submit round-21 filter results: MetaX_c-500(15)/Kunlunxin_p-800(11)/hygon_k100-ai(49)/Cambricon_mlu-370-x8(22)/Biren_166m(14), 111 models total

main.py

@@ -58,52 +58,129 @@ ACCOUNTS: List[Tuple[str, str, str]] = [
 #  各 GPU 的模型列表（来自 filter_verified_models 脚本的筛选结果）
 # ══════════════════════════════════════════════════════════
 METAX_MODELS = [
-    "AI-ModelScope/ip-composition-adapter",
+    "m-a-p/OpenLLaMA-Reproduce-754.97B",
+    "andquant/fw-220M",
+    "Eurdem/megatron_1.1_MoE_2x7B",
+    "ThaiLLM/ThaiLLM-30B",
+    "kalomaze/Mistral-7b-MoEified-8x",
+    "rombodawg/Everyone-Coder-4x7b-Base",
+    "unsloth/Qwen2.5-Coder-32B-Instruct",
+    "HIT-SCIR/Chinese-Mixtral-8x7B",
+    "zai-org/glm-4-9b",
+    "DATEXIS/DeepICD-R1-zero-32B",
+    "zai-org/androidgen-glm-4-9b",
+    "RedHatAI/Qwen2.5-14B-Instruct-quantized.w8a8",
+    "jaydenmao/qwen3-32b-toolace-function-calling",
+    "muthugsubramanian/DocWain-14B-v2",
+    "simple1234/kanana-2-30b-a3b-thinking-2601",
 ]
 
 KUNLUNXIN_MODELS = [
-    "futuredatascience/action-classifier-v0",
-    "futuredatascience/to-classifier-v0",
-    "Wheatley961/Raw_2_no_3_Test_2_new.model",
-    "Wheatley961/Raw_2_no_2_Test_2_new.model",
-    "Wheatley961/Raw_2_no_0_Test_2_new.model",
-    "Wheatley961/Raw_1_no_3_Test_2_new.model",
-    "Wheatley961/Raw_1_no_2_Test_2_new.model",
-    "Wheatley961/Raw_1_no_1_Test_2_new.model",
+    "Ivydata/whisper-small-japanese",
+    "voidful/tts-qwen2.5-math",
+    "unsloth/Qwen2.5-VL-7B-Instruct",
+    "unsloth/Qwen3-VL-2B-Instruct",
+    "unsloth/Qwen2.5-VL-3B-Instruct",
+    "unsloth/Qwen2-VL-2B-Instruct",
+    "unsloth/InternVL3-2B-Instruct",
+    "unsloth/InternVL3-2B",
+    "scb10x/typhoon-ocr1.5-2b",
+    "Wheatley961/Raw_3_no_3_Test_2_new.model",
+    "simple1234/kanana-2-30b-a3b-thinking-2601",
 ]
 
 BIREN_MODELS = [
-    "utter-project/EuroMoE-2.6B-A0.6B-Instruct-2512",
-    "pei39/iol-qwen2.5-14b-sft-awq",
-    "hhhar/Linguist_should_be_smart_2",
-    "oopere/SmolLM2-1.7B-ClinicalNER",
-    "excepto64/lox_SmolLM2-360M_hhrlhf_r0_1e",
-    "Maybe1407/harry_phi_to_unlearn",
+    "Eurdem/megatron_1.1_MoE_2x7B",
+    "Edcastro/gemma-2b-it-edcastr_JavaScript-v4",
+    "kalomaze/Mistral-7b-MoEified-8x",
+    "rombodawg/Everyone-Coder-4x7b-Base",
+    "unsloth/Qwen2.5-Coder-32B-Instruct",
+    "adamo1139/Yi-34B-200K-AEZAKMI-RAW-1701",
+    "HIT-SCIR/Chinese-Mixtral-8x7B",
+    "dphn/dolphin-2.9.1-mixtral-1x22b",
+    "anakin87/gemma-2-9b-neogenesis-ita",
+    "macadeliccc/laser-dolphin-mixtral-2x7b-dpo",
+    "yufeng1/Olmo3-7B-Think-rust-sdft-e2-lr5e5-b64-a005",
+    "DATEXIS/DeepICD-R1-zero-32B",
+    "jaydenmao/qwen3-32b-toolace-function-calling",
+    "simple1234/kanana-2-30b-a3b-thinking-2601",
 ]
 
 CAMBRICON_MODELS = [
-    "futuredatascience/action-classifier-v0",
-    "futuredatascience/to-classifier-v0",
-    "Wheatley961/Raw_2_no_3_Test_2_new.model",
-    "Wheatley961/Raw_2_no_1_Test_2_new.model",
-    "Wheatley961/Raw_2_no_0_Test_2_new.model",
-    "Wheatley961/Raw_1_no_3_Test_2_new.model",
-    "Wheatley961/Raw_1_no_2_Test_2_new.model",
-    "Wheatley961/Raw_1_no_1_Test_2_new.model",
+    "Ivydata/whisper-small-japanese",
+    "JacobLinCool/whisper-large-v3-turbo-verbatim-1",
+    "andquant/fw-220M",
+    "Eren-Senoglu/llava-med-v1.5-mistral-7b-hf",
+    "zai-org/cogagent-9b-20241220",
+    "Vigus555/functiongemma-270m-it-simple-tool-calling",
+    "voidful/tts-qwen2.5-math",
+    "unsloth/llava-1.5-7b-hf",
+    "RedHatAI/Llama-2-7b-chat-quantized.w8a8",
+    "yufeng1/Olmo3-7B-Think-rust-sdft-e2-lr5e5-b64-a005",
+    "dare43321/spanish-tts-model",
+    "unsloth/Qwen2.5-VL-7B-Instruct",
+    "unsloth/Qwen3-VL-2B-Instruct",
+    "unsloth/Qwen2.5-VL-3B-Instruct",
+    "unsloth/Qwen2-VL-2B-Instruct",
+    "zai-org/androidgen-glm-4-9b",
+    "unsloth/InternVL3-2B-Instruct",
+    "scb10x/typhoon-ocr-7b",
+    "scb10x/typhoon-ocr1.5-2b",
+    "muthugsubramanian/DocWain-14B-v2",
+    "Wheatley961/Raw_3_no_3_Test_2_new.model",
+    "simple1234/kanana-2-30b-a3b-thinking-2601",
 ]
 
