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CodeLlama 70B Python Hf by codellama

 »  All LLMs  »  codellama  »  CodeLlama 70B Python 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-Python-hf 

CodeLlama 70B Python Hf Benchmarks

ARC: 55.12 vs 96.7 (so35)-43%
HellaSwag: 78.48 vs 95.3 (gpt4)-17.6%
MMLU: 56.17 vs 88.3 (so35)-36.4%
TruthfulQA: 41.78 vs 59 (gpt4)-29.2%
WinoGrande: 73.01 vs 87.5 (gpt4)-16.6%
GSM8K: 43.44 vs 96.4 (so35)-54.9%
HumanEvalA: 39.61
Python Eva: 55.49 vs 92 (so35)-39.7%
Java Eval: 45.96
Javascript: 56.52
CPP Eval: 49.69
PHP Eval: 52.8
Julia Eval: 35.4
D Eval: 21.12
Lua Eval: 44.72
R Eval: 26.09
Rust Eval: 48.45
Swift Eval: 39.13
LLME Score: 0.17918
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 70B Python Hf Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
Commercial and research
Applications:
Code synthesis and understanding, Python programming language handling, Code assistant and generation applications
Primary Use Cases:
Code synthesis, Python specialized code tasks
Limitations:
Applicable only for English and relevant programming languages., Does not support long context of up to 100k tokens.
Considerations:
See the Responsible Use Guide: https://ai.meta.com/llama/responsible-use-guide
Additional Notes 
This is the repository for the 70B Python specialist version in the Hugging Face Transformers format. Model capacities include code completion and Python specialization.
Training Details 
Methodology:
Fine-tuned with up to 16k tokens.
Context Length:
16000
Training Time:
not specified
Hardware Used:
A100-80GB GPUs
Model Architecture:
Auto-regressive transformer architecture, optimized transformer architecture.
Input Output 
Input Format:
Text only
Output Format:
Text only
LLM NameCodeLlama 70B Python Hf
Repository 🤗https://huggingface.co/codellama/CodeLlama-70b-Python-hf 
Model Size70b
Required VRAM77 GB
Updated2025-06-11
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 Length4096
Model Max Length4096
Transformers Version4.37.1
Vocabulary Size32016
Torch Data Typebfloat16
CodeLlama 70B Python Hf (codellama/CodeLlama-70b-Python-hf)

Quantized Models of the CodeLlama 70B Python Hf

Model
Likes
Downloads
VRAM
CodeLlama 70B Python GGUF43119225 GB
CodeLlama 70B Python GPTQ205835 GB
CodeLlama 70B Python AWQ52336 GB

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CodeLlama 70B Python Hf4K / 77 GB7712
Note: green Score (e.g. "73.2") means that the model is better than codellama/CodeLlama-70b-Python-hf.

Rank the CodeLlama 70B Python 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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