Deberta Xxlarge Fixed by ltg

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  Arxiv:2406.04823   Autotrain compatible   Custom code   Deberta   En   Fill-mask   Pytorch   Region:us

Deberta Xxlarge Fixed Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Deberta Xxlarge Fixed (ltg/deberta-xxlarge-fixed)

Deberta Xxlarge Fixed Parameters and Internals

Model Type 
text-generation
Additional Notes 
DeBERTa has fixed the incorrect name of output embedding weights, implementation of EMD, and clamped positional embeddings for long sequences.
Supported Languages 
English (High)
Input Output 
Input Format:
Pre-tokenized input IDs
Accepted Modalities:
text
Output Format:
Text
Performance Tips:
Ensure GPU has CUDA support for optimal performance
LLM NameDeberta Xxlarge Fixed
Repository ๐Ÿค—https://huggingface.co/ltg/deberta-xxlarge-fixed 
Required VRAM3.1 GB
Updated2025-03-22
Maintainerltg
Model Files  3.1 GB
Supported Languagesen
Model ArchitectureDebertaV2ForCausalLM
Licensemit
Context Length512
Model Max Length512
Vocabulary Size128100

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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 v20241227