GPT Neo 1.3B Apps by flax-community

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  Arxiv:2107.03374   Autotrain compatible   Code synthesis   Dataset:apps   Endpoints compatible   Gpt neo   Jax   Pytorch   Region:us

GPT Neo 1.3B Apps Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GPT Neo 1.3B Apps (flax-community/gpt-neo-1.3B-apps)
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GPT Neo 1.3B Apps Parameters and Internals

Model Type 
code synthesis
Use Cases 
Areas:
research, programming
Applications:
solve programming tasks
Primary Use Cases:
Solving programming problems from text descriptions
Limitations:
Biases due to training data formatting, May generate incorrect solutions
Considerations:
Users should evaluate generated code properly to avoid introducing bugs or security vulnerabilities.
Training Details 
Data Sources:
APPS dataset
Data Volume:
10,000 coding problems with 131,836 test cases and 232,444 solutions
Methodology:
Fine-tuning
Context Length:
1024
Input Output 
Input Format:
Text prompt describing a problem, possibly with starter code
Accepted Modalities:
text
Output Format:
Generated code solution in text
Performance Tips:
Ensure prompt formatting is consistent with training data for best performance.
LLM NameGPT Neo 1.3B Apps
Repository ๐Ÿค—https://huggingface.co/flax-community/gpt-neo-1.3B-apps 
Model Size1.3b
Required VRAM5.3 GB
Updated2025-09-14
Maintainerflax-community
Model Typegpt_neo
Model Files  5.3 GB
Supported Languagesen python
Model ArchitectureGPTNeoForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.9.0.dev0
Tokenizer ClassGPT2Tokenizer
Beginning of Sentence Token<|endoftext|>
End of Sentence Token<|endoftext|>
Unk Token<|endoftext|>
Vocabulary Size50257
Activation Functiongelu_new
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than flax-community/gpt-neo-1.3B-apps.

Rank the GPT Neo 1.3B Apps 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 v20241124