Multimodal Art Projection

Multimodal Art Projection (M-A-P) is an open-source AI research community.

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The community members are working on research topics in a wide range of spectrum, including but not limited to pre-training paradigm of foundation models, large-scale data collection and processing, and the derived applciations on coding, reasoning and music creativity.

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The community is open to researchers keen on any relevant topic. Welcome to join us!

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• Discord Channel
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• Our Full Paper List
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• mail: contact@m-a-p.ai
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The development log of our Multimodal Art Projection (m-a-p) model family:

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• 🔥28/01/2025: We release YuE (乐), the most powerful open-source foundation models for music generation, specifically for transforming lyrics into full songs (lyrics2song), like Suno.ai. See demos.
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• 🔥08/05/2024: We release the fully transparent large language model MAP-Neo, series models for scaling law exploraltion and post-training alignment, and along with the training corpus Matrix.
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• 🔥11/04/2024: MuPT paper and demo are out. HF collection.
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• 🔥08/04/2024: Chinese Tiny LLM is out. HF collection.
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• 🔥28/02/2024: The release of ChatMusician's demo, code, model, data, and benchmark. 😆
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• 🔥23/02/2024: The release of OpenCodeInterpreter, beats GPT-4 code interpreter on HumanEval.
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• 23/01/2024: we release CMMMU for better Chinese LMMs' Evaluation.
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• 13/01/2024: we release a series of Music Pretrained Transformer (MuPT) checkpoints, with size up to 1.3B and 8192 context length. Our models are LLAMA2-based, pre-trained on world's largest 10B tokens symbolic music dataset (ABC notation format). We currently support Megatron-LM format and will release huggingface checkpoints soon.
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• 02/06/2023: officially release the MERT pre-print paper and training codes.
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• 17/03/2023: we release two advanced music understanding models, MERT-v1-95M and MERT-v1-330M , trained with new paradigm and dataset. They outperform the previous models and can better generalize to more tasks.
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• 14/03/2023: we retrained the MERT-v0 model with open-source-only music dataset MERT-v0-public
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• 29/12/2022: a music understanding model MERT-v0 trained with MLM paradigm, which performs better at downstream tasks.
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• 29/10/2022: a pre-trained MIR model music2vec trained with BYOL paradigm.
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Reason: e 40, in __init__\n self.model = AutoModelForCausalLM.from_pretrained(\n File \"/home/user/.pyenv/versions/3.10.15/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py\", line 566, in from_pretrained\n return model_class.from_pretrained(\n File \"/home/user/.pyenv/versions/3.10.15/lib/python3.10/site-packages/transformers/modeling_utils.py\", line 3485, in from_pretrained\n resolved_archive_file, sharded_metadata = get_checkpoint_shard_files(\n File \"/home/user/.pyenv/versions/3.10.15/lib/python3.10/site-packages/transformers/utils/hub.py\", line 1025, in get_checkpoint_shard_files\n cached_filename = cached_file(\n File \"/home/user/.pyenv/versions/3.10.15/lib/python3.10/site-packages/transformers/utils/hub.py\", line 385, in cached_file\n resolved_file = hf_hub_download(\n File \"/home/user/.pyenv/versions/3.10.15/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py\", line 114, in _inner_fn\n return fn(*args, **kwargs)\n File \"/home/user/.pyenv/versions/3.10.15/lib/python3.10/site-packages/huggingface_hub/file_download.py\", line 862, in hf_hub_download\n return _hf_hub_download_to_cache_dir(\n File \"/home/user/.pyenv/versions/3.10.15/lib/python3.10/site-packages/huggingface_hub/file_download.py\", line 1011, in _hf_hub_download_to_cache_dir\n _download_to_tmp_and_move(\n File \"/home/user/.pyenv/versions/3.10.15/lib/python3.10/site-packages/huggingface_hub/file_download.py\", line 1545, in _download_to_tmp_and_move\n http_get(\n File \"/home/user/.pyenv/versions/3.10.15/lib/python3.10/site-packages/huggingface_hub/file_download.py\", line 439, in http_get\n raise RuntimeError(\nRuntimeError: An error occurred while downloading using `hf_transfer`. Consider disabling HF_HUB_ENABLE_HF_TRANSFER for better error handling.