A1-AutoRound-W4A16-RTN",
|
||||
"aammari/setfit-zero-shot-classification-pbsp-p1",
|
||||
"meta-llama/Prompt-Guard-86M",
|
||||
"Qwen/WebWorld-32B",
|
||||
"24B-Suite/Mergedonia-PROMETHEUS-24B-v1",
|
||||
"kornwtp/ConGen-paraphrase-multilingual-mpnet-base-v2",
|
||||
"zjiayu064/Qwen3-Next-80B-A3B-Instruct-BitsMoE-2bit",
|
||||
"kornwtp/ConGen-simcse-model-roberta-base-thai",
|
||||
"praxisresearch/hf_olmo_32b_em_finrisk_1",
|
||||
"EleutherAI/pythia-1.4b-addition-first-ft",
|
||||
"gemasphi/setfit-ss-paraphrase-multilingual-mpnet-base-v2",
|
||||
"RESMP-DEV/jina-code-embeddings-1.5b-mxfp4-block-gptq",
|
||||
"praxisresearch/hf_olmo_32b_em_finrisk_0",
|
||||
"praxisresearch/hf_olmo_32b_em_badmed_1",
|
||||
"praxisresearch/hf_olmo_32b_em_badmed_0",
|
||||
"allenai/MolmoAct-7B-D-Pretrain-0812",
|
||||
"allenai/MolmoAct-7B-D-LIBERO-Spatial-0812",
|
||||
"allenai/MolmoAct-7B-D-LIBERO-Object-0812",
|
||||
"lmxhappy/brand_bert",
|
||||
"kamalkraj/BioSimCSE-BioLinkBERT-BASE",
|
||||
"Mohamed-Sami-Ghrab/moove-qwen3-32b-medical-sft-v2",
|
||||
"lmxhappy/tiyu_bert",
|
||||
"ReadyArt/Omega-Darker-Gaslight_The-Final-Forgotten-Fever-Dream-24B",
|
||||
"shrinivasbjoshi/r3-w266-setfit-mbti-noempath-multiclass-hypsearch-mpnet-dec1",
|
||||
"Kwai-AutoSQL/Kwai-AutoSQL-32B",
|
||||
"ibaucells/paraphrase-multilingual-mpnet-base-v2_tecla_label2_8",
|
||||
"futuredatascience/action-classifier-v2",
|
||||
"futuredatascience/to-classifier-v2",
|
||||
"futuredatascience/from-classifier-v2",
|
||||
"shrinivasbjoshi/r2-w266-setfit-mbti-multiclass-hypsearch-mpnet-nov30",
|
||||
]
|
||||
|
||||
METAX_MODELS = load_model_ids("MetaX_c-500_2026-09-24.txt")
|
||||
|
||||
KUNLUNXIN_MODELS = load_model_ids("Kunlunxin_p-800_2026-09-24.txt")
|
||||
|
||||
BIREN_MODELS = load_model_ids("Biren_166m_2026-09-24.txt")
|
||||
|
||||
CAMBRICON_MODELS = load_model_ids("Cambricon_mlu-370-x8_2026-09-24.txt")
|
||||
|
||||
HYGON_MODELS = [
|
||||
"emrevrg/Norovox-Alpha-MoE-7.0B",
|
||||
@@ -2019,25 +1546,14 @@ PPU_MODELS = [
|
||||
"espressovi/BODHI-qwen-3-maze-8b-distil",
|
||||
]
|
||||
|
||||
# 本轮提交「放宽口径」的筛选结果：MetaX_c-500(89) / Kunlunxin_p-800(104) /
|
||||
# hygon_k100-ai(811) / Cambricon_mlu-370-x8(188) / Iluvatar_bi-150(75) /
|
||||
# Biren_166m(99)，共 1366 个。
|
||||
#
|
||||
# 筛选条件②从「别的卡已验证」放宽为「别的卡已验证 或 验证中」：
|
||||
# 正在验证说明模型已通过平台基本检查（格式/唯一性），只是还没出结果。
|
||||
# 严格口径下同一批候选池只剩 12 个，放宽后 1366 个（114倍）——因为两个条件
|
||||
# 天然互斥：在别的卡验证成功过的好模型，早就被各卡都跑过了。
|
||||
#
|
||||
# 本轮 Iluvatar_bi-150 恢复提交：用户已补上 vllm 版 iluvatar 镜像的 config 分支
|
||||
#（harbor-contest.4pd.io/luopingyi/enginex-iluvatar-bi150/vllm:0.8.3）。
|
||||
# 本轮不提交 Mthreads_s4000（保留既有列表）/ ppu_zw_810e（机制B无白名单权限）/
|
||||
# Sunrise_pt-200-x1（v1.0.13已完成）
|
||||
# 本轮使用 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：Biren(6)、Cambricon(179)、
|
||||
# Kunlunxin(180)、MetaX(40)，共 405 个 GPU/模型任务。
|
||||
# PPU 和 Hygon 已由 zhoushasha 策略提交，本轮不重复提交。
|
||||
GPU_JOBS: List[Tuple[str, List[str]]] = [
|
||||
("MetaX_c-500", METAX_MODELS),
|
||||
("Kunlunxin_p-800", KUNLUNXIN_MODELS),
|
||||
("hygon_k100-ai", HYGON_MODELS),
|
||||
("Cambricon_mlu-370-x8", CAMBRICON_MODELS),
|
||||
