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CodeLlama 7B Instruct GGUF by TheBloke

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CodeLlama 7B Instruct GGUF is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 2.8GB, License: llama2, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.13.

  Arxiv:2308.12950   Code   Codegen   Gguf   Instruct   Llama   Llama2   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/CodeLlama-7B-Instruct-GGUF 

CodeLlama 7B Instruct GGUF Benchmarks

LLME Score: 0.13072
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CodeLlama 7B Instruct GGUF (TheBloke/CodeLlama-7B-Instruct-GGUF)
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CodeLlama 7B Instruct GGUF Parameters and Internals

Model Type 
text-generation
Use Cases 
Limitations:
Use in languages other than English., Use in violation of laws or in prohibited ways.
Training Details 
Hardware Used:
A100-80GB
Model Architecture:
optimized transformer architecture
Input Output 
Input Format:
Models input text only.
Output Format:
Models generate text only.
LLM NameCodeLlama 7B Instruct GGUF
Repository 🤗https://huggingface.co/TheBloke/CodeLlama-7B-Instruct-GGUF 
Model NameCodeLlama 7B Instruct
Model CreatorMeta
Base Model(s)  codellama/CodeLlama-7b-instruct-hf   codellama/CodeLlama-7b-instruct-hf
Model Size7b
Required VRAM2.8 GB
Updated2026-06-08
MaintainerTheBloke
Model Typellama
Instruction-BasedYes
Model Files  2.8 GB   3.6 GB   3.3 GB   3.0 GB   3.8 GB   4.1 GB   3.9 GB   4.7 GB   4.8 GB   4.7 GB   5.5 GB   7.2 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-7B-Instruct-GGUF.

Rank the CodeLlama 7B Instruct GGUF 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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