Compare commits
1 Commits
| Author | SHA1 | Date | |
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c01e7e70df |
215
main.py
215
main.py
@@ -25,8 +25,8 @@ BASE_URL = os.environ.get("BASE_URL", "https://modelhub.org.cn")
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ADD_TASK_ENDPOINT = "/api/adapt/task/add"
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# jiajing 账号的 xc-Token（该接口使用 xc-Token 认证，无需登录）
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USER_ACCOUNT = "fanyi"
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XC_TOKEN = "f2d501c9ae6543a589cd6cb789108c41"
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USER_ACCOUNT = "l112233"
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XC_TOKEN = "40cb6910dc9a442a816298a228da65ac"
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GPU_TYPE = "MetaX_c-500"
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TASK_TYPE = "text-generation"
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@@ -152,110 +152,115 @@ ALL_MODEL_IDS = [
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#### 这段提交账号 fanyi, 注意只提交到 Metax 的卡上，注意还要等待 adminProxy 下载
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# "Neelectric/Llama-3.1-8B-Instruct_SDFT_mathv00.05",
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# "mremila/Llama-3.1-8B-knowledge",
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# "llm-jp/optimal-sparsity-math-d2048-E64-k16-26.4B-A7.1B",
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# "mremila/Llama-3.1-8B-math",
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# "usersina/math-llm-sit-7b",
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# "jordanpainter/dialect-qwen-gspo-all",
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# "llm-jp/optimal-sparsity-code-d512-E16-k16-520M-A520M",
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# "EleutherAI/gdiff_end_baseline_interleaved_1_in_1_annealing_replay_retain_weight_20",
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# "Ujjwal-Tyagi/EXAONE-4.0-32B",
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# "DevQuasar/coma-7B-v0.1",
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# "inceptionai/jais-family-590m",
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# "anicka/karma-electric-apertus-8b",
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# "llm-jp/optimal-sparsity-code-d1024-E8-k2-1.1B-A470M",
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# "AI-ModelScope/FunReason-MT",
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# "meditsolutions/MSH-Lite-7B-v1-Bielik-v2.3-Instruct-Llama-Prune",
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# "miromind-ai/MiroThinker-14B-DPO-v0.1",
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# "OpenPipe/codenames-14b-sft",
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# "OpenPipe/codenames-14b-wip",
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# "Ujjwal-Tyagi/Hermes-4.3-36B",
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# "nv-community/OpenMath-Nemotron-14B-Kaggle",
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# "VladShash/olmo-3-7b-lean-prover-dpo",
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# "Neelectric/Llama-3.1-8B-Instruct_SDFT_mathv00.07",
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# "ByteDance-Seed/Seed-Coder-8B-Instruct",
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# "ByteDance-Seed/BFS-Prover-V1-7B",
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# "ishikaa/acquisition_metamath_qwen3b_confidence_combined_500_norepeat",
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# "Rustamshry/Qwen3-8B-gpt-5.4-Reasoning-Distilled",
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# "Neelectric/Llama-3.1-8B-Instruct_SDFT_mathv00.02",
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# "ishikaa/acquisition_metamath_qwen3b_confidence_combined_500_only",
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# "Jeesup/unlearn",
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# "cloudyu/19B_TRUTH_DPO",
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# "MarisUK/master",
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# "kiki-ailab/Qwen2.5-0.5B-Instruct-KAI",
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# "psh3333/qwen25_1_5b_korean_unsloth",
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# "Vyvo/VyvoTTS-LFM2-Optimus-Prime",
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# "allenai/Flex-math-2x7B-1T",
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# "ResplendentAI/Asherah_7B",
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# "RealSafe/RealSafe-R1-1.5B",
