ModelLink2/public_address_statement.md
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Merge pull request !560 from MingzhenWang/public_url
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类型 开源代码地址 文件名 公网IP地址/公网URL地址/域名/邮箱地址 用途说明
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/text_generation/beam_utils.py megatron/text_generation/beam_utils.py:9 http://www.apache.org/licenses/LICENSE-2.0 License地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/text_generation/sampling.py megatron/text_generation/sampling.py:5 https://github.com/ari-holtzman/degen/blob/master/gen.py 参考代码地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/text_generation/sampling.py megatron/text_generation/sampling.py:6 https://huggingface.co/transformers/_modules/transformers/generation_logits_process.html 参考代码地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/text_generation/sampling.py megatron/text_generation/sampling.py:33 https://github.com/ari-holtzman/degen/blob/master/gen.py 参考代码地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/theoretical_memory_usage.py megatron/theoretical_memory_usage.py:73 https://arxiv.org/pdf/2205.05198.pdf 参考论文地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/fused_kernels/compat.h megatron/fused_kernels/compat.h:4 https://github.com/NVIDIA/apex 参考代码地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/static/index.html megatron/static/index.html:86 https://cdnjs.cloudflare.com/ajax/libs/jquery/3.5.1/jquery.min.js 前端代码库地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/core/datasets/blended_megatron_dataset_config.py megatron/core/datasets/blended_megatron_dataset_config.py:66 https://docs.python.org/3/library/dataclasses.html#post-init-processing 详情地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/core/models/retro/encoder_attention.py megatron/core/models/retro/encoder_attention.py:22 https://arxiv.org/abs/2112.04426 参考论文地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/core/models/retro/decoder_attention.py megatron/core/models/retro/decoder_attention.py:27 https://arxiv.org/abs/2112.04426 参考论文地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/core/models/common/embeddings/rotary_pos_embedding.py megatron/core/models/common/embeddings/rotary_pos_embedding.py:147 https://kexue.fm/archives/8265 详情地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/core/pipeline_parallel/schedules.py megatron/core/pipeline_parallel/schedules.py:493 https://arxiv.org/pdf/2205.05198.pdf 参考论文地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/core/transformer/transformer_config.py megatron/core/transformer/transformer_config.py:87 https://arxiv.org/abs/2205.05198 参考论文地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/core/transformer/transformer_config.py megatron/core/transformer/transformer_config.py:107 https://docs.nvidia.com/deeplearning/transformer-engine/user-guide/api/common.html 参考代码地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/core/transformer/mlp.py megatron/core/transformer/mlp.py:49 https://arxiv.org/pdf/2002.05202.pdf 参考论文地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/core/transformer/transformer_config.py megatron/core/transformer/transformer_config.py:196 https://docs.python.org/3/library/dataclasses.html#post-init-processing 详情地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/core/transformer/dot_product_attention.py megatron/core/transformer/dot_product_attention.py:23 https://arxiv.org/abs/2205.05198 参考论文地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/core/pipeline_parallel/schedules.py megatron/core/pipeline_parallel/schedules.py:1122 https://arxiv.org/pdf/2205.05198.pdf 参考论文地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/core/model_parallel_config.py megatron/core/model_parallel_config.py:26 https://arxiv.org/pdf/2104.04473.pdf 参考论文地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/core/model_parallel_config.py megatron/core/model_parallel_config.py:31 https://arxiv.org/abs/2205.05198 参考论文地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/core/tensor_parallel/random.py megatron/core/tensor_parallel/random.py:4 https://github.com/pytorch/pytorch 参考代码地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/core/tensor_parallel/layers.py megatron/core/tensor_parallel/layers.py:4 https://github.com/pytorch/pytorch 参考代码地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/core/model_parallel_config.py megatron/core/model_parallel_config.py:200 https://docs.python.org/3/library/dataclasses.html#post-init-processing 详情地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/core/tensor_parallel/cross_entropy.py