CodeLlama 7B Instruct GGML by TheBloke

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  Arxiv:2308.12950   Code   Codegen   Ggml   Instruct   Llama   Llama2   Quantized   Region:us

CodeLlama 7B Instruct GGML Benchmarks

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 GGML (TheBloke/CodeLlama-7B-Instruct-GGML)

CodeLlama 7B Instruct GGML Parameters and Internals

Model Type 
llama
Use Cases 
Areas:
Commercial, Research
Limitations:
Tested only in English and relevant programming languages, Potential for inaccurate or objectionable responses
Considerations:
Use should comply with applicable laws and not violate ethical guidelines.
Additional Notes 
The model is static and trained on an offline dataset. Future versions will enhance safety with community feedback.
Supported Languages 
languages (English and relevant programming languages), proficiency ()
Training Details 
Hardware Used:
A100-80GB GPUs
Model Architecture:
Optimized transformer architecture
Safety Evaluation 
Ethical Considerations:
Code Llama and its variants are a new technology that carries risks with use. As with all LLMs, the potential outputs cannot be predicted in advance, and the model may produce inaccurate or objectionable responses to user prompts.
Responsible Ai Considerations 
Mitigation Strategies:
Safety testing and tuning should be performed before deploying any applications of Code Llama.
Input Output 
Input Format:
Text input
Output Format:
Text output
LLM NameCodeLlama 7B Instruct GGML
Repository ๐Ÿค—https://huggingface.co/TheBloke/CodeLlama-7B-Instruct-GGML 
Model NameCodeLlama 7B Instruct
Model CreatorMeta
Base Model(s)  codellama/CodeLlama-7b-instruct-hf   codellama/CodeLlama-7b-instruct-hf
Model Size7b
Required VRAM3 GB
Updated2024-12-22
MaintainerTheBloke
Model Typellama
Instruction-BasedYes
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-Instruct-GGML.

Rank the CodeLlama 7B Instruct GGML 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217