submit round-33 filter results: MetaX_c-500(2)/Kunlunxin_p-800(3)/hygon_k100-ai(1)/Cambricon_mlu-370-x8(3)/Biren_166m(2), 11 models total
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
This commit is contained in:
zhouyuanxi
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main.py
100
main.py
@@ -58,95 +58,29 @@ ACCOUNTS: List[Tuple[str, str, str]] = [
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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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# ══════════════════════════════════════════════════════════
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METAX_MODELS = [
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"stabilityai/stable-diffusion-2-1",
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"metercai/SimpleSDXL2",
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"AI-ModelScope/controlnet-depth-sdxl-1.0",
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"AIDC-AI/Ovis1.6-Gemma2-27B",
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"AI-ModelScope/t2i-adapter-depth-zoe-sdxl-1.0",
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"AI-ModelScope/controlnet-canny-sdxl-1.0-mid",
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"AI-ModelScope/controlnet-zoe-depth-sdxl-1.0",
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"TeichAI/Qwen3-30B-A3B-Thinking-2507-Gemini-2.5-Flash-Distill",
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"marioparreno/text-to-emoji-finetuned",
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"hbfreed/Olmo-2-1B-Distilled",
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"licyks/flux-model",
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"DiffSynth-Studio/FLUX.1-Kontext-dev-lora-ArtAug",
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"theprint/ReWiz-Qwen-2.5-14B",
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"vanta-research/atom-27b",
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"EasierAI/Qwen-2.5-32B",
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"y22ma/Qwen3-14B-finetune",
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"YouCountry/gemma-3-27b",
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"richardyoung/uigen-x-30b-moe",
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"UbiquantAI/Fleming-R1-32B",
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"cortexso/deepseek-r1-distill-qwen-14b",
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"OpenBuddy/openbuddy-yi1.5-34b-v21.6-32k-fp16",
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"OpenSeeker/OpenSeeker-v1-30B-SFT",
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"Qwen/Qwen1.5-32B",
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"MusePublic/stable-diffusion-xl-base",
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"pei39/deepseek_r1_distill_qwen_7b_awq_rag",
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]
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KUNLUNXIN_MODELS = [
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"fpadovani/ita-latn-10mb-after-ppt-Dp-100mb-ckpt500_seed3407",
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"Qwen/Qwen3.8-27B",
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"llm-semantic-router/aegis-embed",
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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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"AI-ModelScope/granite-20b-code-instruct",
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]
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BIREN_MODELS = [
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"arvindcr4/iolai-2026-qwen25-14b-awq",
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"AIDC-AI/Ovis1.6-Gemma2-27B",
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"TeichAI/Qwen3-30B-A3B-Thinking-2507-Gemini-2.5-Flash-Distill",
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"marioparreno/text-to-emoji-finetuned",
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"hbfreed/Olmo-2-1B-Distilled",
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"Qwen/Qwen3.8-27B",
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"theprint/ReWiz-Qwen-2.5-14B",
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"vanta-research/atom-27b",
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"EasierAI/Qwen-2.5-32B",
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"yoriis/Gemma-Rand-CPT-IT-0.3",
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"YouCountry/gemma-3-27b",
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"richardyoung/uigen-x-30b-moe",
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"cortexso/gemma2",
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"5inq/Joi-Qwen3-14B",
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"LLM-Research/Phi-3-medium-128k-instruct",
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"UbiquantAI/Fleming-R1-32B",
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"cortexso/deepseek-r1-distill-qwen-14b",
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"OpenBuddy/openbuddy-yi1.5-34b-v21.6-32k-fp16",
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"AI-ModelScope/granite-20b-code-instruct-8k",
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"pei39/deepseek_r1_distill_qwen_7b_awq_rag",
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]
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CAMBRICON_MODELS = [
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"arvindcr4/iolai-2026-qwen25-14b-awq",