("Iluvatar_bi-150", ILUVATAR_BI150_MODELS),
|
||||
("Biren_166m", BIREN_MODELS),
|
||||
]
|
||||
TOTAL_MODELS = sum(len(models) for _, models in GPU_JOBS)
|
||||
@@ -2054,6 +1570,7 @@ _state = {
|
||||
"submitted": 0,
|
||||
"failed": 0,
|
||||
"per_account": {label: 0 for label, _, _ in ACTIVE_ACCOUNTS},
|
||||
"per_gpu": {gpu: 0 for gpu, _ in GPU_JOBS},
|
||||
"current_account": ACTIVE_ACCOUNTS[0][0],
|
||||
"started_at": None,
|
||||
"finished_at": None,
|
||||
@@ -2408,6 +1925,7 @@ def _run_worker():
|
||||
|
||||
if submitted_ok:
|
||||
_state["submitted"] += 1
|
||||
_state["per_gpu"][gpu_type] += 1
|
||||
successful.append(f"{gpu_type}\t{model_id}")
|
||||
else:
|
||||
_state["failed"] += 1
|
||||
@@ -2423,7 +1941,8 @@ def _run_worker():
|
||||
_state["phase"] = "done"
|
||||
print(
|
||||
f"[worker] 完成 submitted={_state['submitted']} failed={_state['failed']} "
|
||||
f"total={_state['total']} per_account={_state['per_account']}",
|
||||
f"total={_state['total']} per_account={_state['per_account']} "
|
||||
f"per_gpu={_state['per_gpu']}",
|
||||
flush=True,
|
||||
)
|
||||
# 提交完成后继续保持进程存活，等待平台停止
|
||||
|
||||
6
model_ids/Biren_166m_2026-09-24.txt
Normal file
6
model_ids/Biren_166m_2026-09-24.txt
Normal file
@@ -0,0 +1,6 @@
|
||||
kaividlabs/qwen3-4b-awq
|
||||
quyetdev/qwen3_8B_v3_fine_tuned_awq
|
||||
zerofata/MS3.2-PaintedFantasy-v3-24B
|
||||
ibm-granite/granite-4.1-30b
|
||||
HuggingFaceTB/SmolLM2-ablation-ultrachat-v2
|
||||
waltonfuture/qwen2.5vl-3b-32b-longest-5153
|
||||
179
model_ids/Cambricon_mlu-370-x8_2026-09-24.txt
Normal file
179
model_ids/Cambricon_mlu-370-x8_2026-09-24.txt
Normal file
@@ -0,0 +1,179 @@
|
||||
kaividlabs/qwen3-4b-awq
|
||||
glins7/cashgo-role_classification
|
||||
futuredatascience/from-classifier-v1
|
||||
kowshik/upsc-classification-model-v1
|
||||
lewispons/large-email-classifier
|
||||
YouLiXiya/tinyllava-v1.0-1.1b-hf
|
||||
javiervela/sentence-transformers_distiluse-base-multilingual-cased-v2_50-50_all-v2_sequence_oaei_final
|
||||
Vishwas/intent_classification
|
||||
mrm8488/setfit-mpnet-base-v2-finetuned-spam-detection
|
||||
kornwtp/ConGen-RoBERTa-base
|
||||
kornwtp/ConGen-BERT-Small
|
||||
kornwtp/ConGen-TinyBERT-L4
|
||||
kornwtp/ConGen-BERT-Mini
|
||||
kornwtp/ConGen-BERT-Tiny
|
||||
TingChenChang/cMedQA2-multi-qa-mpnet-zh
|
||||
dvilasuero/my-test-setfit
|
||||
mrm8488/setfit-mpnet-base-v2-finetuned-sentEval-CR
|
||||
jamescalam/mpnet-nli-sts
|
||||
jamescalam/mpnet-snli-negatives
|
||||
teven/cross_all-mpnet-base-v2_finetuned_WebNLG2020_correctness
|
||||
firqaaa/indo-sentence-bert-base
|
||||
income/bpr-gpl-scifact-base-msmarco-distilbert-tas-b
|
||||
ceggian/sbert_standard_reddit_mnr
|
||||
DMetaSoul/sbert-chinese-qmc-domain-v1-distill
|
||||
sentence-transformers/msmarco-distilbert-base-v4
|
||||
DMetaSoul/sbert-chinese-qmc-domain-v1
|
||||
mariolux/sherpa-onnx-telespeech-ctc-zh-2024-06-04
|
||||
whaleloops/phrase-bert
|
||||
valurank/paraphrase-mpnet-base-v2-offensive
|
||||
usc-isi/sbert-roberta-large-anli-mnli-snli
|
||||
uer/sbert-base-chinese-nli
|
||||
symanto/sn-xlm-roberta-base-snli-mnli-anli-xnli
|
||||
