kimwooglae/AISquare-Instruct-SOLAR-10.7b-v0.5.32
TEXT GENERATIONPricing:Input $0.431 / Cached $0.0862 / Output $1.12Concurrent Unit Cost:1Model Size:10.7BQuant:FP8Context Size:4kPublished:Jan 22, 2024License:cc-by-nc-4.0Architecture:Transformer Open Weights Featherless Exclusive Warm
AISquare-Instruct-SOLAR-10.7b-v0.5.32 is a 10.7 billion parameter instruction-tuned causal language model developed by Inswave Systems, based on the SOLAR-10.7B-v1.0 architecture. This model is designed for general instruction-following tasks, leveraging its base model's capabilities for efficient processing. With a context length of 4096 tokens, it is suitable for applications requiring robust conversational AI and text generation.
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AISquare-Instruct-SOLAR-10.7b-v0.5.32 Overview
This model, developed by the Inswave Systems UI Platform Team, is an instruction-tuned variant of the upstage/SOLAR-10.7B-v1.0 base model. It features 10.7 billion parameters and is designed to follow instructions effectively for various natural language processing tasks.
Key Capabilities
- Instruction Following: Optimized for understanding and executing user instructions, making it suitable for conversational agents and task automation.
- Text Generation: Capable of generating coherent and contextually relevant text based on prompts.
- Efficient Processing: Leverages the SOLAR-10.7B-v1.0 architecture, known for its efficient performance in its parameter class.
Good For
- General Purpose AI: Ideal for a wide range of applications requiring a capable instruction-tuned language model.
- Conversational AI: Can be integrated into chatbots and virtual assistants for improved interaction quality.
- Text Summarization and Q&A: Suitable for tasks that involve processing and generating concise information from given texts.