Catlm by nikitharao

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  Arxiv:2310.01602   Autotrain compatible   Endpoints compatible   Gpt neox   Pytorch   Region:us
Model Card on HF ๐Ÿค—: https://huggingface.co/nikitharao/catlm 

Catlm Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Catlm (nikitharao/catlm)

Catlm Parameters and Internals

Model Type 
GPT-style, Language Model
Additional Notes 
The model was trained without the ~~ token and should be removed.
Training Details 
Data Sources:
Python projects, Java projects
Data Volume:
~260GB
Methodology:
Novel pretraining signal that considers the mapping between code and test files
Context Length:
8192
Model Architecture:
GPT-style
LLM NameCatlm
Repository ๐Ÿค—https://huggingface.co/nikitharao/catlm 
Required VRAM7.8 GB
Updated2025-02-22
Maintainernikitharao
Model Typegpt_neox
Model Files  7.8 GB
Model ArchitectureGPTNeoXForCausalLM
Licensemit
Context Length8192
Model Max Length8192
Transformers Version4.24.0
Tokenizer ClassT5Tokenizer
Padding Token<pad>
Vocabulary Size64000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than nikitharao/catlm.

Rank the Catlm Capabilities

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

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