\nWARNING:traitlets:Could not destroy zmq context for \nWARNING:traitlets:Could not destroy zmq context for \n","replicas":{"requested":1},"devMode":false,"domains":[{"domain":"m-a-p-opencodeinterpreter-demo.hf.space","stage":"READY"}]},"title":"OpenCodeInterpreter Demo","isLikedByUser":false,"trendingScore":0,"tags":["gradio","region:us"],"featured":false},{"author":"m-a-p","authorData":{"_id":"6384ee7fdfffab482400b938","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/6382252f54421460665ec501/oNH4MDqpSiMWJpxbaSLOv.png","fullname":"Multimodal Art Projection","name":"m-a-p","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":993,"isUserFollowing":false},"colorFrom":"gray","colorTo":"indigo","createdAt":"2024-03-04T02:29:41.000Z","emoji":"💻","id":"m-a-p/ChatMusician","lastModified":"2024-03-07T08:01:10.000Z","likes":18,"pinned":false,"private":false,"sdk":"gradio","repoType":"space","runtime":{"stage":"RUNTIME_ERROR","hardware":{"current":null,"requested":"a10g-small"},"storage":null,"gcTimeout":3600,"errorMessage":" fn(*args, **kwargs)\n File \"/home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages/huggingface_hub/file_download.py\", line 1406, in hf_hub_download\n raise LocalEntryNotFoundError(\nhuggingface_hub.utils._errors.LocalEntryNotFoundError: An error happened while trying to locate the file on the Hub and we cannot find the requested files in the local cache. Please check your connection and try again or make sure your Internet connection is on.\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n File \"/home/user/app/app.py\", line 286, in \n model = AutoModelForCausalLM.from_pretrained(\n File \"/home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py\", line 482, in from_pretrained\n config, kwargs = AutoConfig.from_pretrained(\n File \"/home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py\", line 1007, in from_pretrained\n config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs)\n File \"/home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages/transformers/configuration_utils.py\", line 620, in get_config_dict\n config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)\n File \"/home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages/transformers/configuration_utils.py\", line 675, in _get_config_dict\n resolved_config_file = cached_file(\n File \"/home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages/transformers/utils/hub.py\", line 468, in cached_file\n raise EnvironmentError(\nOSError: We couldn't connect to 'https://huggingface.co' to load this file, couldn't find it in the cached files and it looks like m-a-p/ChatMusician is not the path to a directory containing a file named config.json.\nCheckout your internet connection or see how to run the library in offline mode at 'https://huggingface.co/docs/transformers/installation#offline-mode'.\n","replicas":{"requested":1},"devMode":false,"domains":[{"domain":"m-a-p-chatmusician.hf.space","stage":"READY"}]},"title":"ChatMusician","isLikedByUser":false,"trendingScore":0,"tags":["gradio","region:us"],"featured":false},{"author":"m-a-p","authorData":{"_id":"6384ee7fdfffab482400b938","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/6382252f54421460665ec501/oNH4MDqpSiMWJpxbaSLOv.png","fullname":"Multimodal Art Projection","name":"m-a-p","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":993,"isUserFollowing":false},"colorFrom":"gray","colorTo":"red","createdAt":"2023-05-18T18:32:49.000Z","emoji":"💻","id":"m-a-p/MERT-Music-Genre-Tagging-Prediction","lastModified":"2023-06-02T13:42:05.000Z","likes":11,"pinned":false,"private":false,"sdk":"gradio","repoType":"space","runtime":{"stage":"RUNTIME_ERROR","hardware":{"current":null,"requested":"cpu-basic"},"storage":null,"gcTimeout":172800,"errorMessage":"Exit code: 128. Reason: failed to create containerd task: failed to create shim task: context deadline exceeded: unknown","replicas":{"requested":1},"devMode":false,"domains":[{"domain":"m-a-p-mert-music-genre-tagging-prediction.hf.space","stage":"READY"}]},"title":"Music Tagging","isLikedByUser":false,"trendingScore":0,"tags":["gradio","region:us"],"featured":false}],"buckets":[],"numBuckets":0,"numDatasets":70,"numModels":205,"numSpaces":5,"lastOrgActivities":[{"time":"2026-02-20T08:37:48.411Z","user":"MING-ZCH","userAvatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/647daf00cfca67bc50f9a99f/8Snmk1V6lZ8ecdTW3POfm.jpeg","type":"paper","paper":{"id":"2602.10575","title":"MetaphorStar: Image Metaphor Understanding and Reasoning with End-to-End Visual Reinforcement Learning","publishedAt":"2026-02-11T06:59:36.000Z","upvotes":4,"isUpvotedByUser":true}},{"time":"2026-02-13T08:06:58.007Z","user":"MING-ZCH","userAvatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/647daf00cfca67bc50f9a99f/8Snmk1V6lZ8ecdTW3POfm.jpeg","type":"paper-daily","paper":{"id":"2602.10575","title":"MetaphorStar: Image Metaphor Understanding and Reasoning with End-to-End Visual Reinforcement Learning","thumbnailUrl":"https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2602.10575.png","upvotes":4,"publishedAt":"2026-02-11T06:59:36.000Z","isUpvotedByUser":true}},{"time":"2026-02-12T03:57:36.722Z","user":"SiweiWu","userAvatarUrl":"/avatars/fd23bae1d85c5b96c42064a5ddcfad41.svg","orgAvatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/6382252f54421460665ec501/oNH4MDqpSiMWJpxbaSLOv.png","type":"update","repoData":{"author":"m-a-p","authorData":{"_id":"6384ee7fdfffab482400b938","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/6382252f54421460665ec501/oNH4MDqpSiMWJpxbaSLOv.png","fullname":"Multimodal Art Projection","name":"m-a-p","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":993,"isUserFollowing":false},"downloads":7,"gated":false,"id":"m-a-p/TerminalTraj-32B","availableInferenceProviders":[],"lastModified":"2026-02-12T03:56:45.000Z","likes":0,"private":false,"repoType":"model","isLikedByUser":false,"numParameters":32763876352},"repoId":"m-a-p/TerminalTraj-32B","repoType":"model","org":"m-a-p"}],"acceptLanguages":["*"],"canReadRepos":false,"canReadSpaces":false,"blogPosts":[],"currentRepoPage":0,"filters":{},"paperView":false}">