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"AIDC-AI/Ovis1.6-Gemma2-27B",
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"AIDC-AI/Ovis2-8B",
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"Qwen/Qwen3.8-27B",
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"llm-semantic-router/aegis-embed",
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"Lamapi/next-12b",
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"Kwai-Keye/Keye-VL-1_5-8B",
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"AI-ModelScope/granite-20b-code-instruct-8k",
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"AI-ModelScope/granite-20b-code-instruct",
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"pei39/deepseek_r1_distill_qwen_7b_awq_rag",
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]
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HYGON_MODELS = [
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"jerchenxin/qwen2.5-Math-1.5B-grpo_clip-full-step_0000020",
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"Papajams/ratiocine",
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"arvindcr4/iolai-2026-qwen25-14b-awq",
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"AIDC-AI/Ovis1.6-Gemma2-27B",
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"Qwen/Qwen3.8-27B",
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"kmseong/safety-warp-Llama-3.2-3b-phase3-per-layer",
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"flyingfishinwater/good_and_small_models",
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"kmseong/safety-warp-Llama-3.2-3b-phase3-no_rotation-per-layer2",
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"kmseong/safety-warp-Llama-3.2-3b-instruct-phase3-perlayer-metamath",
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"llm-semantic-router/aegis-embed",
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"moonshotai/Kimi-K2.5",
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"alibayram/magibu-128k-trained",
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"UsefulSensors/moonshine-tiny-vi",
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"XCurOS/XCurOS-1.2-8B-VLBF16-Instruct",
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"UsefulSensors/moonshine-tiny-ko",
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"UsefulSensors/moonshine-tiny-ar",
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"UsefulSensors/moonshine-tiny-ja",
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"UsefulSensors/moonshine-base-ko",
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"UsefulSensors/moonshine-base-ja",
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"Lamapi/next-12b",
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"Lamapi/next-4b",
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"kmseong/Llama-3.2-3B-gsm8k_ft_after-rsn-tuned-freeze_rsn_10",
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"UsefulSensors/moonshine-base-ar",
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"OX-PIXL/SpatialThinker-3B",
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"Kwai-Keye/Keye-VL-1_5-8B",
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"zai-org/glm-4v-9b",
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"pei39/deepseek_r1_distill_qwen_7b_awq_rag",
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]
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MTHREADS_MODELS = [
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@@ -716,13 +650,15 @@ PPU_MODELS = [
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"espressovi/BODHI-qwen-3-maze-8b-distil",
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]
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# 本轮提交第三十轮过滤结果：MetaX_c-500(23) / Kunlunxin_p-800(3) / hygon_k100-ai(26) /
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# Cambricon_mlu-370-x8(7) / Biren_166m(18)，共77个；沿用多账号 fallback 轮转。
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# 源 model_ids 有226个重复条目，传导到txt里5个重复，灌入时已按模型ID去重
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#（txt 共82行 → 去重后77个）。
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# 本轮提交第三十三轮过滤结果：MetaX_c-500(2) / Kunlunxin_p-800(3) / hygon_k100-ai(1) /
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# Cambricon_mlu-370-x8(3) / Biren_166m(2)，共11个；沿用多账号 fallback 轮转。
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# 产出少是筛选条件本身决定的：候选池5992个里「至少一张卡已验证」有4392个、
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# 各卡「无记录」有78~911个，但两者交集只剩1~3个——在别的卡验证成功过的模型
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# 早就被各卡都跑过了，而没被某卡跑过的基本都是验证失败/验证中/未验证。
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# 只有灌入全新模型才会有一批产出（第29轮灌33496个新模型→筛出38772个）。
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# 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）/
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# Sunrise_pt-200-x1（v1.0.13已完成）/
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# Iluvatar_bi-150（本轮筛选为0；且本仓库 framework=vllm，现有 iluvatar 镜像均为 llamacpp/GGUF，缺 vllm 版镜像）
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# Iluvatar_bi-150（本轮筛出1个，但本仓库 framework=vllm，现有 iluvatar 镜像均为 llamacpp/GGUF，缺 vllm 版镜像）
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GPU_JOBS: List[Tuple[str, List[str]]] = [
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("MetaX_c-500", METAX_MODELS),
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("Kunlunxin_p-800", KUNLUNXIN_MODELS),
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