Python Code 13B GGUF by TheBloke

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Base model:ajibawa-2023/python... Base model:quantized:ajibawa-2...   Code Dataset:ajibawa-2023/python-co...   En   Gguf   Llama   Quantized   Region:us

Python Code 13B GGUF Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Python Code 13B GGUF (TheBloke/Python-Code-13B-GGUF)

Python Code 13B GGUF Parameters and Internals

Model Type 
llama
Additional Notes 
Trained using DeepSpeed on Azure infrastructure
Supported Languages 
en (High)
Training Details 
Data Sources:
GPT-3.5, GPT-4
Data Volume:
23000+ conversation sets
Methodology:
Trained on Llama-2
Training Time:
13 hours
Hardware Used:
4 x A100 80GB GPUs
LLM NamePython Code 13B GGUF
Repository ๐Ÿค—https://huggingface.co/TheBloke/Python-Code-13B-GGUF 
Model NamePython Code 13B
Model CreatorFeynman Innovations
Base Model(s)  Python Code 13B   ajibawa-2023/Python-Code-13B
Model Size13b
Required VRAM5.4 GB
Updated2025-02-22
MaintainerTheBloke
Model Typellama
Model Files  5.4 GB   6.9 GB   6.3 GB   5.7 GB   7.4 GB   7.9 GB   7.4 GB   9.0 GB   9.2 GB   9.0 GB   10.7 GB   13.8 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licensecc-by-nc-nd-4.0

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Python-Code-13B-GGUF.

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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