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CodeLlama 70B Hf by codellama

 »  All LLMs  »  codellama  »  CodeLlama 70B Hf   URL Share it on

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  Arxiv:2308.12950   Autotrain compatible   Code   Codegen   Endpoints compatible   Llama   Llama2   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/codellama/CodeLlama-70b-hf 

CodeLlama 70B Hf Benchmarks

LMSys ELO: 1038 vs 1272 (so35)-18.4%
ARC: 56.74 vs 96.7 (so35)-41.3%
HellaSwag: 78.21 vs 95.3 (gpt4)-17.9%
MMLU: 59.67 vs 88.3 (so35)-32.4%
TruthfulQA: 39.79 vs 59 (gpt4)-32.6%
WinoGrande: 75.22 vs 87.5 (gpt4)-14%
GSM8K: 43.97 vs 96.4 (so35)-54.4%
HumanEvalA: 39.93
Python Eva: 52.44 vs 92 (so35)-43%
Java Eval: 44.72
Javascript: 56.52
CPP Eval: 49.69
PHP Eval: 46.58
Julia Eval: 42.24
D Eval: 24.84
Lua Eval: 41.61
R Eval: 27.95
Rust Eval: 49.69
Swift Eval: 42.86
LLME Score: 0.26464
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CodeLlama 70B Hf (codellama/CodeLlama-70b-hf)

CodeLlama 70B Hf Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
commercial, research
Applications:
code synthesis, understanding tasks, Python programming, code assistant and generation
Limitations:
Use in languages other than English
Additional Notes 
Code Llama is a non-official repository in Hugging Face format. Training involved 1400K GPU hours with offset emissions.
Supported Languages 
English (high proficiency)
Training Details 
Context Length:
16000
Model Architecture:
Auto-regressive language model using an optimized transformer architecture
Input Output 
Input Format:
text only
Output Format:
text
LLM NameCodeLlama 70B Hf
Repository 🤗https://huggingface.co/codellama/CodeLlama-70b-hf 
Model Size70b
Required VRAM77 GB
Updated2025-06-01
Maintainercodellama
Model Typellama
Model Files  4.7 GB: 1-of-29   4.7 GB: 2-of-29   5.0 GB: 3-of-29   5.0 GB: 4-of-29   4.7 GB: 5-of-29   4.7 GB: 6-of-29   4.7 GB: 7-of-29   5.0 GB: 8-of-29   5.0 GB: 9-of-29   4.7 GB: 10-of-29   4.7 GB: 11-of-29   4.7 GB: 12-of-29   5.0 GB: 13-of-29   5.0 GB: 14-of-29   4.7 GB: 15-of-29   4.7 GB: 16-of-29   4.7 GB: 17-of-29   5.0 GB: 18-of-29   5.0 GB: 19-of-29   4.7 GB: 20-of-29   4.7 GB: 21-of-29   4.7 GB: 22-of-29   5.0 GB: 23-of-29   5.0 GB: 24-of-29   4.7 GB: 25-of-29   4.7 GB: 26-of-29   4.7 GB: 27-of-29   5.0 GB: 28-of-29   3.8 GB: 29-of-29   4.7 GB: 1-of-29   4.7 GB: 2-of-29   5.0 GB: 3-of-29   5.0 GB: 4-of-29   4.7 GB: 5-of-29   4.7 GB: 6-of-29   4.7 GB: 7-of-29   5.0 GB: 8-of-29   5.0 GB: 9-of-29   4.7 GB: 10-of-29   4.7 GB: 11-of-29   4.7 GB: 12-of-29   5.0 GB: 13-of-29   5.0 GB: 14-of-29   4.7 GB: 15-of-29   4.7 GB: 16-of-29
Supported Languagescode
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length16384
Model Max Length16384
Transformers Version4.37.1
Vocabulary Size32016
Torch Data Typebfloat16

Quantized Models of the CodeLlama 70B Hf

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VRAM
CodeLlama 70B Hf GGUF4234025 GB
CodeLlama 70B Hf GPTQ101535 GB
CodeLlama 70B Hf AWQ41136 GB
CodeLLaMA 70B Hf Fp16210138 GB

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Rank the CodeLlama 70B Hf Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Release v20241227
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