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All rights reserved. + +SongGeneration is licensed under the License Terms of SongGeneration except for the third-party components listed below, which is licensed under different terms. SongGeneration does not impose any additional limitations beyond what is outlined in the respective licenses of these third-party components. Users must comply with all terms and conditions of original licenses of these third-party components and must ensure that the usage of the third party components adheres to all relevant laws and regulations. + + +License Terms of SongGeneration: +-------------------------------------------------------------------- + +Permission is hereby granted, free of charge, to any person obtaining a copy of this Software and associated documentation files, to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, and/or sublicense copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: + +- You agree to use the SongGeneration only for academic, research and education purposes, and refrain from using it for any commercial or production purposes under any circumstances. + +- The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. + +For avoidance of doubts, "Software" means the SongGeneration inference-enabling code and the weights made available under this license excluding any pre-trained data and other AI components. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + + +Other dependencies and licenses: + + +Open Source Software Licensed under the MIT License and Other Licenses of the Third-Party Components therein: +-------------------------------------------------------------------- +1. stable_audio_tools +Copyright (c) 2023 Stability AI + + +Terms of the MIT: +-------------------------------------------------------------------- +Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + +For the license of other third party components, please refer to the following URL: +https://github.com/Stability-AI/stable-audio-tools/tree/main/LICENSES + + +Open Source Software Licensed under the MIT License: +-------------------------------------------------------------------- +1. demucs +Copyright (c) Meta Platforms, Inc. and affiliates. + + +A copy of the MIT is included in this file. + + + +Open Source Software Licensed under the BSD 3-Clause License and Other Licenses of the Third-Party Components therein: +-------------------------------------------------------------------- +1. torch +From PyTorch: + +Copyright (c) 2016- Facebook, Inc (Adam Paszke) +Copyright (c) 2014- Facebook, Inc (Soumith Chintala) +Copyright (c) 2011-2014 Idiap Research Institute (Ronan Collobert) +Copyright (c) 2012-2014 Deepmind Technologies (Koray Kavukcuoglu) +Copyright (c) 2011-2012 NEC Laboratories America (Koray Kavukcuoglu) +Copyright (c) 2011-2013 NYU (Clement Farabet) +Copyright (c) 2006-2010 NEC Laboratories America (Ronan Collobert, Leon Bottou, Iain Melvin, Jason Weston) +Copyright (c) 2006 Idiap Research Institute (Samy Bengio) +Copyright (c) 2001-2004 Idiap Research Institute (Ronan Collobert, Samy Bengio, Johnny Mariethoz) + +From Caffe2: + +Copyright (c) 2016-present, Facebook Inc. All rights reserved. + +All contributions by Facebook: +Copyright (c) 2016 Facebook Inc. + +All contributions by Google: +Copyright (c) 2015 Google Inc. +All rights reserved. + +All contributions by Yangqing Jia: +Copyright (c) 2015 Yangqing Jia +All rights reserved. + +All contributions by Kakao Brain: +Copyright 2019-2020 Kakao Brain + +All contributions by Cruise LLC: +Copyright (c) 2022 Cruise LLC. +All rights reserved. + +All contributions from Caffe: +Copyright(c) 2013, 2014, 2015, the respective contributors +All rights reserved. + +All other contributions: +Copyright(c) 2015, 2016 the respective contributors +All rights reserved. + +Caffe2 uses a copyright model similar to Caffe: each contributor holds +copyright over their contributions to Caffe2. The project versioning records +all such contribution and copyright details. 