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CodeLlama 70B Instruct Hf by meta-llama

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CodeLlama 70B Instruct Hf is an open-source language model by meta-llama. Features: 70b LLM, VRAM: 72.3GB, Context: 4K, License: llama2, Instruction-Based, Code Generating, LLM Explorer Score: 0.24, ELO: 1118.

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

CodeLlama 70B Instruct Hf Benchmarks

LMSys ELO: 1118 vs 1272 (so35)-12.1%
LLME Score: 0.24193
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CodeLlama 70B Instruct Hf (meta-llama/CodeLlama-70b-Instruct-hf)
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CodeLlama 70B Instruct Hf Parameters and Internals

Model Type 
Generative Text Model, Text Generation
Use Cases 
Areas:
Commercial, Research
Applications:
Code Synthesis, Code Understanding
Primary Use Cases:
Code assistant and generation applications
Limitations:
Use in languages other than English, Use cases that violate acceptable use policy
Considerations:
Perform safety testing and tuning before deployment
Additional Notes 
Training carbon footprint is offset by Meta's sustainability program, ensuring environmentally responsible model training.
Supported Languages 
English (Advanced), Programming Languages (Advanced)
Training Details 
Methodology:
Optimized transformer architecture, fine-tuned with up to 16k tokens.
Context Length:
16000
Model Architecture:
Auto-regressive language model
Input Output 
Input Format:
Text input
Accepted Modalities:
Text
Output Format:
Text output
Release Notes 
Version:
70B
Notes:
Instruct version with chat and text generation capabilities, optimized for safe deployments in code-related tasks.
LLM NameCodeLlama 70B Instruct Hf
Repository 🤗https://huggingface.co/meta-llama/CodeLlama-70b-Instruct-hf 
Model Size70b
Required VRAM72.3 GB
Updated2026-04-26
Maintainermeta-llama
Model Typellama
Instruction-BasedYes
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
Supported Languagescode
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.37.1
Vocabulary Size32016
Torch Data Typebfloat16

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Rank the CodeLlama 70B Instruct 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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