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Recent Activity

MING-ZCH  authored a paper about 2 hours ago

MetaphorStar: Image Metaphor Understanding and Reasoning with End-to-End Visual Reinforcement Learning

MING-ZCH  submitted a paper 7 days ago

MetaphorStar: Image Metaphor Understanding and Reasoning with End-to-End Visual Reinforcement Learning

SiweiWu  updated a model 8 days ago

m-a-p/TerminalTraj-32B

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Papers

CoDiQ: Test-Time Scaling for Controllable Difficult Question Generation

AutoMV: An Automatic Multi-Agent System for Music Video Generation

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Team members 81

Organization Card

Community About org cards

Multimodal Art Projection (M-A-P) is an open-source AI research community.

The community members are working on research topics in a wide range of spectrum, including but not limited to pre-training paradigm of foundation models, large-scale data collection and processing, and the derived applciations on coding, reasoning and music creativity.

The community is open to researchers keen on any relevant topic. Welcome to join us!

• Discord Channel
• Our Full Paper List
• mail: contact@m-a-p.ai

The development log of our Multimodal Art Projection (m-a-p) model family:

• 🔥28/01/2025: We release YuE (乐), the most powerful open-source foundation models for music generation, specifically for transforming lyrics into full songs (lyrics2song), like Suno.ai. See demos.
• 🔥08/05/2024: We release the fully transparent large language model MAP-Neo, series models for scaling law exploraltion and post-training alignment, and along with the training corpus Matrix.
• 🔥11/04/2024: MuPT paper and demo are out. HF collection.
• 🔥08/04/2024: Chinese Tiny LLM is out. HF collection.
• 🔥28/02/2024: The release of ChatMusician's demo, code, model, data, and benchmark. 😆
• 🔥23/02/2024: The release of OpenCodeInterpreter, beats GPT-4 code interpreter on HumanEval.
• 23/01/2024: we release CMMMU for better Chinese LMMs' Evaluation.
• 13/01/2024: we release a series of Music Pretrained Transformer (MuPT) checkpoints, with size up to 1.3B and 8192 context length. Our models are LLAMA2-based, pre-trained on world's largest 10B tokens symbolic music dataset (ABC notation format). We currently support Megatron-LM format and will release huggingface checkpoints soon.
• 02/06/2023: officially release the MERT pre-print paper and training codes.
• 17/03/2023: we release two advanced music understanding models, MERT-v1-95M and MERT-v1-330M , trained with new paradigm and dataset. They outperform the previous models and can better generalize to more tasks.
• 14/03/2023: we retrained the MERT-v0 model with open-source-only music dataset MERT-v0-public
• 29/12/2022: a music understanding model MERT-v0 trained with MLM paradigm, which performs better at downstream tasks.
• 29/10/2022: a pre-trained MIR model music2vec trained with BYOL paradigm.