symanto/sn-mpnet-base-snli-mnli
|
||||
sentence-transformers/xlm-r-bert-base-nli-stsb-mean-tokens
|
||||
sentence-transformers/xlm-r-bert-base-nli-mean-tokens
|
||||
sentence-transformers/xlm-r-100langs-bert-base-nli-stsb-mean-tokens
|
||||
sentence-transformers/xlm-r-100langs-bert-base-nli-mean-tokens
|
||||
sentence-transformers/stsb-roberta-large
|
||||
sentence-transformers/stsb-roberta-base
|
||||
sentence-transformers/stsb-roberta-base-v2
|
||||
sentence-transformers/stsb-distilroberta-base-v2
|
||||
sentence-transformers/stsb-distilbert-base
|
||||
sentence-transformers/sentence-t5-xxl
|
||||
sentence-transformers/sentence-t5-xl
|
||||
sentence-transformers/sentence-t5-base
|
||||
sentence-transformers/roberta-large-nli-stsb-mean-tokens
|
||||
sentence-transformers/roberta-large-nli-mean-tokens
|
||||
sentence-transformers/roberta-base-nli-mean-tokens
|
||||
sentence-transformers/quora-distilbert-base
|
||||
sentence-transformers/paraphrase-distilroberta-base-v2
|
||||
sentence-transformers/paraphrase-distilroberta-base-v1
|
||||
sentence-transformers/paraphrase-albert-small-v2
|
||||
sentence-transformers/paraphrase-albert-base-v2
|
||||
sentence-transformers/paraphrase-TinyBERT-L6-v2
|
||||
sentence-transformers/nli-roberta-large
|
||||
sentence-transformers/nli-roberta-base
|
||||
sentence-transformers/nli-roberta-base-v2
|
||||
sentence-transformers/nli-distilroberta-base-v2
|
||||
iic/speech_UniASR_asr_2pass-zh-cn-16k-common-vocab8358-tensorflow1-online
|
||||
iic/speech_UniASR_asr_2pass-ru-16k-common-vocab1664-tensorflow1-online
|
||||
iic/speech_UniASR_asr_2pass-id-16k-common-vocab1067-tensorflow1-online
|
||||
iic/speech_UniASR_asr_2pass-he-16k-common-vocab1085-pytorch
|
||||
iic/speech_UniASR_asr_2pass-en-16k-common-vocab1080-tensorflow1-online
|
||||
sentence-transformers/nli-distilbert-base
|
||||
sentence-transformers/nli-bert-large
|
||||
sentence-transformers/gtr-t5-xxl
|
||||
sentence-transformers/gtr-t5-xl
|
||||
dengcunqin/speech_seaco_paraformer_large_asr_nat-zh-cantonese-en-16k-common-vocab11666-pytorch
|
||||
sentence-transformers/nli-bert-large-cls-pooling
|
||||
Mozilla/llava-v1.5-7b-llamafile
|
||||
MathLLMs/MathCoder-VL-2B
|
||||
Mantis-VL/llava_siglip_llama3_8b_finetune_8192
|
||||
sentence-transformers/nli-bert-base-cls-pooling
|
||||
sentence-transformers/multi-qa-distilbert-dot-v1
|
||||
sentence-transformers/multi-qa-distilbert-cos-v1
|
||||
sentence-transformers/msmarco-distilbert-dot-v5
|
||||
sentence-transformers/msmarco-distilbert-cos-v5
|
||||
sentence-transformers/msmarco-distilbert-base-v2
|
||||
sentence-transformers/msmarco-distilbert-base-dot-prod-v3
|
||||
sentence-transformers/msmarco-bert-co-condensor
|
||||
sentence-transformers/msmarco-bert-base-dot-v5
|
||||
ydyajyA/Llama-2-13b-hf
|
||||
sentence-transformers/gtr-t5-large
|
||||
q2792046875/internVL1B
|
||||
muse/openai-clip-vit-large-patch14
|
||||
sentence-transformers/gtr-t5-base
|
||||
sentence-transformers/facebook-dpr-question_encoder-single-nq-base
|
||||
sentence-transformers/facebook-dpr-question_encoder-multiset-base
|
||||
sentence-transformers/distilbert-base-nli-stsb-quora-ranking
