grimjim/mistralai-Mistral-7B-Instruct-v0.3

TEXT GENERATIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:7BQuant:FP8Context Size:4kTool Calling:SupportedPublished:May 23, 2024License:apache-2.0Architecture:Transformer0.0K Open Weights Featherless Exclusive Cold

The grimjim/mistralai-Mistral-7B-Instruct-v0.3 is a 7 billion parameter instruction-tuned large language model developed by Mistral AI. This model is an instruct fine-tuned version of Mistral-7B-v0.3, featuring an extended vocabulary to 32768, support for a v3 Tokenizer, and integrated function calling capabilities. It is designed for conversational AI and instruction following tasks, offering enhanced interaction and tool use compared to its predecessors.

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Overview

The grimjim/mistralai-Mistral-7B-Instruct-v0.3 is an instruction-tuned large language model from Mistral AI, building upon the Mistral-7B-v0.3 base model. This iteration focuses on improving interactive capabilities and developer utility.

Key Capabilities

  • Extended Vocabulary: Features an expanded vocabulary of 32768 tokens, enhancing its linguistic coverage and understanding.
  • v3 Tokenizer Support: Utilizes an updated v3 Tokenizer, which can lead to more efficient and accurate tokenization.
  • Function Calling: A significant new feature, enabling the model to interact with external tools and APIs by generating structured function calls based on user prompts. This allows for more dynamic and integrated applications.
  • Instruction Following: Optimized for understanding and executing user instructions, making it suitable for various conversational AI tasks.

Good For

  • Chatbots and Conversational Agents: Its instruction-tuned nature and function calling make it well-suited for building interactive chat applications.
  • Tool-Augmented AI: Developers can leverage its function calling capabilities to integrate the model with external services, databases, or custom tools.
  • Prototyping and Development: Provides a robust base for experimenting with instruction-tuned models and exploring advanced AI functionalities like tool use.