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CodeLlama 7B GGML by TheBloke

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CodeLlama 7B GGML is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 3GB, License: llama2, Quantized, Code Generating, LLM Explorer Score: 0.09.

  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-7B-GGML 

CodeLlama 7B GGML Benchmarks

LLME Score: 0.08784
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CodeLlama 7B GGML (TheBloke/CodeLlama-7B-GGML)
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CodeLlama 7B GGML Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Commercial, Research
Applications:
Code synthesis, Code understanding
Primary Use Cases:
Python language handling, Code assistant and generation applications
Limitations:
Use in any manner that violates applicable laws or regulations, Use in languages other than English
Training Details 
Data Sources:
LLama 2 dataset
Hardware Used:
Meta’s Research Super Cluster
Model Architecture:
Auto-regressive language model
Responsible Ai Considerations 
Mitigation Strategies:
Developers should perform safety testing and tuning tailored to their specific applications of the model.
Input Output 
Input Format:
Text only
Output Format:
Text only
LLM NameCodeLlama 7B GGML
Repository 🤗https://huggingface.co/TheBloke/CodeLlama-7B-GGML 
Model NameCodeLlama 7B
Model CreatorMeta
Base Model(s)  CodeLlama 7B Hf   codellama/CodeLlama-7b-hf
Model Size7b
Required VRAM3 GB
Updated2026-06-02
MaintainerTheBloke
Model Typellama
Model Files  3.0 GB   3.8 GB   3.5 GB   3.1 GB   3.8 GB   4.2 GB   4.2 GB   4.0 GB   4.6 GB   5.1 GB   4.9 GB   4.8 GB   5.7 GB   7.2 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-7B-GGML.

Rank the CodeLlama 7B 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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