Gpt4all Mpt by nomic-ai

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  Autotrain compatible   Custom code Dataset:nomic-ai/gpt4all-j-pro...   En   Endpoints compatible   Mpt   Pytorch   Region:us   Sharded
Model Card on HF ๐Ÿค—: https://huggingface.co/nomic-ai/gpt4all-mpt 

Gpt4all Mpt Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gpt4all Mpt (nomic-ai/gpt4all-mpt)
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Gpt4all Mpt Parameters and Internals

Model Type 
A finetuned MPT-7B model on assistant style interaction data
Supported Languages 
en (NLP)
Training Details 
Data Sources:
nomic-ai/gpt4all-j-prompt-generations
Methodology:
finetuned from MPT 7B
LLM NameGpt4all Mpt
Repository ๐Ÿค—https://huggingface.co/nomic-ai/gpt4all-mpt 
Required VRAM26.6 GB
Updated2025-09-23
Maintainernomic-ai
Model Typempt
Model Files  10.0 GB: 1-of-3   9.9 GB: 2-of-3   6.7 GB: 3-of-3
Supported Languagesen
Model ArchitectureMPTForCausalLM
Licenseapache-2.0
Model Max Length2048
Transformers Version4.28.1
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50432
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than nomic-ai/gpt4all-mpt.

Rank the Gpt4all Mpt 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124