code synthesis and understanding tasks, handle the Python programming language
Limitations:
Use in any manner that violates applicable laws or regulations, Use in languages other than English
Considerations:
Developers should perform safety testing and tuning tailored to specific applications.
Supported Languages
English (proficient)
Training Details
Data Sources:
same data as Llama 2 with different weights
Context Length:
100000
Hardware Used:
A100-80GB (TDP of 350-400W)
Model Architecture:
autoregressive language models using optimized transformer architectures
Safety Evaluation
Ethical Considerations:
Testing conducted to date has been in English and has not covered all scenarios. Outputs cannot be predicted in advance and may be inaccurate or objectionable.
Input Output
Input Format:
text only
Accepted Modalities:
text
Output Format:
text only
Performance Tips:
Load the FP16 models with `trust_remote_code=True` for correct results.
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/CodeLlama-13B-fp16.
Rank the CodeLlama 13B Fp16 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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