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Mpt 7B Chat by mosaicml

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  Arxiv:2010.04245   Arxiv:2108.12409   Arxiv:2205.14135   Autotrain compatible   Composer   Custom code   Dataset:anthropic/hh-rlhf   Dataset:hello-simpleai/hc3 Dataset:jeffwan/sharegpt vicun...   Dataset:tatsu-lab/alpaca Dataset:victor123/evol instruc...   Instruct   Llm-foundry   Mosaicml   Mpt   Pytorch   Region:us   Sharded

Mpt 7B Chat Benchmarks

LMSys ELO: 928 vs 1272 (so35)-27%
ARC: 46.5 vs 96.7 (so35)-51.9%
HellaSwag: 75.51 vs 95.3 (gpt4)-20.8%
MMLU: 37.62 vs 88.3 (so35)-57.4%
TruthfulQA: 40.16 vs 59 (gpt4)-31.9%
WinoGrande: 68.43 vs 87.5 (gpt4)-21.8%
GSM8K: 4.09 vs 96.4 (so35)-95.8%
LLME Score: 0.24767
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mpt 7B Chat Parameters and Internals

LLM NameMpt 7B Chat
Repository 🤗https://huggingface.co/mosaicml/mpt-7b-chat 
Model Size7b
Required VRAM13.3 GB
Updated2024-10-18
Maintainermosaicml
Model Typempt
Instruction-BasedYes
Model Files  9.9 GB: 1-of-2   3.4 GB: 2-of-2
Model ArchitectureMPTForCausalLM
Licensecc-by-nc-sa-4.0
Model Max Length2048
Transformers Version4.28.1
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50432
Torch Data Typebfloat16
Mpt 7B Chat (mosaicml/mpt-7b-chat)

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Rank the Mpt 7B Chat Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v2024072803
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