Dolphin Llama2 7B is an open-source language model by cognitivecomputations. Features: 7b LLM, VRAM: 13.5GB, Context: 4K, License: llama2, LLM Explorer Score: 0.09.
Detailed example outputs and system prompts provided in the model description.
Supported Languages
en (English)
Training Details
Data Sources:
Microsoft's Orca
Data Volume:
842,610 instructions of FLANv2 with GPT-4 completions and 2,625,353 instructions of FLANv2 with GPT-3.5 completions
Methodology:
Training followed submix and system prompt distribution with filters for uncensoring and cleaning. Used flan5m and flan1m datasets for different epochs.
Training Time:
400 hours
Hardware Used:
8x A100 GPUs
Responsible Ai Considerations
Fairness:
Dataset filtered to remove alignment and bias, requiring an additional alignment layer for ethical use.
Accountability:
Users are accountable for content generated using the model.
Input Output
Input Format:
Prompt format similar to Vicuna with additional SYSTEM field.
Accepted Modalities:
text
Output Format:
Text response based on detailed prompts.
Performance Tips:
Layer personalized alignment LoRA for safe deployment.
Note: green Score (e.g. "73.2") means that the model is better than cognitivecomputations/dolphin-llama2-7b.
Rank the Dolphin Llama2 7B 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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