Collections 23

TerminalTraj

Including TerminalTraj's data, models, and paper

• m-a-p/TerminalTraj

  Viewer • Updated 9 days ago • 20k • 58 • 1
• 

  m-a-p/TerminalTraj-7B

  8B • Updated 9 days ago • 29 • 1
• 

  m-a-p/TerminalTraj-14B

  15B • Updated 9 days ago • 16
• 

  m-a-p/TerminalTraj-32B

  33B • Updated 8 days ago • 7

REER-DeepWriter

Reverse-Engineered Reasoning

• m-a-p/DeepWriting-20K

  Viewer • Updated Sep 9, 2025 • 35.8k • 60 • 31

TerminalTraj

Including TerminalTraj's data, models, and paper

• m-a-p/TerminalTraj

  Viewer • Updated 9 days ago • 20k • 58 • 1
• 

  m-a-p/TerminalTraj-7B

  8B • Updated 9 days ago • 29 • 1
• 

  m-a-p/TerminalTraj-14B

  15B • Updated 9 days ago • 16
• 

  m-a-p/TerminalTraj-32B

  33B • Updated 8 days ago • 7

REER-DeepWriter

Reverse-Engineered Reasoning

• m-a-p/DeepWriting-20K

  Viewer • Updated Sep 9, 2025 • 35.8k • 60 • 31

View 23 collections

spaces 5

Sort:  Recently updated

pinned

Running

35

Music Descriptor

🚀

Analyze music to identify genres, instruments, and emotions

Runtime error

68

OpenCodeInterpreter Demo

🚀

Runtime error

18

ChatMusician

💻

Runtime error

11

Music Tagging

💻

models 205

Sort:  Recently updated

m-a-p/TerminalTraj-32B

33B • Updated 8 days ago • 7

m-a-p/TerminalTraj-7B

8B • Updated 9 days ago • 29 • 1

m-a-p/TerminalTraj-14B

15B • Updated 9 days ago • 16

m-a-p/CoDiQ-Gen-8B

8B • Updated 18 days ago • 21

m-a-p/TreePO-Qwen2.5-7B

Text Generation • 8B • Updated Oct 8, 2025 • 21 • 2

m-a-p/transformer_340M_baseline

0.3B • Updated Sep 11, 2025 • 7

m-a-p/transformer_1.3B_baseline

1B • Updated Sep 11, 2025 • 5

m-a-p/TreePO-Qwen2.5-7B_Naive2Low_Scheduler

8B • Updated Sep 4, 2025 • 10

m-a-p/TreePO-Qwen2.5-7B_Low_Prob_Encourage

8B • Updated Sep 4, 2025 • 11

m-a-p/TreePO-Qwen2.5-7B_GRPO-TreePO-Sampling

8B • Updated Sep 4, 2025 • 11

View 205 models

datasets 70

Sort:  Recently updated

m-a-p/TerminalTraj

Viewer • Updated 9 days ago • 20k • 58 • 1

m-a-p/oprover_lean

Viewer • Updated 9 days ago • 29.8k • 37

m-a-p/Encyclo-K

Viewer • Updated 11 days ago • 5.04k • 50 • 3

m-a-p/COIG-Writer

Updated 11 days ago • 869 • 22

m-a-p/Retrieval-Infused-Reasoning-Sandbox

Viewer • Updated 17 days ago • 300 • 26 • 1

m-a-p/CoDiQ-Corpus

Viewer • Updated 18 days ago • 44.5k • 15

m-a-p/PIN-200M

Viewer • Updated Dec 15, 2025 • 68.1k • 31.4k • 22

m-a-p/OO1-Chat-747K

Viewer • Updated Nov 10, 2025 • 732k • 406

m-a-p/LPFQA

Viewer • Updated Nov 10, 2025 • 502 • 200 • 6

m-a-p/CodeCriticBench

Preview • Updated Nov 2, 2025 • 54 • 4

View 70 datasets