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Mpt 30B by mosaicml

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  Arxiv:1909.08053   Arxiv:2010.04245   Arxiv:2108.12409   Arxiv:2205.14135   Arxiv:2302.06675   Arxiv:2302.13971   Autotrain compatible   Composer   Custom code   Dataset:allenai/c4   Dataset:allenai/s2orc Dataset:bigcode/the-stack-dedu...   Dataset:mc4 Dataset:togethercomputer/redpa...   Llm-foundry   Mosaicml   Mpt   Pytorch   Region:us   Sharded   Streamingdatasets

Mpt 30B Benchmarks

ARC: 55.97 vs 96.7 (so35)-42.1%
HellaSwag: 82.42 vs 95.3 (gpt4)-13.5%
MMLU: 48 vs 88.3 (so35)-45.6%
TruthfulQA: 38.42 vs 59 (gpt4)-34.9%
WinoGrande: 74.9 vs 87.5 (gpt4)-14.4%
GSM8K: 16.91 vs 96.4 (so35)-82.5%
LLME Score: 0.20522
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mpt 30B Parameters and Internals

LLM NameMpt 30B
Repository 🤗https://huggingface.co/mosaicml/mpt-30b 
Model Size30b
Required VRAM60.1 GB
Updated2024-10-18
Maintainermosaicml
Model Typempt
Model Files  9.8 GB: 1-of-7   9.9 GB: 2-of-7   9.9 GB: 3-of-7   9.9 GB: 4-of-7   9.9 GB: 5-of-7   9.9 GB: 6-of-7   0.8 GB: 7-of-7
Model ArchitectureMPTForCausalLM
Licenseapache-2.0
Model Max Length8192
Transformers Version4.28.1
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50432
Torch Data Typebfloat16
Mpt 30B (mosaicml/mpt-30b)

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Note: green Score (e.g. "73.2") means that the model is better than mosaicml/mpt-30b.

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Instruction Following and Task Automation  
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Release v2024072803
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