|
||||
llava-hf/llava-v1.6-vicuna-7b-hf
|
||||
sentence-transformers/facebook-dpr-ctx_encoder-multiset-base
|
||||
jinaai/jina-embeddings-v3
|
||||
sentence-transformers/distilroberta-base-msmarco-v1
|
||||
sentence-transformers/distilroberta-base-msmarco-v2
|
||||
sentence-transformers/distilbert-base-nli-mean-tokens
|
||||
Vchitect/ShotVL-3B
|
||||
Qwen/Qwen3-VL-2B-Thinking
|
||||
OpenGVLab/VideoChat-R1_7B
|
||||
yasserrmd/deepseek-esg-assistant
|
||||
Bingdo/dcug_pdf_mixtral_nemo_base_12b
|
||||
unsloth/gemma-3-4b-it
|
||||
unsloth/gemma-3-12b-it
|
||||
theprint/phi-3-mini-4k-gamedev
|
||||
simonlesaumon/Mistral-NeMo-12B-Unslopper-FR-v1
|
||||
reedmayhew/gemma3-12B-claude-3.7-sonnet-reasoning-distilled
|
||||
starVLA/Qwen3-VL-4B-Instruct-Action
|
||||
mistralai/Pixtral-12B-2409
|
||||
mlfoundations-cua-dev/qwen2_5vl_7b_easyr1_10k_hard_qwen7b_easy_gta17b_or_segui3b-4MP
|
||||
mlfoundations-cua-dev/qwen2_5vl_7b_easyr1_10k_hard_segui3b_easy_gta1-4MP
|
||||
DaDing777/qwen2.5-VL-3B-atm-finetune-cot-full
|
||||
waltonfuture/qwen2.5vl-3b-aha-7b-distilled
|
||||
mlfoundations-cua-dev/qwen2_5vl_3b_sft_idm_how_to_onannel_agent_sft_data_local_bs_4_epochs_3
|
||||
waltonfuture/qwen2.5vl-3b-best
|
||||
jeremyhola/LORAs
|
||||
osanseviero/clip-st
|
||||
HuggingFaceTB/SmolLM2-ablation-ultrachat-v2
|
||||
new5558/simcse-model-wangchanberta-base-att-spm-uncased
|
||||
navteca/multi-qa-mpnet-base-cos-v1
|
||||
navteca/all-mpnet-base-v2
|
||||
nanopass/test-model-fe
|
||||
mrp/simcse-model-m-bert-thai-cased
|
||||
mrm8488/roberta-base-bne-finetuned-sqac-retriever
|
||||
laion/openthoughts-4-code-qwen3-32b-annotated-32k_qwen3-1.7B_32k
|
||||
OpenGVLab/InternVL3-1B-Instruct
|
||||
OpenGVLab/InternVL2_5-8B-MPO
|
||||
OpenGVLab/InternVL2_5-2B-MPO
|
||||
OpenGVLab/InternVL2_5-2B
|
||||
sakares/wav2vec2-large-xlsr-thai-demo
|
||||
cahya/wav2vec2-large-xlsr-indonesian
|
||||
indonesian-nlp/wav2vec2-large-xlsr-indonesian-baseline
|
||||
indonesian-nlp/wav2vec2-large-xlsr-indonesian
|
||||
m3hrdadfi/wav2vec2-large-xlsr-persian-v3
|
||||
nguyenvulebinh/wav2vec2-base-vietnamese-250h
|
||||
airesearch/wav2vec2-large-xlsr-53-th
|
||||
indonesian-nlp/wav2vec2-indonesian-javanese-sundanese
|
||||
ctl/wav2vec2-large-xlsr-cantonese
|
||||
jonatasgrosman/wav2vec2-large-xlsr-53-persian
|
||||
jonatasgrosman/wav2vec2-large-xlsr-53-arabic
|
||||
muzamil47/wav2vec2-large-xlsr-53-arabic-demo
|
||||
prithivMLmods/Qwen2-VL-OCR-2B-Instruct
|
||||
waltonfuture/qwen2.5vl-3b-sampled_10000_qwen2.5vl_sc
|
||||
waltonfuture/qwen2.5vl-3b-sampled_5000_qwen2.5vl32b
|
||||
MBZUAI/Qwen-2.5-VL-Instruct-3B-Pointwise-DFJ
|
||||
waltonfuture/qwen2.5vl-3b-rl-sft
|
||||
waltonfuture/qwen2.5vl-3b-sampled_10000_reflection-cot-7b
|
||||
waltonfuture/qwen2.5vl-3b-32b_shuffle
|
||||
waltonfuture/qwen2.5vl-3b-caption-cot-7b
|
||||
waltonfuture/qwen2.5vl-3b-32b-longest-5153
|
||||
waltonfuture/qwen2.5vl-3b-self-critic-cot
|
||||
waltonfuture/qwen2.5vl-3b-sampled_10000_mixed-reflection-cot-32b
|
||||
waltonfuture/qwen2.5vl-3b-sampled_15000_reflection-cot-32b
|
||||
kresnik/wav2vec2-large-xlsr-korean
|
||||