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Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. + +For the license of other third party components, please refer to the following URL: +https://github.com/pytorch/pytorch/blob/v2.0.1/NOTICE + + +Open Source Software Licensed under the BSD 2-Clause License and Other Licenses of the Third-Party Components therein: +-------------------------------------------------------------------- +1. torchaudio +Copyright (c) 2017 Facebook Inc. (Soumith Chintala), +All rights reserved. + + +Terms of the BSD 2-Clause: +-------------------------------------------------------------------- +Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: + +* Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. + +* Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. 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All rights reserved. + + +Terms of the Apache License Version 2.0: +-------------------------------------------------------------------- +Apache License + +Version 2.0, January 2004 + +http://www.apache.org/licenses/ + +TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION +1. Definitions. + +"License" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. + +"Licensor" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License. + +"Legal Entity" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. 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While redistributing the Work or Derivative Works thereof, You may choose to offer, and charge a fee for, acceptance of support, warranty, indemnity, or other liability obligations and/or rights consistent with this License. However, in accepting such obligations, You may act only on Your own behalf and on Your sole responsibility, not on behalf of any other Contributor, and only if You agree to indemnify, defend, and hold each Contributor harmless for any liability incurred by, or claims asserted against, such Contributor by reason of your accepting any such warranty or additional liability. + +END OF TERMS AND CONDITIONS \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..20bb230b97463279ab436aa9cca0c21bd10f64f4 --- /dev/null +++ b/README.md @@ -0,0 +1,39 @@ +--- +language: +- en +- zh +pipeline_tag: text-to-audio +library_name: tencent-song-generation +--- + +# SongGeneration + +

+ Demo | Paper | Code | Space Demo +
+ + +This repository is the official weight repository for LeVo: High-Quality Song Generation with Multi-Preference Alignment. In this repository, we provide the SongGeneration model, inference scripts, and the checkpoint that has been trained on the Million Song Dataset. + +## Model Versions + +| Model | Max Length | Language | GPU Menmory | RFT(A100) | Download Link | +| ------------------------- | :--------: | :------------------: | :---------: | :-------: | ------------------------------------------------------------ | +| SongGeneration-base | 2m30s | zh | 10G/16G | 1.26 | You were here | +| SongGeneration-base-new | 2m30s | zh, en | 10G/16G | 1.26 | [Huggingface](https://huggingface.co/lglg666/SongGeneration-base-new) | +| SongGeneration-base-full | 4m30s | zh, en | 12G/18G | 1.30 | [Huggingface](https://huggingface.co/lglg666/SongGeneration-base-full) | +| SongGeneration-large | 4m30s | zh, en | 22G/28G | 1.51 | [Huggingface](https://huggingface.co/lglg666/SongGeneration-large) | +| SongGeneration-v1.5-small | 2m | zh, en, es, ja, etc. | - | - | Coming soon | +| SongGeneration-v1.5-base | 4m30s | zh, en, es, ja, etc. | - | - | Coming soon | +| SongGeneration-v1.5-large | 4m30s | zh, en, es, ja, etc. | - | - | Coming soon | + +## Overview + +We develop the SongGeneration model. It is an LM-based framework consisting of **LeLM** and a **music codec**. LeLM is capable of parallelly modeling two types of tokens: mixed tokens, which represent the combined audio of vocals and accompaniment to achieve vocal-instrument harmony, and dual-track tokens, which separately encode vocals and accompaniment for high-quality song generation. The music codec reconstructs the dual-track tokens into highfidelity music audio. SongGeneration significantly improves over the open-source music generation models and performs competitively with current state-of-the-art industry systems. For more details, please refer to our [paper](https://arxiv.org/abs/2506.07520). + +
+
+## License
+
+The code and weights in this repository is released in the [LICENSE](LICENSE) file.
