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Mpt 7B 8K Instruct by mosaicml

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  Arxiv:2010.04245   Arxiv:2108.12409   Arxiv:2205.14135   Autotrain compatible   Composer   Custom code   Dataset:competition math   Dataset:duorc   Dataset:emozilla/quality   Dataset:knkarthick/dialogsum   Dataset:mosaicml/dolly hhrlhf   Dataset:scrolls/summ screen fd   Dataset:spider   Ext 8k   Instruct   Llm-foundry   Mosaicml   Mpt   Pytorch   Region:us   Sharded

Mpt 7B 8K Instruct Benchmarks

ARC: 45.48 vs 96.7 (so35)-53%
HellaSwag: 74.41 vs 95.3 (gpt4)-21.9%
MMLU: 42.11 vs 88.3 (so35)-52.3%
TruthfulQA: 35.06 vs 59 (gpt4)-40.6%
WinoGrande: 65.51 vs 87.5 (gpt4)-25.1%
GSM8K: 20.55 vs 96.4 (so35)-78.7%
LLME Score: 0.17183
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mpt 7B 8K Instruct Parameters and Internals

LLM NameMpt 7B 8K Instruct
Repository 🤗https://huggingface.co/mosaicml/mpt-7b-8k-instruct 
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
Context Length8k
Model ArchitectureMPTForCausalLM
Licenseapache-2.0
Model Max Length8192
Transformers Version4.30.2
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50432
Torch Data Typebfloat16
Mpt 7B 8K Instruct (mosaicml/mpt-7b-8k-instruct)

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Note: green Score (e.g. "73.2") means that the model is better than mosaicml/mpt-7b-8k-instruct.

Rank the Mpt 7B 8K Instruct 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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