mlfoundations-cua-dev/qwen2_5vl_3b_sft_unified_idm_data_with_new_idm_data_2_frames_local_bs_1
|
||||
zhaokaikai/Qwen2.5-VL-3B-Instruct-Traffic
|
||||
waltonfuture/qwen2.5vl-3b-32b-longest-25767
|
||||
waltonfuture/qwen2.5vl-3b-32b-wrong-response
|
||||
waltonfuture/qwen2.5vl-3b-sampled_all_qwen2.5vl32b
|
||||
OpenMed/Qwen2.5-3B-MedVL
|
||||
maxidl/wav2vec2-large-xlsr-german
|
||||
imvladikon/wav2vec2-xls-r-300m-hebrew
|
||||
dbdmg/wav2vec2-xls-r-300m-italian-robust
|
||||
mikr/whisper-large-v3-czech-cv13
|
||||
prithivMLmods/ChemQwen-vL
|
||||
ocordeiro/w2v-bert-2.0-portuguese-colab-CV16.0
|
||||
jyyyyy67/Llama3.1-8B_weak-minded_Bar_LoRA
|
||||
whitefox123/w2v-bert-2.0-arabic-4
|
||||
Finnish-NLP/wav2vec2-xlsr-1b-finnish-lm-v2
|
||||
01ai/Yi-VL-6B
|
||||
AI-ModelScope/bert-base-uncased
|
||||
Qwen/Qwen3-VL-4B-Instruct
|
||||
Bidwill/whisper-small-sanskrit
|
||||
Baraa123R/whisper-finetuned-TheArabMaghreb2
|
||||
Apel-sin/whisper-large-v3-russian-ties-podlodka-v1.2
|
||||
Finnish-NLP/wav2vec2-xlsr-300m-finnish-lm
|
||||
GetmanY1/wav2vec2-large-fi-150k-finetuned
|
||||
groxaxo/octen-embedding-8b-w4a16
|
||||
unsloth/orpheus-3b-0.1-ft
|
||||
cvis-tmu/qwen2_5vl-7b-lora-sft-Scene30k_traineval_426steps_merged
|
||||
ayoubkirouane/whisper-small-ar
|
||||
180
model_ids/Kunlunxin_p-800_2026-09-24.txt
Normal file
180
model_ids/Kunlunxin_p-800_2026-09-24.txt
Normal file
@@ -0,0 +1,180 @@
|
||||
glins7/cashgo-role_classification
|
||||
futuredatascience/from-classifier-v1
|
||||
kowshik/upsc-classification-model-v1
|
||||
YouLiXiya/tinyllava-v1.0-1.1b-hf
|
||||
javiervela/sentence-transformers_distiluse-base-multilingual-cased-v2_50-50_all-v2_sequence_oaei_final
|
||||
Vishwas/intent_classification
|
||||
airnicco8/xlm-roberta-en-it-de
|
||||
tubyneto/wandss-bert
|
||||
nategro/nps-mpnet-lds
|
||||
mrm8488/setfit-mpnet-base-v2-finetuned-spam-detection
|
||||
kornwtp/ConGen-RoBERTa-base
|
||||
kornwtp/ConGen-TinyBERT-L6
|
||||
kornwtp/ConGen-BERT-Small
|
||||
kornwtp/ConGen-TinyBERT-L4
|
||||
kornwtp/ConGen-BERT-Tiny
|
||||
TingChenChang/hpv-multi-qa-mpnet-zh
|
||||
Charul/my-dummy-model-1
|
||||
TingChenChang/cMedQA2-multi-qa-mpnet-zh
|
||||
dvilasuero/my-test-setfit
|
||||
dvilasuero/setfit-mini-imdb
|
||||
mrm8488/setfit-mpnet-base-v2-finetuned-sentEval-CR
|
||||
bongsoo/moco-sentencedistilbertV2.1
|
||||
jamescalam/mpnet-nli-sts
|
||||
TingChenChang/hpvqa-lcqmc-ocnli-cnsd-multi-MiniLM-v2
|
||||
TingChenChang/lcqmc-ocnli-cnsd-multi-MiniLM-v2
|
||||
teven/cross_all-mpnet-base-v2_finetuned_WebNLG2020_data_coverage
|
||||
valhalla/distilbart-mnli-12-9
|
||||
teven/cross_all-mpnet-base-v2_finetuned_WebNLG2020_correctness
|
||||
jamescalam/mpnet-qa
|
||||
jamescalam/deberta-v3-base-qa
|
||||
firqaaa/indo-sentence-bert-base
|
||||
bongsoo/moco-sentencebertV2.0
|
||||
smartmind/roberta-ko-small-tsdae
|
||||
aiknowyou/all-mpnet-base-questions-clustering-en
|
||||
lewtun/dummy-setfit-model
|
||||
TingChenChang/qqp-nli-training-paraphrase-multilingual-MiniLM-L12-v2
|
||||
bongsoo/moco-sentencedistilbertV2.0
|
||||
edumunozsala/bertin-sts-cc-news-es
|
||||
smartmind/ko-sbert-augSTS-maxlength512
