CodeLlama 13B Python Hf by codellama

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

CodeLlama 13B Python Hf Benchmarks

CodeLlama 13B Python Hf (codellama/CodeLlama-13b-Python-hf)

CodeLlama 13B Python Hf Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
Commercial
Primary Use Cases:
General code synthesis and understanding, Python programming language handling
Limitations:
Not tested for all scenarios, May produce inaccurate or objectionable responses
Considerations:
Users should be aware of potential unpredictable outputs and conduct safety testing.
Additional Notes 
Designed for general code synthesis and understanding with a specialization in Python.
Training Details 
Hardware Used:
Type A100-80GB
Model Architecture:
Auto-regressive language model optimized with transformer architecture
Responsible Ai Considerations 
Mitigation Strategies:
Developers should perform safety testing and tuning tailored to their specific applications of the model.
Input Output 
Input Format:
Text
Accepted Modalities:
text
Output Format:
Text
LLM NameCodeLlama 13B Python Hf
Repository ๐Ÿค—https://huggingface.co/codellama/CodeLlama-13b-Python-hf 
Model Size13b
Required VRAM26 GB
Updated2024-12-21
Maintainercodellama
Model Typellama
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   6.2 GB: 3-of-3   9.9 GB: 1-of-3   9.9 GB: 2-of-3   6.5 GB: 3-of-3
Supported Languagescode
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length16384
Model Max Length16384
Transformers Version4.32.0.dev0
Tokenizer ClassCodeLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the CodeLlama 13B Python Hf

Model
Likes
Downloads
VRAM
CodeLlama 13B Python Fp1625154726 GB

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Note: green Score (e.g. "73.2") means that the model is better than codellama/CodeLlama-13b-Python-hf.

Rank the CodeLlama 13B 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 v20241217