Codellama 7B Instruct GGUF is an open-source language model by DevShubham. Features: 13b LLM, VRAM: 2.8GB, License: llama2, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.14.
Codellama 7B Instruct GGUF Parameters and Internals
Model Type
llama
Use Cases
Areas:
commercial, research
Primary Use Cases:
code synthesis, understanding tasks
Limitations:
Use in languages other than English, Use in violation of applicable laws
Considerations:
Refer to the Responsible Use Guide
Additional Notes
In aggregate, training all 9 Code Llama models required 400K GPU hours of computation, and the estimated total emissions were 65.3 tCO2eq, 100% offset by Meta’s sustainability program.
Training Details
Data Sources:
same data as Llama 2 with different weights
Hardware Used:
A100-80GB (TDP of 350-400W)
Model Architecture:
auto-regressive language model using an optimized transformer architecture
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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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