Platypus2 13B AWQ is an open-source language model by TheBloke. Features: 13b LLM, VRAM: 7.2GB, Context: 4K, License: cc-by-nc-sa-4.0, Quantized, LLM Explorer Score: 0.09.
Platypus-13B is an instruction fine-tuned model with efficient, low-bit weight quantization method AWQ for faster inference.
Supported Languages
en (English)
Training Details
Data Sources:
STEM and logic based dataset
Methodology:
Instruction fine-tuned using LoRA
Hardware Used:
1 A100 80GB GPU
Model Architecture:
LLaMA2 transformer
Input Output
Input Format:
```
Below is an instruction that describes a task. Write a response that appropriately completes the request.
### Instruction: {prompt}
### Response:
```
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Platypus2-13B-AWQ.
Rank the Platypus2 13B AWQ 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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