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+ "conv_stride": [
+ 5,
+ 2,
+ 2,
+ 2,
+ 2,
+ 2,
+ 2
+ ],
+ "ctc_loss_reduction": "sum",
+ "ctc_zero_infinity": false,
+ "do_stable_layer_norm": false,
+ "eos_token_id": 2,
+ "feat_extract_activation": "gelu",
+ "feat_extract_norm": "group",
+ "feat_proj_dropout": 0.0,
+ "feat_proj_layer_norm": true,
+ "final_dropout": 0.1,
+ "hidden_act": "gelu",
+ "hidden_dropout": 0.1,
+ "hidden_size": 768,
+ "initializer_range": 0.02,
+ "intermediate_size": 3072,
+ "layer_norm_eps": 1e-05,
+ "layerdrop": 0.1,
+ "mask_feature_length": 10,
+ "mask_feature_min_masks": 0,
+ "mask_feature_prob": 0.0,
+ "mask_time_length": 10,
+ "mask_time_min_masks": 2,
+ "mask_time_prob": 0.05,
+ "model_type": "hubert",
+ "num_attention_heads": 12,
+ "num_conv_pos_embedding_groups": 16,
+ "num_conv_pos_embeddings": 128,
+ "num_feat_extract_layers": 7,
+ "num_hidden_layers": 12,
+ "pad_token_id": 0,
+ "torch_dtype": "float32",
+ "transformers_version": "4.27.3",
+ "use_weighted_layer_sum": false,
+ "vocab_size": 32
+}
diff --git a/ckpt/models--lengyue233--content-vec-best/snapshots/c0b9ba13db21beaa4053faae94c102ebe326fd68/pytorch_model.bin b/ckpt/models--lengyue233--content-vec-best/snapshots/c0b9ba13db21beaa4053faae94c102ebe326fd68/pytorch_model.bin
new file mode 100644
index 0000000000000000000000000000000000000000..f03cfb9aa43106344342ef928c119d5ad5f9aa5c
--- /dev/null
+++ b/ckpt/models--lengyue233--content-vec-best/snapshots/c0b9ba13db21beaa4053faae94c102ebe326fd68/pytorch_model.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d8dd400e054ddf4e6be75dab5a2549db748cc99e756a097c496c099f65a4854e
+size 378342945
diff --git a/ckpt/prompt.pt b/ckpt/prompt.pt
new file mode 100644
index 0000000000000000000000000000000000000000..22d75c867ac75efbed71577ec857136986711e96
--- /dev/null
+++ b/ckpt/prompt.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:93fbcc4b88050a0ac9180beee723eb3600229ebcd22afa70aaeb450a622b9f49
+size 3133236
diff --git a/ckpt/songgeneration_base/config.yaml b/ckpt/songgeneration_base/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..8246a1b6292ecb9a902f4f985e55d0c4a0425f45
--- /dev/null
+++ b/ckpt/songgeneration_base/config.yaml
@@ -0,0 +1,141 @@
+# ================ Train Config ================ #
+lyric_processor:
+max_dur: 150
+min_dur: 30
+prompt_len: 10
+pad_to_max: true
+
+
+# ================ Audio tokenzier ================ #
+audio_tokenizer_checkpoint: Flow1dVAE1rvq_./ckpt/model_1rvq/model_2_fixed.safetensors
+audio_tokenizer_frame_rate: 25
+audio_tokenizer_code_depth: 1
+sample_rate: 48000
+
+audio_tokenizer_checkpoint_sep: Flow1dVAESeparate_./ckpt/model_septoken/model_2.safetensors
+audio_tokenizer_frame_rate_sep: 25
+audio_tokenizer_code_depth_sep: 2
+sample_rate_sep: 48000
+
+# ================ VAE ================ #
+vae_config: ./ckpt/vae/stable_audio_1920_vae.json
+vae_model: ./ckpt/vae/autoencoder_music_1320k.ckpt
+
+# ================== LM =========================== #
+lm:
+ lm_type: Llama # [Llama]
+ dim: 1536
+ intermediate_size: 8960
+ num_heads: 12
+ num_layers: 28
+ num_layers_sub: 12
+ code_depth: 3
+ code_size: 16384
+ max_position_embeddings: 8196
+ max_position_embeddings_sub: 10000
+ rope_theta: 100000.0
+ rope_theta_sub: 500000.0
+ dropout: 0.0
+ use_flash_attn_2: true
+ activation: gelu
+ norm_first: true
+ bias_ff: false
+ bias_attn: false
+ causal: true
+ custom: false
+ memory_efficient: true
+ attention_as_float32: false
+ layer_scale: null
