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GPT NEO 2.7B Text Style Transfer Using Examples by Suppi123

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  Autotrain compatible   Endpoints compatible   Gpt neo   Pytorch   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Suppi123/GPT-NEO-2.7B-Text-Style-Transfer-Using-Examples 

GPT NEO 2.7B Text Style Transfer Using Examples Benchmarks

LLME Score: 0.10857
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GPT NEO 2.7B Text Style Transfer Using Examples (Suppi123/GPT-NEO-2.7B-Text-Style-Transfer-Using-Examples)

GPT NEO 2.7B Text Style Transfer Using Examples Parameters and Internals

LLM NameGPT NEO 2.7B Text Style Transfer Using Examples
Repository 🤗https://huggingface.co/Suppi123/GPT-NEO-2.7B-Text-Style-Transfer-Using-Examples 
Model Size2.7b
Required VRAM5.4 GB
Updated2025-02-22
MaintainerSuppi123
Model Typegpt_neo
Model Files  5.4 GB   5.4 GB
Model ArchitectureGPTNeoForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.16.2
Tokenizer ClassGPT2Tokenizer
Vocabulary Size50257
Torch Data Typefloat32
Activation Functiongelu_new

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Note: green Score (e.g. "73.2") means that the model is better than Suppi123/GPT-NEO-2.7B-Text-Style-Transfer-Using-Examples.

Rank the GPT NEO 2.7B Text Style Transfer Using Examples 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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