CodeLlama 7B Python Hf by meta-llama

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  Arxiv:2308.12950   Autotrain compatible   Code   Codegen   Endpoints compatible   Facebook   Llama   Llama2   Meta   Pytorch   Region:us   Safetensors   Sharded   Tensorflow

CodeLlama 7B Python Hf Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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CodeLlama 7B Python Hf Parameters and Internals

Model Type 
text generation, code synthesis
Use Cases 
Areas:
Commercial, Research
Applications:
Code synthesis, Code understanding
Primary Use Cases:
Python code generation
Limitations:
Cannot be used in violation of applicable laws, English only
Considerations:
Safety testing and tuning required before deployment
Additional Notes 
Designed for general code synthesis and understanding. Specialized in Python as Code Llama - Python.
Supported Languages 
English (full proficiency)
Training Details 
Data Sources:
Same data as Llama 2 with different weights
Methodology:
Pretrained and fine-tuned using custom libraries on Meta’s Research Super Cluster
Hardware Used:
A100-80GB GPUs
Model Architecture:
Optimized transformer architecture
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text
LLM NameCodeLlama 7B Python Hf
Repository πŸ€—https://huggingface.co/meta-llama/CodeLlama-7b-Python-hf 
Model Size7b
Required VRAM13.5 GB
Updated2025-06-09
Maintainermeta-llama
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2   4.9 GB: 1-of-3   5.0 GB: 2-of-3   3.6 GB: 3-of-3
Supported Languagescode
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length16384
Model Max Length16384
Transformers Version4.33.0.dev0
Tokenizer ClassCodeLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16
CodeLlama 7B Python Hf (meta-llama/CodeLlama-7b-Python-hf)

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Note: green Score (e.g. "73.2") means that the model is better than meta-llama/CodeLlama-7b-Python-hf.

Rank the CodeLlama 7B Python Hf 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