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CodeLlama 13B GGML by TheBloke

 »  All LLMs  »  TheBloke  »  CodeLlama 13B GGML   URL Share it on

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  Arxiv:2308.12950 Base model:codellama/codellama... Base model:finetune:codellama/...   Code   Codegen   Ggml   Llama   Llama2   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/CodeLlama-13B-GGML 

CodeLlama 13B GGML Benchmarks

LLME Score: 0.10897
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CodeLlama 13B GGML (TheBloke/CodeLlama-13B-GGML)
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CodeLlama 13B GGML Parameters and Internals

Model Type 
code synthesis, text generation
Use Cases 
Areas:
commercial, research
Limitations:
Code Llama’s potential outputs cannot be predicted in advance and may produce inaccurate or objectionable responses
Considerations:
Developers should perform safety testing and tuning tailored to their specific applications
Additional Notes 
The GGML format has now been superseded by GGUF.
Supported Languages 
language (English), proficiency_level (Relevant programming languages)
Training Details 
Data Sources:
same data as Llama 2 with different weights
Hardware Used:
Meta’s Research Super Cluster, A100-80GB GPUs
Model Architecture:
optimized transformer architecture
Input Output 
Input Format:
text only
Accepted Modalities:
text
Output Format:
text only
LLM NameCodeLlama 13B GGML
Repository 🤗https://huggingface.co/TheBloke/CodeLlama-13B-GGML 
Model NameCodeLlama 13B
Model CreatorMeta
Base Model(s)  CodeLlama 13B Hf   codellama/CodeLlama-13b-hf
Model Size13b
Required VRAM5.7 GB
Updated2025-08-17
MaintainerTheBloke
Model Typellama
Model Files  5.7 GB   7.1 GB   6.5 GB   5.9 GB   7.3 GB   8.1 GB   8.1 GB   7.6 GB   8.9 GB   9.8 GB   9.4 GB   9.2 GB   10.8 GB   13.8 GB
Supported Languagescode
GGML QuantizationYes
Quantization Typeggml
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-13B-GGML.

Rank the CodeLlama 13B GGML 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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