 HYGON_MODELS = [
-    "saidthefox/systema-minion-0.6b-v4",
-    "VehaanS/hackathon-250m-precise-edge",
-    "futuredatascience/action-classifier-v0",
-    "futuredatascience/to-classifier-v0",
-    "Wheatley961/Raw_2_no_3_Test_2_new.model",
-    "Wheatley961/Raw_2_no_2_Test_2_new.model",
-    "Wheatley961/Raw_2_no_1_Test_2_new.model",
-    "Wheatley961/Raw_2_no_0_Test_2_new.model",
-    "Wheatley961/Raw_1_no_3_Test_2_new.model",
-    "Wheatley961/Raw_1_no_2_Test_2_new.model",
-    "Wheatley961/Raw_1_no_1_Test_2_new.model",
+    "Ivydata/whisper-small-japanese",
+    "JacobLinCool/whisper-large-v3-turbo-verbatim-1",
+    "ombd/llama32-1b-eotx",
+    "HuggingFaceTB/SmolVLM-Base",
+    "andquant/fw-220M",
+    "CraftJarvis/JarvisVLA-Qwen2-VL-7B",
+    "Eren-Senoglu/llava-med-v1.5-mistral-7b-hf",
+    "CodeGoat24/UnifiedReward-2.0-qwen3vl-8b",
+    "Cornebidouil/moonshine-tiny-fr",
+    "waddie/mini-1.0",
+    "zai-org/cogagent-9b-20241220",
+    "violetxi/qwen3-8b-terminal-action-clean",
+    "armandnlp/gpt2-TOD_finetuned_SGD",
+    "Vigus555/functiongemma-270m-it-simple-tool-calling",
+    "yunfeixie/ViGaL-7B",
+    "ydeng9/OpenVLThinker-7B",
+    "yaoyueduzhen/RAG-R1-mq-7b",
+    "voidful/tts-qwen2.5-math",
+    "imthanhlv/vigpt2medium",
+    "unsloth/llava-1.5-7b-hf",
+    "xlangai/Jedi-7B-1080p",
+    "intfloat/multilingual-e5-base",
+    "yufeng1/Olmo3-7B-Think-rust-sdft-e2-lr5e5-b64-a005",
+    "dare43321/spanish-tts-model",
+    "unsloth/Qwen2.5-VL-7B-Instruct",
+    "unsloth/Qwen3-VL-2B-Instruct",
+    "unsloth/Qwen2.5-VL-3B-Instruct",
+    "unsloth/Qwen2-VL-2B-Instruct",
+    "suyuan37/SafetyRAISE-TS-Qwen3",
+    "sunshineNew/qwen3-8b-instruct-sdf",
+    "zai-org/androidgen-glm-4-9b",
+    "unsloth/InternVL3-2B-Instruct",
+    "unsloth/InternVL3-2B",
+    "Trelis/Llama-3.2-1B-Instruct_SFT_1",
+    "scb10x/typhoon-ocr1.5-2b",
+    "artindnr/tea",
+    "eivintobias/heartly-qwen-code",
+    "exemuel/Legal-AI-Chatbot-SFT",
+    "muthugsubramanian/DocWain-14B-v2",
+    "yufeng1/Olmo3-7B-Think-rust-sdft-e2-lr1e5-b64-a001",
+    "launch/MET-D-Qwen3-4B",
+    "MCG-NJU/TimeLens2-4B",
+    "IsaacRodgz/setfit-stance-prediction-spanish-news-headlines",
+    "krlvi/sentence-t5-base-nlpl-code_search_net",
+    "Watwat100/smol16",
+    "Watwat100/smol8",
+    "danielsaggau/scotus",
+    "Wheatley961/Raw_3_no_3_Test_2_new.model",
+    "simple1234/kanana-2-30b-a3b-thinking-2601",
 ]
 
 MTHREADS_MODELS = [
@@ -673,11 +750,12 @@ PPU_MODELS = [
     "espressovi/BODHI-qwen-3-maze-8b-distil",
 ]
 
-# 本轮提交第十七轮过滤结果：MetaX_c-500(1) / Kunlunxin_p-800(8) / hygon_k100-ai(11) /
-# Cambricon_mlu-370-x8(8) / Biren_166m(6)，共34个；沿用多账号 fallback 轮转；
-# 本轮首次把 Biren_166m 列入 GPU_JOBS；
+# 本轮提交第二十一轮过滤结果：MetaX_c-500(15) / Kunlunxin_p-800(11) / hygon_k100-ai(49) /
+# Cambricon_mlu-370-x8(22) / Biren_166m(14)，共111个；沿用多账号 fallback 轮转；
 # 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）
+# Iluvatar_bi-150 本轮筛出3个，但本仓库是 framework=vllm，而现有 iluvatar 镜像
+# 都是 llamacpp/GGUF 的，缺 vllm 版镜像地址，暂不提交，待补 config 分支后再交
 GPU_JOBS: List[Tuple[str, List[str]]] = [
     ("MetaX_c-500",          METAX_MODELS),
     ("Kunlunxin_p-800",      KUNLUNXIN_MODELS),