megatron/core/tensor_parallel/cross_entropy.py:80 https://github.com/NVIDIA/NeMo/blob/main/nemo/collections/common/losses/smoothed_cross_entropy.py 参考代码地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/core/tensor_parallel/layers.py megatron/core/tensor_parallel/layers.py:370 c47cf9bc7f/torch/_refs/init.py 参考代码地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/core/package_info.py megatron/core/package_info.py:17 nemo-toolkit@nvidia.com 源码作者邮箱地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/core/package_info.py megatron/core/package_info.py:19 https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/stable/ 详情地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/core/package_info.py megatron/core/package_info.py:21 https://github.com/NVIDIA/Megatron-LM/megatron/core 源码仓库地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/core/package_info.py megatron/core/package_info.py:22 https://github.com/NVIDIA/Megatron-LM/releases 源码仓库地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/tokenizer/bert_tokenization.py megatron/tokenizer/bert_tokenization.py:8 http://www.apache.org/licenses/LICENSE-2.0 License地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/tokenizer/gpt2_tokenization.py megatron/tokenizer/gpt2_tokenization.py:8 http://www.apache.org/licenses/LICENSE-2.0 License地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/tokenizer/gpt2_tokenization.py megatron/tokenizer/gpt2_tokenization.py:41 https://s3.amazonaws.com/models.huggingface.co/bert/gpt2-vocab.json 预训练文件地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/tokenizer/gpt2_tokenization.py megatron/tokenizer/gpt2_tokenization.py:44 https://s3.amazonaws.com/models.huggingface.co/bert/gpt2-merges.txt 预训练文件地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/utils.py megatron/utils.py:69 https://github.com/NVIDIA/apex 参考代码地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/tokenizer/bert_tokenization.py megatron/tokenizer/bert_tokenization.py:299 https://en.wikipedia.org/wiki/CJK_Unified_Ideographs_(Unicode_block) 详情地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/tokenizer/tokenizer.py megatron/tokenizer/tokenizer.py:389 c8fa217e81/nemo/collections/common/tokenizers/sentencepiece_tokenizer.py 参考代码地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/tokenizer/tokenizer.py megatron/tokenizer/tokenizer.py:415 c8fa217e81/nemo/collections/common/tokenizers/sentencepiece_tokenizer.py 参考代码地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/model/fused_layer_norm.py megatron/model/fused_layer_norm.py:4 https://github.com/NVIDIA/apex 参考代码地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/model/fused_layer_norm.py megatron/model/fused_layer_norm.py:83 https://github.com/NVIDIA/apex 参考代码地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/model/vision/esvit_swin_backbone.py megatron/model/vision/esvit_swin_backbone.py:6 chunyl@microsoft.com 源码作者邮箱地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/model/vision/esvit_swin_backbone.py megatron/model/vision/esvit_swin_backbone.py:509 https://arxiv.org/pdf/2103.14030 参考论文地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/model/vision/dino.py megatron/model/vision/dino.py:6 https://github.com/facebookresearch/dino/blob/main/main_dino.py 参考代码地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/model/vision/knn_monitor.py megatron/model/vision/knn_monitor.py:101 https://arxiv.org/abs/1805.01978 参考论文地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/model/vision/knn_monitor.py megatron/model/vision/knn_monitor.py:102 http://github.com/zhirongw/lemniscate.pytorch 参考代码地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/model/vision/knn_monitor.py megatron/model/vision/knn_monitor.py:103 https://github.com/leftthomas/SimCLR 参考代码地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/model/vision/swin_backbone.py megatron/model/vision/swin_backbone.py:474 https://arxiv.org/pdf/2103.14030 参考论文地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/model/transformer.py megatron/model/transformer.py:96 https://arxiv.org/pdf/2002.05202.pdf 参考论文地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/model/language_model.py megatron/model/language_model.py:377 https://github.com/kingoflolz/mesh-transformer-jax/ 参考代码地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/optimizer_param_scheduler.py megatron/optimizer_param_scheduler.py:81 https://openreview.net/pdf?id=BJYwwY9ll 参考论文地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/data/autoaugment.py megatron/data/autoaugment.py:29 https://github.com/DeepVoltaire/AutoAugment 参考代码地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/data/autoaugment.py