kimwooglae/AISquare-Instruct-SOLAR-10.7b-v0.5.31

TEXT GENERATIONConcurrency Cost:1Model Size:10.7BQuant:FP8Ctx Length:4kPublished:Jan 21, 2024License:cc-by-nc-4.0Architecture:Transformer Open Weights Cold

AISquare-Instruct-SOLAR-10.7b-v0.5.31 is a 10.7 billion parameter instruction-tuned causal language model developed by Inswave Systems. It is based on the upstage/SOLAR-10.7B-v1.0 architecture and features a 4096-token context length. This model is designed for general instruction-following tasks, leveraging its base model's capabilities for diverse applications.

Loading preview...

AISquare-Instruct-SOLAR-10.7b-v0.5.31 Overview

This model, developed by 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 supports a 4096-token context length, making it suitable for processing moderately long inputs and generating coherent responses.

Key Characteristics

  • Base Architecture: Built upon the SOLAR-10.7B-v1.0 model, known for its efficient architecture.
  • Instruction-Tuned: Optimized to follow instructions effectively, enabling it to perform a variety of NLP tasks based on user prompts.
  • Developer: Created by Inswave Systems, indicating a focus on practical application and integration.

Intended Use Cases

This model is well-suited for applications requiring a capable instruction-following language model, such as:

  • General-purpose chatbots and conversational AI.
  • Text generation tasks, including creative writing, summarization, and content creation.
  • Question answering and information extraction from provided contexts.
  • Code generation and explanation, leveraging its base model's potential.

Developers can easily integrate this model using the Hugging Face transformers library, as demonstrated in the provided implementation code snippet.

Finetunes
1 models