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# "tally0818/GRPO_8_eps20",
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# "Kazuki1450/Olmo-3-1025-7B_dsum_3_6_tok_Certainly_1p0_0p0_1p0_grpo_sapo_42_rule",
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# "abacusai/bigstral-12b-v0.2-32k",
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# "Hyeongwon/P2-split2_prob_ascii_normalized_Qwen3-4B-Base_0330-01",
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# "alfredplpl/ja-aozora-wikipedia-gemmba-2b",
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# "jhu-clsp/rank1-14b-awq",
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# "alfredplpl/suzume-poc",
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# "mncai/Mistral-7B-SlimOrca-cot-1k",
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# "EleutherAI/pythia-410m-sciq-first-ft",
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# "damerajee/Gaja-vv1",
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# "jefferylovely/Merkaba-Maven-0.1",
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# "JoaoReiz/Llama3.2_1B_leNER",
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# "Weyaxi/MetaMath-loyal-piano-m7-cdpo-Linear",
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# "maple77/internlm2_5-7b-chat",
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# "theprint/mistral-7b-cthulhu",
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# "mncai/Polyglot5.8B-ShareGPT-Wiki-News_epoch4",
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# "hishab/titulm-llama-3.2-3b-v2.0-Instruct-v0.1",
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# "rubraAI/Gemma-1.1-2b-Instruct",
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# "mncai/Foundation_Law_Administration_epoch2",
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# "JinbiaoZhu/finetuned-Qwen1.5-0.5B-eli5-askscience-TextGeneration",
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# "mncai/llama2-13b-dpo-v4",
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# "lunahr/Phi-4-mini-instruct-abliterated",
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# "chargoddard/mixtralmerge-8x7B-rebalanced-test",
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# "heeloo0212/game_mode",
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# "AI-ModelScope/yayi-13b-llama2",
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# "ZhipuAI/glm-edge-4b-chat",
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# "Hyeongwon/PH_prob_sft_FC_swap_labewise_data_oversampling_bf16_lr0.00002_context_12k-Qwen3-8B-Base",
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# "zhantz/Qwen3-0.6B-cuda",
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# "xitaosun/DeepSeek-R1-Distill-Qwen-7B-QMind",
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# "shiyilin123/qwen3-4b-medical-finetuned",
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# "prithivMLmods/ReasonFlux-Qwen3-dpo",
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# "prithivMLmods/OpenScienceReasoning-Qwen-e10",
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# "sequelbox/Qwen3-14B-UML-Generator",
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# "openmoss/Qwen3-8B-ABC",
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# "krisfu/medical_r1_qwen3_sft",
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# "lxh123666/qwen-0.6B-cuda",
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# "liyan811104/familyNovel_deepseekR1_0528_Qwen3_8B_cp160",
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# "YOYO-AI/Qwen2.5-14B-YOYO-stock",
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# "YOYO-AI/Qwen2.5-14B-Fusion-1M",
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# "FBK-MT/Qwen3-14B-GNR-it-full",
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# "shisa-ai/ablation-34-rafathenev2.unphi45e6-shisa-v2-unphi-4-14b",
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# "shisa-ai/ablation-28-rafathenev2.tulu-shisa-v2-tulu3-8b",
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# "nanbeige/Nanbeige4-3B-Base",
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# "shisa-ai/ablation-62-dpo.notseq-ablation-60-a55.dpo.enja",
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# "HelpingAI/HelpingAI-15B",
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# "lifelinezwz/ft-ielts-speaking-assistant",
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# "maywell/TinyWand-kiqu",
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# "utter-project/EuroLLM-9B",
