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CodeLlama 70B Python Hf by codellama

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

  129   
  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: 0.16759
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CodeLlama 70B Python Hf (codellama/CodeLlama-70b-Python-hf)
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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
Updated2025-09-23
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

Quantized Models of the CodeLlama 70B Python Hf

Model
Likes
Downloads
VRAM
CodeLlama 70B Python GGUF44235125 GB
CodeLlama 70B Python GPTQ213235 GB
CodeLlama 70B Python AWQ51536 GB

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CodeLlama 70B Python Hf4K / 77 GB3412
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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