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Gpt4all J by nomic-ai

 »  All LLMs  »  nomic-ai  »  Gpt4all J   URL Share it on

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  Autotrain compatible Dataset:nomic-ai/gpt4all-j-pro...   En   Endpoints compatible   Gptj   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nomic-ai/gpt4all-j 

Gpt4all J Benchmarks

ARC: 41.3 vs 96.7 (so35)-57.3%
HellaSwag: 64.51 vs 95.3 (gpt4)-32.3%
MMLU: 29.03 vs 88.3 (so35)-67.1%
TruthfulQA: 45.72 vs 59 (gpt4)-22.5%
WinoGrande: 64.33 vs 87.5 (gpt4)-26.5%
GSM8K: 9.25 vs 96.4 (so35)-90.4%
LLME Score: 0.16849
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gpt4all J (nomic-ai/gpt4all-j)

Gpt4all J Parameters and Internals

Model Type 
text generation, chatbot
Use Cases 
Areas:
Research, Commercial Applications
Supported Languages 
English (NLP)
Training Details 
Data Sources:
nomic-ai/gpt4all-j-prompt-generations
Methodology:
finetuning from GPT-J on assistant style interaction data
Training Time:
~12 hours
Hardware Used:
DGX cluster with 8 A100 80GB GPUs
Model Architecture:
GPT-J finetuned
Release Notes 
Version:
v1.0
Notes:
The original model trained on the v1.0 dataset.
Version:
v1.1-breezy
Notes:
Trained on filtered dataset removing instances of 'AI language model'.
Version:
v1.2-jazzy
Notes:
Trained on further filtered dataset, removing specific phrases.
Version:
v1.3-groovy
Notes:
Incorporated Dolly and ShareGPT data, filtered duplicate semantic data.
LLM NameGpt4all J
Repository 🤗https://huggingface.co/nomic-ai/gpt4all-j 
Model Size6b
Required VRAM12.2 GB
Updated2025-01-20
Maintainernomic-ai
Model Typegptj
Model Files  10.0 GB: 1-of-2   2.2 GB: 2-of-2   12.2 GB: 1-of-2   12.1 GB: 2-of-2
Supported Languagesen
Model ArchitectureGPTJForCausalLM
Licenseapache-2.0
Model Max Length2048
Transformers Version4.28.0.dev0
Tokenizer ClassGPT2Tokenizer
Beginning of Sentence Token<|endoftext|>
End of Sentence Token<|endoftext|>
Unk Token<|endoftext|>
Vocabulary Size50400
Torch Data Typebfloat16
Activation Functiongelu_new
Errorsreplace

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

Rank the Gpt4all J 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 v20241227
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