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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: 1056 vs 1272 (so35)-17%
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: 0.2605
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)
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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
Updated2025-09-26
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

Model
Likes
Downloads
VRAM
CodeLlama 70B Hf GGUF4270225 GB
CodeLlama 70B Hf GPTQ10735 GB
CodeLlama 70B Hf AWQ4636 GB
CodeLLaMA 70B Hf Fp1622138 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 v20241124
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