Tiny Random GPTJForCausalLM by trl-internal-testing

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Tiny Random GPTJForCausalLM is an open-source language model by trl-internal-testing. Features: LLM, LLM Explorer Score: 0.1.

  Autotrain compatible   Endpoints compatible   Gptj   Pytorch   Region:us

Tiny Random GPTJForCausalLM Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tiny Random GPTJForCausalLM (trl-internal-testing/tiny-random-GPTJForCausalLM)

Tiny Random GPTJForCausalLM Parameters and Internals

LLM NameTiny Random GPTJForCausalLM
Repository ๐Ÿค—https://huggingface.co/trl-internal-testing/tiny-random-GPTJForCausalLM 
Required VRAM0 GB
Updated2024-11-25
Maintainertrl-internal-testing
Model Typegptj
Model Files  0.0 GB
Model ArchitectureGPTJForCausalLM
Transformers Version4.25.1
Vocabulary Size1024
Torch Data Typefloat32
Activation Functiongelu_new

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Note: green Score (e.g. "73.2") means that the model is better than trl-internal-testing/tiny-random-GPTJForCausalLM.

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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 v20260328a