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# "dan-kwiat/Codestral-22B-v0.1-hf-FIM-fix-awq",
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# "mesolitica/tinyllama-1.1b-4096-fpf",
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# "llm-jp/optimal-sparsity-code-d1024-E32-k2-3.5B-A470M",
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# "miromind-ai/MiroThinker-8B-SFT-v0.2",
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# "maywell/l3-211m",
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# "llm-jp/optimal-sparsity-code-d512-E128-k2-3.3B-A170M",
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# "typhoona/sft2_internvl3",
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# "v000000/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno",
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# "unsloth/GLM-Z1-9B-0414",
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# "sh2orc/llama-3-korean-8b-awq",
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# "jsincn/phi-3-mini-128k-instruct-awq",
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# "utter-project/EuroLLM-9B-Instruct",
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# "flux-inc/Flux-Japanese-Qwen2.5-32B-Instruct-V1.0",
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# "allegrolab/hubble-8b-500b_toks-standard-hf",
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# "laion/r2egym-nl2bashseq",
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# "soob3123/amoral-gemma3-12B-v2-qat",
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# "jianfeng777/jianfeng",
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# "winglian/qwen3-14b-math",
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||||
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||||
"Neelectric/Llama-3.1-8B-Instruct_SDFT_mathv00.05",
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"mremila/Llama-3.1-8B-knowledge",
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||||
"llm-jp/optimal-sparsity-math-d2048-E64-k16-26.4B-A7.1B",
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||||
"mremila/Llama-3.1-8B-math",
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||||
"usersina/math-llm-sit-7b",
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||||
"jordanpainter/dialect-qwen-gspo-all",
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||||
"llm-jp/optimal-sparsity-code-d512-E16-k16-520M-A520M",
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||||
"EleutherAI/gdiff_end_baseline_interleaved_1_in_1_annealing_replay_retain_weight_20",
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||||
"Ujjwal-Tyagi/EXAONE-4.0-32B",
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||||
"DevQuasar/coma-7B-v0.1",
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||||
"inceptionai/jais-family-590m",
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||||
"anicka/karma-electric-apertus-8b",
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||||
"llm-jp/optimal-sparsity-code-d1024-E8-k2-1.1B-A470M",
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||||
"AI-ModelScope/FunReason-MT",
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"meditsolutions/MSH-Lite-7B-v1-Bielik-v2.3-Instruct-Llama-Prune",
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"miromind-ai/MiroThinker-14B-DPO-v0.1",
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"OpenPipe/codenames-14b-sft",
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||||
"OpenPipe/codenames-14b-wip",
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||||
"Ujjwal-Tyagi/Hermes-4.3-36B",
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"nv-community/OpenMath-Nemotron-14B-Kaggle",
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||||
"VladShash/olmo-3-7b-lean-prover-dpo",
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||||
"Neelectric/Llama-3.1-8B-Instruct_SDFT_mathv00.07",
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||||
"ByteDance-Seed/Seed-Coder-8B-Instruct",
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||||
"ByteDance-Seed/BFS-Prover-V1-7B",
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||||
"ishikaa/acquisition_metamath_qwen3b_confidence_combined_500_norepeat",
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||||
"Rustamshry/Qwen3-8B-gpt-5.4-Reasoning-Distilled",
|
||||
"Neelectric/Llama-3.1-8B-Instruct_SDFT_mathv00.02",
|
||||
"ishikaa/acquisition_metamath_qwen3b_confidence_combined_500_only",
|
||||
"Jeesup/unlearn",
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||||
"cloudyu/19B_TRUTH_DPO",
|
||||
"MarisUK/master",
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||||
