GPT J 6B by d-matrix

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  Autotrain compatible   Custom code   Endpoints compatible   Gptj   Model-index   Pytorch   Region:us
Model Card on HF ๐Ÿค—: https://huggingface.co/d-matrix/gpt-j-6b 

GPT J 6B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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GPT J 6B Parameters and Internals

Model Type 
causal-lm
Additional Notes 
The model contains configurations such as BASELINE which is functionally equivalent to the original and BASIC where operations are quantized to BFP16-64.
LLM NameGPT J 6B
Repository ๐Ÿค—https://huggingface.co/d-matrix/gpt-j-6b 
Model Size6b
Required VRAM24.2 GB
Updated2024-12-04
Maintainerd-matrix
Model Typegptj
Model Files  24.2 GB
Supported Languagesen
Model ArchitectureGPTJForCausalLM
Licenseapache-2.0
Model Max Length2048
Tokenizer ClassGPT2Tokenizer
Beginning of Sentence Token<|endoftext|>
End of Sentence Token<|endoftext|>
Unk Token<|endoftext|>
Vocabulary Size50400
Activation Functiongelu_new
Errorsreplace
GPT J 6B (d-matrix/gpt-j-6b)

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Note: green Score (e.g. "73.2") means that the model is better than d-matrix/gpt-j-6b.

Rank the GPT J 6B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
Text Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124