|
||||
spacemanidol/esci-es-mpnet-crossencoder
|
||||
spacemanidol/esci-mpnet-crossencoder
|
||||
embedding-data/distilroberta-base-sentence-transformer
|
||||
sdadas/st-polish-paraphrase-from-mpnet
|
||||
sorayutmild/simcse-model-wangchanberta-finetuned-sanook-news
|
||||
aiknowyou/aiky-sentence-bertino
|
||||
NimaBoscarino/STPushToHub-test
|
||||
alfaneo/bertimbaulaw-base-portuguese-sts
|
||||
WalidLak/Testmodel
|
||||
shafin/distilbert-similarity-b32-3
|
||||
guidecare/all-mpnet-base-v2-feature-extraction
|
||||
income/bpr-gpl-climate-fever-base-msmarco-distilbert-tas-b
|
||||
income/bpr-gpl-hotpotqa-base-msmarco-distilbert-tas-b
|
||||
income/bpr-gpl-nfcorpus-base-msmarco-distilbert-tas-b
|
||||
income/bpr-gpl-scifact-base-msmarco-distilbert-tas-b
|
||||
income/bpr-gpl-webis-touche2020-base-msmarco-distilbert-tas-b
|
||||
ITESM/sentece-embeddings-BETO
|
||||
espejelomar/sentece-embeddings-BETO
|
||||
ceggian/sbert_pt_reddit_mnr_128
|
||||
ceggian/sbert_pt_reddit_softmax_512
|
||||
GPL/bioasq-msmarco-distilbert-gpl
|
||||
GPL/nfcorpus-tsdae-msmarco-distilbert-gpl
|
||||
GPL/dbpedia-entity-tsdae-msmarco-distilbert-gpl
|
||||
GPL/quora-distilbert-tas-b-gpl-self_miner
|
||||
ceggian/sbert_standard_reddit_mnr
|
||||
snunlp/KR-SBERT-V40K-klueNLI-augSTS
|
||||
GPL/trec-news-tsdae-msmarco-distilbert-gpl
|
||||
GPL/fever-tsdae-msmarco-distilbert-gpl
|
||||
GPL/dbpedia-entity-msmarco-distilbert-gpl
|
||||
mrp/SimCSE-model-WangchanBERTa-V2
|
||||
GPL/scifact-distilbert-tas-b-gpl-self_miner
|
||||
sentence-transformers/stsb-bert-large
|
||||
sentence-transformers/stsb-bert-base
|
||||
sentence-transformers/sentence-t5-large
|
||||
sentence-transformers/quora-distilbert-multilingual
|
||||
GPL/arguana-tsdae-msmarco-distilbert-gpl
|
||||
GPL/trec-covid-msmarco-distilbert-gpl
|
||||
GPL/webis-touche2020-msmarco-distilbert-gpl
|
||||
GPL/trec-news-msmarco-distilbert-gpl
|
||||
GPL/nq-msmarco-distilbert-gpl
|
||||
GPL/climate-fever-msmarco-distilbert-gpl
|
||||
GPL/newsqa-msmarco-distilbert-gpl
|
||||
ddobokki/unsup-simcse-klue-roberta-small
|
||||
GPL/arguana-msmarco-distilbert-gpl
|
||||
sentence-transformers/use-cmlm-multilingual
|
||||
bespin-global/klue-sroberta-base-continue-learning-by-mnr
|
||||
somosnlp-hackathon-2022/paraphrase-spanish-distilroberta
|
||||
somosnlp-hackathon-2022/bertin-roberta-base-finetuning-esnli
|
||||
sentence-transformers/xlm-r-base-en-ko-nli-ststb
|
||||
sentence-transformers/multi-qa-mpnet-base-dot-v1
|
||||
sentence-transformers/msmarco-distilbert-base-v4
|
||||
morethankk/ThermalGuard-v1_4
|
||||
DMetaSoul/sbert-chinese-dtm-domain-v1
|
||||
moshew/paraphrase-mpnet-base-v2_SetFit_sst2
|
||||
mariolux/sherpa-onnx-whisper-tiny
|
||||
mariolux/sherpa-onnx-whisper-small
|
||||
mariolux/sherpa-onnx-telespeech-ctc-zh-2024-06-04
|
||||
whaleloops/phrase-bert
|
||||
mariolux/sherpa-onnx-fire-red-asr-large-zh_en-2025-02-16
|
||||
longvideotool/LongVT-SFT
|
||||
valurank/paraphrase-mpnet-base-v2-offensive
|
||||
symanto/sn-xlm-roberta-base-snli-mnli-anli-xnli
|
||||
sentence-transformers/xlm-r-bert-base-nli-mean-tokens
|
||||