+ positional_embedding: sin
+ xpos: false
+ checkpointing: torch
+ weight_init: gaussian
+ depthwise_init: current
+ zero_bias_init: true
+ norm: layer_norm
+ cross_attention: false
+ qk_layer_norm: false
+ qk_layer_norm_cross: false
+ attention_dropout: null
+ kv_repeat: 1
+
+codebooks_pattern:
+ modeling: delay
+ delay:
+ delays: [ 0, 250, 250 ]
+ flatten_first: 0
+ empty_initial: 0
+
+# ================ Conditioners ===================== #
+classifier_free_guidance:
+ # drop all conditions simultaneously
+ training_dropout: 0.15
+ inference_coef: 1.5
+
+attribute_dropout:
+ # drop each condition separately
+ args:
+ active_on_eval: false
+ text:
+ description: 0.0
+ type_info: 0.5
+ audio:
+ prompt_audio: 0.0
+
+
+use_text_training: True
+fuser:
+ sum: []
+ prepend: [ description, prompt_audio, type_info ] # this order is the SAME with the input concatenation order
+
+conditioners:
+ prompt_audio:
+ model: qt_embedding
+ qt_embedding:
+ code_size: 16384
+ code_depth: 3
+ max_len: ${eval:${prompt_len}*${audio_tokenizer_frame_rate}+2} # 25*10+2+1
+ description:
+ model: QwTokenizer
+ QwTokenizer:
+ token_path: third_party/Qwen2-7B
+ max_len: 300
+ add_token_list: ${load_yaml:conf/vocab.yaml}
+ type_info:
+ model: QwTextTokenizer
+ QwTextTokenizer:
+ token_path: third_party/Qwen2-7B
+ max_len: 50
+
+offload:
+ audiolm:
+ offload_module: self
+ cpu_mem_gb: 0
+ pre_copy_step: 1
+ clean_cache_after_forward: false
+ dtype: torch.float16
+ offload_layer_dict:
+ transformer: 4
+ transformer2: 4
+ ignore_layer_list: []
+ clean_cache_wrapper:
+ module: self
+ method_name: _sample_next_token
+ diff_mem_gb_thre: 2
+ debug: false
+
+ wav_tokenizer_diffusion:
+ offload_module: self.model.model
+ pre_copy_step: 1
+ clean_cache_after_forward: false
+ cpu_mem_gb: -1
+ dtype: null
+ offload_layer_dict:
+ cfm_wrapper: 5
+ hubert: 4
+ ignore_layer_list: []
+ clean_cache_wrapper:
+ module: self.model.model.cfm_wrapper.estimator
+ method_name: forward
+ diff_mem_gb_thre: 1
+ debug: false
diff --git a/ckpt/songgeneration_base/model.pt b/ckpt/songgeneration_base/model.pt
new file mode 100644
index 0000000000000000000000000000000000000000..c5313851ba52d13fef8bf4e8adff93fb7b5d2b93
--- /dev/null
+++ b/ckpt/songgeneration_base/model.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8763fc75e5db768c334a9fbadd08e2004eccb6e15156c76b4c2a3984f8fbb884
+size 11318365872
diff --git a/ckpt/vae/autoencoder_music_1320k.ckpt b/ckpt/vae/autoencoder_music_1320k.ckpt
new file mode 100644
index 0000000000000000000000000000000000000000..0630b7d81686fdbf692b62884e37c7de3c0c094a
--- /dev/null
+++ b/ckpt/vae/autoencoder_music_1320k.ckpt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:10ccb6c83613781ad32e998a90597ba7eb9292911a224598da1fd53728eb4cd3
+size 674920616
diff --git a/ckpt/vae/stable_audio_1920_vae.json b/ckpt/vae/stable_audio_1920_vae.json
new file mode 100644
index 0000000000000000000000000000000000000000..0d74ab4a4c2657ee9689c8783ce2c630acd6df2d
--- /dev/null
+++ b/ckpt/vae/stable_audio_1920_vae.json
@@ -0,0 +1,122 @@
+{
+ "model_type": "autoencoder",
+ "sample_size": 403200,
+ "sample_rate": 48000,
+ "audio_channels": 2,
+ "model": {
+ "encoder": {
+ "type": "oobleck",
+ "config": {
+ "in_channels": 2,
+ "channels": 128,
+ "c_mults": [1, 2, 4, 8, 16],
+ "strides": [2, 4, 4, 6, 10],
+ "latent_dim": 128,
+ "use_snake": true
+ }
+ },
+ "decoder": {
+ "type": "oobleck",
+ "config": {
+ "out_channels": 2,
+ "channels": 128,
+ "c_mults": [1, 2, 4, 8, 16],