megatron/data/autoaugment.py:36 https://arxiv.org/abs/1805.09501 参考论文地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/data/dataset_utils.py megatron/data/dataset_utils.py:8 http://www.apache.org/licenses/LICENSE-2.0 License地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/data/dataset_utils.py megatron/data/dataset_utils.py:18 https://github.com/google-research/albert/blob/master/create_pretraining_data.py 参考代码地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/arguments.py megatron/arguments.py:889 https://arxiv.org/abs/2205.14135 参考论文地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/data/dataset_utils.py megatron/data/dataset_utils.py:265 https://arxiv.org/pdf/1907.10529.pdf 参考论文地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/data/image_folder.py megatron/data/image_folder.py:32 https://github.com/pytorch/vision/blob/main/torchvision/datasets/folder.py 参考代码地址
开源代码引入 https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/data/image_folder.py megatron/data/image_folder.py:238 https://github.com/python-pillow/Pillow/issues/835 详情地址
开源代码引入 不涉及 tests/ut/module/test_fold_schedules.py:8 http://www.apache.org/licenses/LICENSE-2.0 License地址
开源代码引入 不涉及 tests/ut/module/test_auto_recomputing.py:8 http://www.apache.org/licenses/LICENSE-2.0 License地址
开源代码引入 不涉及 tests/ut/module/test_triangle_attn.py:8 http://www.apache.org/licenses/LICENSE-2.0 License地址
开源代码引入 不涉及 tests/st/test_bloom/run_bloom_ptd.py:8 http://www.apache.org/licenses/LICENSE-2.0 License地址
开源代码引入 不涉及 tests/st/test_bloom/run_llama_ptd.py:8 http://www.apache.org/licenses/LICENSE-2.0 License地址
开源代码引入 不涉及 tests/st/test_bloom/run_gpt_ptd.py:8 http://www.apache.org/licenses/LICENSE-2.0 License地址
开源代码引入 不涉及 setup.py:8 http://www.apache.org/licenses/LICENSE-2.0 License地址
开源代码引入 不涉及 setup.py:85 https://packaging.python.org/en/latest/single_source_version.html 详情地址
开源代码引入 不涉及 tools/retro/utils.py:6 https://github.com/NVIDIA/Megatron-LM/blob/main/tools/retro/utils.py 源代码地址
开源代码引入 不涉及 tools/preprocess_data.py:8 http://www.apache.org/licenses/LICENSE-2.0 License地址
开源代码引入 不涉及 tools/checkpoint/saver_megatron.py:8 http://www.apache.org/licenses/LICENSE-2.0 License地址
开源代码引入 不涉及 tools/checkpoint/util.py:8 http://www.apache.org/licenses/LICENSE-2.0 License地址
开源代码引入 不涉及 tools/checkpoint/loader_llama2_hf.py http://www.apache.org/licenses/LICENSE-2.0 License地址
开源代码引入 不涉及 modellink/text_generation/beam_utils.py http://www.apache.org/licenses/LICENSE-2.0 License地址
开源代码引入 不涉及 modellink/text_generation/utils.py https://medium.com/huggingface/how-to-build-a-state-of-the-art-conversational-ai-with-transfer 源代码地址
开源代码引入 不涉及 modellink/init.py http://www.apache.org/licenses/LICENSE-2.0 License地址
开源代码引入 不涉及 modellink/adapter_lora/init.py http://www.apache.org/licenses/LICENSE-2.0 License地址
开源代码引入 不涉及 modellink/tokenizer/init.py http://www.apache.org/licenses/LICENSE-2.0 License地址
开源代码引入 不涉及 modellink/tokenizer/tokenizer.py http://www.apache.org/licenses/LICENSE-2.0 License地址
开源代码引入 不涉及 modellink/utils.py http://www.apache.org/licenses/LICENSE-2.0 License地址
开源代码引入 不涉及 modellink/model/module.py http://www.apache.org/licenses/LICENSE-2.0 License地址
开源代码引入 不涉及 modellink/error_utils.py http://www.apache.org/licenses/LICENSE-2.0 License地址
开源代码引入 不涉及 modellink/data/prompter.py http://www.apache.org/licenses/LICENSE-2.0 License地址
开源代码引入 不涉及 modellink/data/data_handler.py http://www.apache.org/licenses/LICENSE-2.0 License地址
开源代码引入 不涉及 tasks/evaluation/eval_api/chat.py http://www.apache.org/licenses/LICENSE-2.0 License地址
开源代码引入 不涉及 tasks/evaluation/eval_api/dataset_eval.py http://www.apache.org/licenses/LICENSE-2.0 License地址
开源代码引入 不涉及 tasks/evaluation/evaluation_llama.py http://www.apache.org/licenses/LICENSE-2.0 License地址
开源代码引入 不涉及 tasks/evaluation/eval_impl/agi_eval.py http://www.apache.org/licenses/LICENSE-2.0 License地址
开源代码引入 不涉及 tasks/evaluation/eval_impl/bbh_eval.py http://www.apache.org/licenses/LICENSE-2.0 License地址
开源代码引入 不涉及 tasks/evaluation/eval_impl/boolq_eval.py http://www.apache.org/licenses/LICENSE-2.0 License地址
开源代码引入 不涉及 tasks/evaluation/eval_impl/ceval_exam.py http://www.apache.org/licenses/LICENSE-2.0 License地址
开源代码引入 不涉及 tasks/evaluation/eval_impl/gsm8k_eval.py http://www.apache.org/licenses/LICENSE-2.0 License地址
开源代码引入 不涉及 tasks/evaluation/eval_impl/human_eval.py http://www.apache.org/licenses/LICENSE-2.0 License地址
开源代码引入 不涉及 tasks/evaluation/eval_impl/mmlu_eval.py http://www.apache.org/licenses/LICENSE-2.0 License地址
开源代码引入 不涉及 tasks/evaluation/eval_impl/template.py http://www.apache.org/licenses/LICENSE-2.0 License地址