sentence-transformers/xlm-r-100langs-bert-base-nli-stsb-mean-tokens
|
||||
sentence-transformers/xlm-r-100langs-bert-base-nli-mean-tokens
|
||||
sentence-transformers/stsb-xlm-r-multilingual
|
||||
sentence-transformers/stsb-roberta-base
|
||||
sentence-transformers/stsb-roberta-base-v2
|
||||
sentence-transformers/stsb-mpnet-base-v2
|
||||
sentence-transformers/stsb-distilroberta-base-v2
|
||||
sentence-transformers/stsb-distilbert-base
|
||||
sentence-transformers/sentence-t5-xxl
|
||||
sentence-transformers/roberta-large-nli-stsb-mean-tokens
|
||||
sentence-transformers/roberta-large-nli-mean-tokens
|
||||
sentence-transformers/roberta-base-nli-stsb-mean-tokens
|
||||
sentence-transformers/roberta-base-nli-mean-tokens
|
||||
sentence-transformers/quora-distilbert-base
|
||||
sentence-transformers/paraphrase-xlm-r-multilingual-v1
|
||||
sentence-transformers/paraphrase-mpnet-base-v2
|
||||
sentence-transformers/paraphrase-distilroberta-base-v1
|
||||
sentence-transformers/paraphrase-albert-small-v2
|
||||
sentence-transformers/paraphrase-MiniLM-L3-v2
|
||||
sentence-transformers/paraphrase-MiniLM-L12-v2
|
||||
sentence-transformers/nli-roberta-large
|
||||
sentence-transformers/nli-roberta-base
|
||||
sentence-transformers/nli-roberta-base-v2
|
||||
sentence-transformers/nli-mpnet-base-v2
|
||||
sentence-transformers/nli-distilroberta-base-v2
|
||||
iic/speech_conformer_asr_nat-zh-cn-16k-aishell1-vocab4234-pytorch
|
||||
iic/speech_UniASR_asr_2pass-zh-cn-16k-common-vocab8358-tensorflow1-online
|
||||
iic/speech_UniASR_asr_2pass-ru-16k-common-vocab1664-tensorflow1-online
|
||||
iic/speech_UniASR_asr_2pass-id-16k-common-vocab1067-tensorflow1-online
|
||||
iic/speech_UniASR_asr_2pass-he-16k-common-vocab1085-pytorch
|
||||
iic/speech_UniASR_asr_2pass-en-16k-common-vocab1080-tensorflow1-online
|
||||
iic/speech_UniASR_asr_2pass-cantonese-CHS-16k-common-vocab1468-tensorflow1-online
|
||||
sentence-transformers/nli-distilbert-base
|
||||
sentence-transformers/nli-bert-large
|
||||
sentence-transformers/multi-qa-mpnet-base-cos-v1
|
||||
sentence-transformers/gtr-t5-xxl
|
||||
sentence-transformers/gtr-t5-xl
|
||||
dengcunqin/speech_seaco_paraformer_large_asr_nat-zh-cantonese-en-16k-common-vocab11666-pytorch
|
||||
Mozilla/llava-v1.5-7b-llamafile
|
||||
sentence-transformers/multi-qa-MiniLM-L6-dot-v1
|
||||
Deeps03/qwen2-1.5b-log-classifier
|
||||
sentence-transformers/msmarco-distilbert-cos-v5
|
||||
sentence-transformers/msmarco-distilbert-base-v2
|
||||
sentence-transformers/msmarco-distilbert-base-dot-prod-v3
|
||||
sentence-transformers/msmarco-bert-base-dot-v5
|
||||
sentence-transformers/msmarco-MiniLM-L6-v3
|
||||
sentence-transformers/msmarco-MiniLM-L12-v3
|
||||
sentence-transformers/gtr-t5-large
|
||||
q2792046875/internVL1B
|
||||
muse/openai-clip-vit-large-patch14
|
||||
sentence-transformers/gtr-t5-base
|
||||
sentence-transformers/facebook-dpr-question_encoder-single-nq-base
|
||||
sentence-transformers/facebook-dpr-question_encoder-multiset-base
|
||||
sentence-transformers/distilbert-base-nli-stsb-quora-ranking
|
||||
Vchitect/ShotVL-3B
|
||||
Bingdo/dcug_pdf_mixtral_nemo_base_12b
|
||||
