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README.md
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Organization page: https://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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- π₯2024
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- π₯2024
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- 23/01/2024: we release [**CMMMU**](https://huggingface.co/datasets/m-a-p/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**](https://huggingface.co/m-a-p/MuPT_v0_8192_1.3B). Our models are **LLAMA2**-based, pre-trained on **world's largest 10B tokens symbolic music dataset** ([ABC notation format](https://en.wikipedia.org/wiki/ABC_notation)). 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](https://arxiv.org/abs/2306.00107) and training [codes](https://github.com/yizhilll/MERT).
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Organization page: https://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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- π₯11/04/2024: MuPT [**paper**](https://arxiv.org/abs/2404.06393) and [**demo**](https://twitter.com/GeZhang86038849/status/1778089599035941279) is out.
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- π₯08/04/2024: Chinese Tiny LLM is out. [**HF collection**](https://huggingface.co/collections/m-a-p/chinese-tiny-llm-660d0133dff6856f94ce0fc6).
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- π₯28/02/2024: The release of [**ChatMusician**](https://huggingface.co/collections/m-a-p/chatmusician-65de07b3b87b189c2a588329)'s demo, code, model, data, and benchmark. π
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- π₯23/02/2024: The release of [**OpenCodeInterpreter**](https://huggingface.co/collections/m-a-p/opencodeinterpreter-65d312f6f88da990a64da456), beats GPT-4 code interpreter on HumanEval.
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- 23/01/2024: we release [**CMMMU**](https://huggingface.co/datasets/m-a-p/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**](https://huggingface.co/m-a-p/MuPT_v0_8192_1.3B). Our models are **LLAMA2**-based, pre-trained on **world's largest 10B tokens symbolic music dataset** ([ABC notation format](https://en.wikipedia.org/wiki/ABC_notation)). 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](https://arxiv.org/abs/2306.00107) and training [codes](https://github.com/yizhilll/MERT).
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