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CodeLlama 7B 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 7B Hf Benchmarks

ARC: 39.93 vs 96.7 (so35)-58.7%
HellaSwag: 60.8 vs 95.3 (gpt4)-36.2%
MMLU: 31.12 vs 88.3 (so35)-64.8%
TruthfulQA: 37.82 vs 59 (gpt4)-35.9%
WinoGrande: 64.01 vs 87.5 (gpt4)-26.8%
GSM8K: 5.16 vs 96.4 (so35)-94.6%
HumanEvalA: 24.36
Python Eva: 29.98 vs 92 (so35)-67.4%
Java Eval: 29.2
Javascript: 31.8
CPP Eval: 27.23
PHP Eval: 25.17
Julia Eval: 25.6
D Eval: 11.6
Lua Eval: 30.36
R Eval: 18.04
Racket Eva: 11.94
Rust Eval: 25.82
Swift Eval: 25.52
LLME Score: 0.2879
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

CodeLlama 7B Hf Parameters and Internals

LLM NameCodeLlama 7B Hf
Repository 🤗https://huggingface.co/codellama/CodeLlama-7b-hf 
Model Size7b
Required VRAM13.5 GB
Updated2024-09-19
Maintainercodellama
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 Size32016
Torch Data Typebfloat16
CodeLlama 7B Hf (codellama/CodeLlama-7b-hf)

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

Rank the CodeLlama 7B 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 v2024072803
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