+ "strides": [2, 4, 4, 6, 10],
+ "latent_dim": 64,
+ "use_snake": true,
+ "final_tanh": false
+ }
+ },
+ "bottleneck": {
+ "type": "vae"
+ },
+ "latent_dim": 64,
+ "downsampling_ratio": 1920,
+ "io_channels": 2
+ },
+ "training": {
+ "learning_rate": 1.5e-4,
+ "warmup_steps": 0,
+ "use_ema": true,
+ "optimizer_configs": {
+ "autoencoder": {
+ "optimizer": {
+ "type": "AdamW",
+ "config": {
+ "betas": [0.8, 0.99],
+ "lr": 1.5e-4,
+ "weight_decay": 1e-3
+ }
+ },
+ "scheduler": {
+ "type": "InverseLR",
+ "config": {
+ "inv_gamma": 200000,
+ "power": 0.5,
+ "warmup": 0.999
+ }
+ }
+ },
+ "discriminator": {
+ "optimizer": {
+ "type": "AdamW",
+ "config": {
+ "betas": [0.8, 0.99],
+ "lr": 3e-4,
+ "weight_decay": 1e-3
+ }
+ },
+ "scheduler": {
+ "type": "InverseLR",
+ "config": {
+ "inv_gamma": 200000,
+ "power": 0.5,
+ "warmup": 0.999
+ }
+ }
+ }
+ },
+ "loss_configs": {
+ "discriminator": {
+ "type": "encodec",
+ "config": {
+ "filters": 64,
+ "n_ffts": [2048, 1024, 512, 256, 128],
+ "hop_lengths": [512, 256, 128, 64, 32],
+ "win_lengths": [2048, 1024, 512, 256, 128]
+ },
+ "weights": {
+ "adversarial": 0.1,
+ "feature_matching": 5.0
+ }
+ },
+ "spectral": {
+ "type": "mrstft",
+ "config": {
+ "fft_sizes": [2048, 1024, 512, 256, 128, 64, 32],
+ "hop_sizes": [512, 256, 128, 64, 32, 16, 8],
+ "win_lengths": [2048, 1024, 512, 256, 128, 64, 32],
+ "perceptual_weighting": true
+ },
+ "weights": {
+ "mrstft": 1.0
+ }
+ },
+ "time": {
+ "type": "l1",
+ "weights": {
+ "l1": 0.0
+ }
+ },
+ "bottleneck": {
+ "type": "kl",
+ "weights": {
+ "kl": 1e-4
+ }
+ }
+ },
+ "demo": {
+ "demo_every": 2000
+ }
+ }
+}
diff --git a/img/logo.jpg b/img/logo.jpg
new file mode 100644
index 0000000000000000000000000000000000000000..43c475e5bd41408e36d3ddb1dfc7416dfcccc1d6
Binary files /dev/null and b/img/logo.jpg differ
diff --git a/third_party/Qwen2-7B/LICENSE b/third_party/Qwen2-7B/LICENSE
new file mode 100644
index 0000000000000000000000000000000000000000..6634c8cc3133b3848ec74b9f275acaaa1ea618ab
--- /dev/null
+++ b/third_party/Qwen2-7B/LICENSE
@@ -0,0 +1,202 @@
+
+ Apache License
+ Version 2.0, January 2004
+ http://www.apache.org/licenses/
+
+ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+ 1. Definitions.
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\ No newline at end of file
diff --git a/third_party/Qwen2-7B/README.md b/third_party/Qwen2-7B/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..7bed8361ea56b8890ed0ea5c532b4ad11cded8b8
--- /dev/null
+++ b/third_party/Qwen2-7B/README.md
@@ -0,0 +1,97 @@
+---
+language:
+- en
+pipeline_tag: text-generation
+tags:
+- pretrained
+license: apache-2.0
+---
+
+# Qwen2-7B
+
+## Introduction
+
+Qwen2 is the new series of Qwen large language models. For Qwen2, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters, including a Mixture-of-Experts model. This repo contains the 7B Qwen2 base language model.
+
+Compared with the state-of-the-art opensource language models, including the previous released Qwen1.5, Qwen2 has generally surpassed most opensource models and demonstrated competitiveness against proprietary models across a series of benchmarks targeting for language understanding, language generation, multilingual capability, coding, mathematics, reasoning, etc.
+
+For more details, please refer to our [blog](https://qwenlm.github.io/blog/qwen2/), [GitHub](https://github.com/QwenLM/Qwen2), and [Documentation](https://qwen.readthedocs.io/en/latest/).
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