8 Commits

Author SHA1 Message Date
zhouyuanxi
2d02030d50 submit round-26 filter results: MetaX_c-500(5)/Kunlunxin_p-800(1)/hygon_k100-ai(1)/Cambricon_mlu-370-x8(1)/Biren_166m(3), 11 models total
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-09-16 13:38:42 +08:00
zhouyuanxi
1c29242290 submit round-25 filter results: MetaX_c-500(8)/Kunlunxin_p-800(19)/hygon_k100-ai(40)/Cambricon_mlu-370-x8(16)/Biren_166m(1), 84 models total
Restores hygon_k100-ai to GPU_JOBS; its list was emptied in v1.0.31 for the
zhoushasha resubmission round.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-09-15 18:13:40 +08:00
zhouyuanxi
94b72eadf3 resubmit via mechanism B the 157 models that failed on zhoushasha with "please download the model first"
MetaX_c-500(61) / Kunlunxin_p-800(1) / Cambricon_mlu-370-x8(1) / Biren_166m(94).
Mechanism A requires models to be pre-downloaded to platform storage; this repo's
mechanism B passes a HuggingFace modelAddress that the platform fetches itself.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-09-15 17:32:16 +08:00
zhouyuanxi
5a100f2b20 submit round-23 filter results: MetaX_c-500(8)/Kunlunxin_p-800(31)/hygon_k100-ai(75)/Cambricon_mlu-370-x8(32)/Biren_166m(2), 148 models total (deduplicated) 2026-09-10 13:52:19 +08:00
zhouyuanxi
25163bb7ad submit round-22 filter results: MetaX_c-500(36)/Kunlunxin_p-800(136)/hygon_k100-ai(351)/Cambricon_mlu-370-x8(161)/Biren_166m(43), 727 models total 2026-09-08 16:03:50 +08:00
zhouyuanxi
1a76d6eeaf 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 2026-09-04 16:42:42 +08:00
zhouyuanxi
51dcb02acc submit round-20 filter results: MetaX_c-500(100)/Kunlunxin_p-800(35)/hygon_k100-ai(81)/Cambricon_mlu-370-x8(43)/Biren_166m(94), 353 models total (deduplicated) 2026-09-02 16:47:09 +08:00
zhouyuanxi
41b0329dd1 submit round-19 filter results: MetaX_c-500(20)/Kunlunxin_p-800(16)/hygon_k100-ai(35)/Cambricon_mlu-370-x8(32)/Biren_166m(6), 109 models total 2026-09-01 15:21:08 +08:00

55
main.py
View File

@@ -58,52 +58,29 @@ 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",
"AI-ModelScope/stable-diffusion-2-1-base",
"AI-ModelScope/t2iadapter_color_sd14v1",
"fpadovani/dan-latn-10mb-after-ppt-shuff-dyck-10mb-ckpt500_seed3407",
"FutureWater/FST-ET1-14B",
"okwinds/Rombos-LLM-V2.6-Qwen-14b",
]
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",
"fpadovani/dan-latn-10mb-after-ppt-shuff-dyck-10mb-ckpt500_seed3407",
]
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",
"vinayp27/smollm3-medical",
"FutureWater/FST-ET1-14B",
"okwinds/Rombos-LLM-V2.6-Qwen-14b",
]
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",
"fpadovani/dan-latn-10mb-after-ppt-shuff-dyck-10mb-ckpt500_seed3407",
]
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",
"fpadovani/dan-latn-10mb-after-ppt-shuff-dyck-10mb-ckpt500_seed3407",
]
MTHREADS_MODELS = [
@@ -673,11 +650,13 @@ 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
# 本轮提交第二十六轮过滤结果MetaX_c-500(5) / Kunlunxin_p-800(1) / hygon_k100-ai(1) /
# Cambricon_mlu-370-x8(1) / Biren_166m(3),共11个;沿用多账号 fallback 轮转
# 产出为历轮最低候选池与上轮基本相同而上轮筛出的84个已在 v1.0.32 全部提交成功并
# 产生验证记录被排除;需灌入这些卡未跑过的新模型才会有新产出。
# 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-x1v1.0.13已完成)
# Sunrise_pt-200-x1v1.0.13已完成)/
# 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)
GPU_JOBS: List[Tuple[str, List[str]]] = [
("MetaX_c-500", METAX_MODELS),
("Kunlunxin_p-800", KUNLUNXIN_MODELS),