Ct2fast Pythia 2.8B by michaelfeil

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  Arxiv:2101.00027   Arxiv:2201.07311   Ctranslate2   Dataset:the pile   En   Endpoints compatible   Float16   Int8   Pythia   Pytorch   Region:us

Ct2fast Pythia 2.8B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ct2fast Pythia 2.8B (michaelfeil/ct2fast-pythia-2.8b)

Ct2fast Pythia 2.8B Parameters and Internals

Model Type 
Transformer-based Language Model
Use Cases 
Areas:
Research
Applications:
Scientific experiments
Primary Use Cases:
Evaluating the behavior of large language models
Limitations:
Not suitable for deployment, Not suitable for human-facing interactions, May generate harmful or offensive text
Considerations:
Ensure your use is in accordance with the Apache 2.0 license.
Additional Notes 
This is a quantized version with conditions identical to the original Hugging Face repository.
Supported Languages 
English (Full proficiency)
Training Details 
Data Sources:
The Pile
Data Volume:
299,892,736,000 tokens
Model Architecture:
Transformer
Release Notes 
Version:
Current Release
Date:
2023-01
Notes:
Revised naming convention and parameter count.
LLM NameCt2fast Pythia 2.8B
Repository ๐Ÿค—https://huggingface.co/michaelfeil/ct2fast-pythia-2.8b 
Model Size2.8b
Required VRAM5.5 GB
Updated2025-02-22
Maintainermichaelfeil
Model Files  5.5 GB
Supported Languagesen
Model ArchitectureAutoModel
Licenseapache-2.0
Tokenizer ClassGPTNeoXTokenizer

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Note: green Score (e.g. "73.2") means that the model is better than michaelfeil/ct2fast-pythia-2.8b.

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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