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Codellama 13B Instruct GGUF by DevShubham

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Codellama 13B Instruct GGUF is an open-source language model by DevShubham. Features: 13b LLM, VRAM: 13.8GB, License: llama2, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.13.

  Arxiv:2308.12950 Base model:codellama/codellama... Base model:quantized:codellama...   Code   Codegen   Gguf   Instruct   Llama   Llama2   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/DevShubham/Codellama-13B-Instruct-GGUF 

Codellama 13B Instruct GGUF Benchmarks

LLME Score: 0.13324
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Codellama 13B Instruct GGUF (DevShubham/Codellama-13B-Instruct-GGUF)
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Codellama 13B Instruct GGUF Parameters and Internals

Model Type 
llama
Use Cases 
Areas:
Commercial, Research
Limitations:
Use in any manner that violates applicable laws, Use in languages other than English, Prohibited uses by the Acceptable Use Policy
Additional Notes 
This is a static model trained on an offline dataset.
Training Details 
Model Architecture:
Auto-regressive language model using an optimized transformer architecture.
LLM NameCodellama 13B Instruct GGUF
Repository 🤗https://huggingface.co/DevShubham/Codellama-13B-Instruct-GGUF 
Model NameCodeLlama 13B Instruct
Model CreatorMeta
Base Model(s)  CodeLlama 13B Instruct Hf   codellama/CodeLlama-13b-Instruct-hf
Model Size13b
Required VRAM13.8 GB
Updated2026-04-25
MaintainerDevShubham
Model Typellama
Instruction-BasedYes
Model Files  13.8 GB
Supported Languagescode
GGUF QuantizationYes
Quantization Typegguf
Generates CodeYes
Model ArchitectureAutoModel
Licensellama2

Best Alternatives to Codellama 13B Instruct GGUF

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Codellama 7B Instruct GGUF0K / 2.8 GB2011
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...fast Codellama 13B Instruct Hf0K / 13 GB51
Note: green Score (e.g. "73.2") means that the model is better than DevShubham/Codellama-13B-Instruct-GGUF.

Rank the Codellama 13B 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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