Gpt2 Xl Lima by lgaalves

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  Autotrain compatible   Dataset:gair/lima   En   Endpoints compatible   Gpt2   Pytorch   Region:us   Safetensors
Model Card on HF ๐Ÿค—: https://huggingface.co/lgaalves/gpt2-xl_lima 

Gpt2 Xl Lima Benchmarks

Gpt2 Xl Lima (lgaalves/gpt2-xl_lima)

Gpt2 Xl Lima Parameters and Internals

Model Type 
auto-regressive, language model
Use Cases 
Areas:
research, commercial applications
Primary Use Cases:
text generation
Limitations:
may produce false information, contains unfiltered content from the internet
Supported Languages 
en (proficient)
Training Details 
Data Sources:
GAIR/lima
Methodology:
instruction fine-tuning using LoRA
Training Time:
10 minutes
Hardware Used:
1 Tesla V100-SXM2-16GB
Model Architecture:
GPT-2 transformer architecture
Input Output 
Accepted Modalities:
text
Output Format:
text
LLM NameGpt2 Xl Lima
Repository ๐Ÿค—https://huggingface.co/lgaalves/gpt2-xl_lima 
Model Size1.6b
Required VRAM3.1 GB
Updated2024-12-21
Maintainerlgaalves
Model Typegpt2
Model Files  3.1 GB   3.1 GB
Supported Languagesen
Model ArchitectureGPT2LMHeadModel
Licensemit
Model Max Length1024
Transformers Version4.34.0
Tokenizer ClassGPT2Tokenizer
Vocabulary Size50257
Torch Data Typefloat16
Activation Functiongelu_new

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Note: green Score (e.g. "73.2") means that the model is better than lgaalves/gpt2-xl_lima.

Rank the Gpt2 Xl Lima 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217