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Mpt 7B 8K 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/s2orc   Dataset:bigcode/the-stack   Dataset:c4   Dataset:mc4 Dataset:togethercomputer/redpa...   Ext 8k   Llm-foundry   Mosaicml   Mpt   Pytorch   Region:us   Sharded   Streamingdatasets

Mpt 7B 8K Benchmarks

ARC: 47.35 vs 96.7 (so35)-51%
HellaSwag: 77.4 vs 95.3 (gpt4)-18.8%
MMLU: 42.58 vs 88.3 (so35)-51.8%
TruthfulQA: 36.65 vs 59 (gpt4)-37.9%
WinoGrande: 71.11 vs 87.5 (gpt4)-18.7%
GSM8K: 8.34 vs 96.4 (so35)-91.3%
LLME Score: 0.19145
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 Parameters and Internals

LLM NameMpt 7B 8K
Repository 🤗https://huggingface.co/mosaicml/mpt-7b-8k 
Model Size7b
Required VRAM13.3 GB
Updated2024-09-08
Maintainermosaicml
Model Typempt
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 (mosaicml/mpt-7b-8k)

Quantized Models of the Mpt 7B 8K

Model
Likes
Downloads
VRAM
Mpt 7B Q81126 GB

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

Rank the Mpt 7B 8K 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  
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Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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