unsloth/gemma-3-4b-it
|
||||
unsloth/gemma-3-12b-it
|
||||
reedmayhew/gemma3-12B-claude-3.7-sonnet-reasoning-distilled
|
||||
starVLA/Qwen3-VL-4B-Instruct-Action
|
||||
mistralai/Pixtral-12B-2409
|
||||
mlfoundations-cua-dev/qwen2_5vl_7b_easyr1_10k_hard_qwen7b_easy_gta17b_or_segui3b-4MP
|
||||
mlfoundations-cua-dev/qwen2_5vl_7b_easyr1_10k_hard_segui3b_easy_gta1-4MP
|
||||
DaDing777/qwen2.5-VL-3B-atm-finetune-cot-full
|
||||
mlfoundations-cua-dev/qwen2_5vl_3b_sft_idm_how_to_onannel_agent_sft_data_local_bs_4_epochs_3
|
||||
osanseviero/clip-st
|
||||
HuggingFaceTB/SmolLM2-ablation-ultrachat-v2
|
||||
new5558/simcse-model-wangchanberta-base-att-spm-uncased
|
||||
navteca/multi-qa-mpnet-base-cos-v1
|
||||
navteca/all-mpnet-base-v2
|
||||
NaClNeZn/Qwen3-1.7B-QLoRA-Shizuku-v1
|
||||
waltonfuture/qwen2.5vl-3b-sampled_5000_qwen2.5vl32b
|
||||
MBZUAI/Qwen-2.5-VL-Instruct-3B-Pointwise-DFJ
|
||||
waltonfuture/qwen2.5vl-3b-32b-longest-5153
|
||||
mlfoundations-cua-dev/qwen2_5vl_3b_sft_unified_idm_data_with_new_idm_data_2_frames_local_bs_1
|
||||
ocordeiro/w2v-bert-2.0-portuguese-colab-CV16.0
|
||||
whitefox123/w2v-bert-2.0-arabic-4
|
||||
unsloth/orpheus-3b-0.1-ft
|
||||
40
model_ids/MetaX_c-500_2026-09-24.txt
Normal file
40
model_ids/MetaX_c-500_2026-09-24.txt
Normal file
@@ -0,0 +1,40 @@
|
||||
rewfueranro/Mechanical_lora
|
||||
PaperCloud/zju19_minguo_style_lora
|
||||
wangzai/autumn_bg_style_lora
|
||||
kaividlabs/qwen3-4b-awq
|
||||
zerofata/MS3.2-PaintedFantasy-v3-24B
|
||||
AI-ModelScope/Qwen2vl-Flux
|
||||
NastasiaM/mbert-loraxs-qa-vanilla
|
||||
muse/flux1-redux-dev
|
||||
muse/flux1-canny-dev-lora
|
||||
iic/multi-modal_chinese_stable_diffusion_v1.0
|
||||
iic/cv_diffusion_text-to-image-synthesis_tiny
|
||||
iic/cv_cartoon_stable_diffusion_illustration
|
||||
amd/stable-diffusion-1.5_io32_amdgpu
|
||||
MusePublic/89_lora_SD_XL
|
||||
MAILAND/loco-flux-2.5
|
||||
EnlZhao/deer_lora
|
||||
AI-ModelScope/t2iadapter_zoedepth_sd15v1
|
||||
AI-ModelScope/t2iadapter_sketch_sd15v2
|
||||
AI-ModelScope/t2iadapter_seg_sd14v1
|
||||
AI-ModelScope/t2iadapter_depth_sd14v1
|
||||
AI-ModelScope/t2iadapter_canny_sd15v2
|
||||
AI-ModelScope/t2iadapter_canny_sd14v1
|
||||
AI-ModelScope/t2i-adapter-sketch-sdxl-1.0
|
||||
AI-ModelScope/t2i-adapter-openpose-sdxl-1.0
|
||||
AI-ModelScope/t2i-adapter-lineart-sdxl-1.0
|
||||
AI-ModelScope/t2i-adapter-depth-midas-sdxl-1.0
|
||||
AI-ModelScope/t2i-adapter-canny-sdxl-1.0
|
||||
AI-ModelScope/sdxl-vae-fp16-fix
|
||||
AI-ModelScope/controlnet-depth-sdxl-1.0-small
|
||||
AI-ModelScope/controlnet-depth-sdxl-1.0-mid
|
||||
AI-ModelScope/controlnet-canny-sdxl-1.0-small
|
||||
stabilityai/stable-diffusion-3-medium_amdgpu
|
||||
stabilityai/stable-diffusion-2-1-base
|
||||
AI-ModelScope/t2iadapter_keypose_sd14v1
|
||||
AI-ModelScope/controlnet-union-sdxl-1.0-promax
|
||||
ibm-granite/granite-4.1-30b
|
||||
waltonfuture/qwen2.5vl-3b-32b-longest-5153
|
||||
jyyyyy67/Llama3.1-8B_weak-minded_Bar_LoRA
|
||||
AI-ModelScope/controlnet-canny-sdxl-1.0
|
||||
cvis-tmu/qwen2_5vl-7b-lora-sft-Scene30k_traineval_426steps_merged
|
||||
Reference in New Issue
Block a user