"kiki-ailab/Qwen2.5-0.5B-Instruct-KAI",
|
||||
"psh3333/qwen25_1_5b_korean_unsloth",
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||||
"Vyvo/VyvoTTS-LFM2-Optimus-Prime",
|
||||
"allenai/Flex-math-2x7B-1T",
|
||||
"ResplendentAI/Asherah_7B",
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||||
"RealSafe/RealSafe-R1-1.5B",
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||||
"tally0818/GRPO_8_eps20",
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||||
"Kazuki1450/Olmo-3-1025-7B_dsum_3_6_tok_Certainly_1p0_0p0_1p0_grpo_sapo_42_rule",
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||||
"abacusai/bigstral-12b-v0.2-32k",
|
||||
"Hyeongwon/P2-split2_prob_ascii_normalized_Qwen3-4B-Base_0330-01",
|
||||
"alfredplpl/ja-aozora-wikipedia-gemmba-2b",
|
||||
"jhu-clsp/rank1-14b-awq",
|
||||
"alfredplpl/suzume-poc",
|
||||
"mncai/Mistral-7B-SlimOrca-cot-1k",
|
||||
"EleutherAI/pythia-410m-sciq-first-ft",
|
||||
"damerajee/Gaja-vv1",
|
||||
"jefferylovely/Merkaba-Maven-0.1",
|
||||
"JoaoReiz/Llama3.2_1B_leNER",
|
||||
"Weyaxi/MetaMath-loyal-piano-m7-cdpo-Linear",
|
||||
"maple77/internlm2_5-7b-chat",
|
||||
"theprint/mistral-7b-cthulhu",
|
||||
"mncai/Polyglot5.8B-ShareGPT-Wiki-News_epoch4",
|
||||
"hishab/titulm-llama-3.2-3b-v2.0-Instruct-v0.1",
|
||||
"rubraAI/Gemma-1.1-2b-Instruct",
|
||||
"mncai/Foundation_Law_Administration_epoch2",
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||||
"JinbiaoZhu/finetuned-Qwen1.5-0.5B-eli5-askscience-TextGeneration",
|
||||
"mncai/llama2-13b-dpo-v4",
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||||
"lunahr/Phi-4-mini-instruct-abliterated",
|
||||
"chargoddard/mixtralmerge-8x7B-rebalanced-test",
|
||||
"heeloo0212/game_mode",
|
||||
"AI-ModelScope/yayi-13b-llama2",
|
||||
"ZhipuAI/glm-edge-4b-chat",
|
||||
"Hyeongwon/PH_prob_sft_FC_swap_labewise_data_oversampling_bf16_lr0.00002_context_12k-Qwen3-8B-Base",
|
||||
"zhantz/Qwen3-0.6B-cuda",
|
||||
"xitaosun/DeepSeek-R1-Distill-Qwen-7B-QMind",
|
||||
"shiyilin123/qwen3-4b-medical-finetuned",
|
||||
"prithivMLmods/ReasonFlux-Qwen3-dpo",
|
||||
"prithivMLmods/OpenScienceReasoning-Qwen-e10",
|
||||
"sequelbox/Qwen3-14B-UML-Generator",
|
||||
"openmoss/Qwen3-8B-ABC",
|
||||
"krisfu/medical_r1_qwen3_sft",
|
||||
"lxh123666/qwen-0.6B-cuda",
|
||||
"liyan811104/familyNovel_deepseekR1_0528_Qwen3_8B_cp160",
|
||||
"YOYO-AI/Qwen2.5-14B-YOYO-stock",
|
||||
"YOYO-AI/Qwen2.5-14B-Fusion-1M",
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||||
"FBK-MT/Qwen3-14B-GNR-it-full",
|
||||
"shisa-ai/ablation-34-rafathenev2.unphi45e6-shisa-v2-unphi-4-14b",
|
||||
"shisa-ai/ablation-28-rafathenev2.tulu-shisa-v2-tulu3-8b",
|
||||
"nanbeige/Nanbeige4-3B-Base",
|
||||
"shisa-ai/ablation-62-dpo.notseq-ablation-60-a55.dpo.enja",
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||||
"HelpingAI/HelpingAI-15B",
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||||
"lifelinezwz/ft-ielts-speaking-assistant",
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||||
"maywell/TinyWand-kiqu",
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||||
"utter-project/EuroLLM-9B",
|
||||
"dan-kwiat/Codestral-22B-v0.1-hf-FIM-fix-awq",
|
||||
"mesolitica/tinyllama-1.1b-4096-fpf",
|
||||
"llm-jp/optimal-sparsity-code-d1024-E32-k2-3.5B-A470M",
|
||||
"miromind-ai/MiroThinker-8B-SFT-v0.2",
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||||
"maywell/l3-211m",
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||||
"llm-jp/optimal-sparsity-code-d512-E128-k2-3.3B-A170M",
|
||||
"typhoona/sft2_internvl3",
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||||
"v000000/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno",
|
||||
"unsloth/GLM-Z1-9B-0414",
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||||
"sh2orc/llama-3-korean-8b-awq",
|
||||
"jsincn/phi-3-mini-128k-instruct-awq",
|
||||
"utter-project/EuroLLM-9B-Instruct",
|
||||
"flux-inc/Flux-Japanese-Qwen2.5-32B-Instruct-V1.0",
|
||||
"allegrolab/hubble-8b-500b_toks-standard-hf",
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||||
"laion/r2egym-nl2bashseq",
|
||||
"soob3123/amoral-gemma3-12B-v2-qat",
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||||
"jianfeng777/jianfeng",
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||||
"winglian/qwen3-14b-math",
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||||
"bralynn/dt.md5.6think1.128.256.mdsteps25.think124",
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||||
"prithivMLmods/Geminorum-Wasat-14B-Instruct",
|
||||
"Tesslate/UIGEN-T2-7B",
|
||||
|
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Reference in New Issue
Block a user