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CodeLlama 70B Hf by meta-llama

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CodeLlama 70B Hf is an open-source language model by meta-llama. Features: 70b LLM, VRAM: 77GB, Context: 16K, License: llama2, Code Generating, LLM Explorer Score: 0.13.

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

CodeLlama 70B Hf Benchmarks

LLME Score: 0.12678
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 (meta-llama/CodeLlama-70b-hf)
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CodeLlama 70B Hf Parameters and Internals

Model Type 
Generative text model, Code synthesis
Use Cases 
Areas:
Commercial, Research
Applications:
Code synthesis and understanding, Python programming language support, Code assistant and generation applications
Primary Use Cases:
Commercial and research use in code synthesis and understanding
Limitations:
Not tested exhaustively in languages other than English or in all possible scenarios, May produce inaccurate or objectionable outcomes
Considerations:
Safety testing and tuning should be performed before deploying applications.
Additional Notes 
Code Llama models are developed and released by Meta. They are available in sizes of 7B, 13B, 34B, and 70B parameters. See the Responsible Use Guide on the provided URL for more guidance.
Supported Languages 
languages_supported (English and programming languages), proficiency_levels (High)
Training Details 
Data Sources:
Offline datasets
Methodology:
Fine-tuned with up to 16k tokens; supports up to 100k tokens at inference time.
Context Length:
100000
Hardware Used:
A100-80GB GPUs
Model Architecture:
Auto-regressive language model using optimized transformer architecture
Safety Evaluation 
Methodologies:
Safety evaluations as described in Section 4 of the research paper
Ethical Considerations:
Ethical considerations include risks associated with a new technology that may produce inaccurate or objectionable outputs.
Input Output 
Input Format:
Text
Output Format:
Text
LLM NameCodeLlama 70B Hf
Repository 🤗https://huggingface.co/meta-llama/CodeLlama-70b-hf 
Model Size70b
Required VRAM77 GB
Updated2026-04-10
Maintainermeta-llama
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

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Note: green Score (e.g. "73.2") means that the model is better than meta-llama/CodeLlama-70b-hf.

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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