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CodeLlama 34B Instruct GGUF by TheBloke

 »  All LLMs  »  TheBloke  »  CodeLlama 34B Instruct GGUF   URL Share it on

  3287   
  Arxiv:2308.12950   Code   Codegen   Gguf   Instruct   Llama   Llama2   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/CodeLlama-34B-Instruct-GGUF 

CodeLlama 34B Instruct GGUF Benchmarks

LLME Score: 0.1733
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CodeLlama 34B Instruct GGUF (TheBloke/CodeLlama-34B-Instruct-GGUF)

CodeLlama 34B Instruct GGUF Parameters and Internals

Model Type 
llama
Use Cases 
Areas:
commercial and research use in English and relevant programming languages
Applications:
general code synthesis and understanding
Limitations:
Use in any manner that violates applicable laws or regulations (including trade compliance laws). Use in languages other than English.
Considerations:
Before deploying any applications of Code Llama, developers should perform safety testing and tuning tailored to their specific applications of the model.
Additional Notes 
Training all 9 Code Llama models required 400K GPU hours of computation. Estimated total emissions were 65.3 tCO2eq, 100% of which were offset by Meta’s sustainability program.
Training Details 
Methodology:
Code Llama is an auto-regressive language model that uses an optimized transformer architecture.
Hardware Used:
Meta’s Research Super Cluster.
Model Architecture:
auto-regressive language model with optimized transformer architecture.
LLM NameCodeLlama 34B Instruct GGUF
Repository 🤗https://huggingface.co/TheBloke/CodeLlama-34B-Instruct-GGUF 
Model NameCodeLlama 34B Instruct
Model CreatorMeta
Base Model(s)  codellama/CodeLlama-34b-instruct-hf   codellama/CodeLlama-34b-instruct-hf
Model Size34b
Required VRAM14.2 GB
Updated2024-12-22
MaintainerTheBloke
Model Typellama
Instruction-BasedYes
Model Files  14.2 GB   17.8 GB   16.3 GB   14.6 GB   19.1 GB   20.2 GB   19.1 GB   23.2 GB   23.8 GB   23.2 GB   27.7 GB   35.9 GB
Supported Languagescode
GGUF QuantizationYes
Quantization Typegguf
Generates CodeYes
Model ArchitectureAutoModel
Licensellama2

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/CodeLlama-34B-Instruct-GGUF.

Rank the CodeLlama 34B Instruct GGUF Capabilities

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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 v20241217
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