Airoboros 65B GPT4 M2.0 GPTQ is an open-source language model by TheBloke. Features: 65b LLM, VRAM: 33.5GB, Context: 2K, License: other, Quantized, LLM Explorer Score: 0.09.
Airoboros 65B GPT4 M2.0 GPTQ Parameters and Internals
Model Type
llama, text generation
Use Cases
Areas:
research, academic use
Limitations:
No commercial use allowed, Uncertain legal stance regarding OpenAI API data use
Additional Notes
Quanitization conducted with AutoGPTQ for optimized VRAM and performance balance. Exploration of GPTQ parameters offered to adapt to various hardware setups.
Training Details
Data Sources:
airoboros-gpt4-2.0, airoboros-gpt4-m2.0
Methodology:
Instruction fine-tuning using synthetic instructions generated by airoboros with GPT-4, integrating data from March and June GPT-4 versions. Fine-tuned using QLoRA approach.
Context Length:
2048
Model Architecture:
LLaMA-based
Input Output
Input Format:
Prompt follows: A chat between a user and an assistant. USER: [prompt] ASSISTANT:
Accepted Modalities:
text
Output Format:
Detailed, comprehensive responses
Performance Tips:
Use proper formatting for closed-context queries to enhance response quality.
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Airoboros-65B-GPT4-m2.0-GPTQ.
Rank the Airoboros 65B GPT4 M2.0 GPTQ 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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