vihangd/smartyplats-7b-v2
SmartyPlats-7b-v2 is an experimental 7 billion parameter language model developed by vihangd, based on the Mistral architecture. This model is fine-tuned using QLoRA on Alpaca-style datasets, making it suitable for instruction-following tasks. It utilizes an Alpaca-style prompt template, optimizing its performance for conversational and command-based interactions.
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SmartyPlats-7b-v2 Overview
SmartyPlats-7b-v2 is an experimental 7 billion parameter language model developed by vihangd. It is built upon the Mistral 7B architecture and has been fine-tuned using the QLoRA method. This fine-tuning process leverages Alpaca-style datasets, which are known for their instruction-following capabilities.
Key Capabilities
- Instruction Following: Optimized for understanding and executing commands or instructions provided in natural language.
- Alpaca Prompt Template: Designed to work seamlessly with Alpaca-style prompt formats, ensuring consistent and effective interaction.
- Experimental Fine-tune: Represents an ongoing development, offering insights into the performance of Mistral 7B with specific fine-tuning approaches.
Good For
- Instruction-based tasks: Ideal for applications requiring the model to respond to direct instructions or questions.
- Conversational AI: Suitable for building chatbots or interactive agents that follow a clear dialogue structure.
- Research and Experimentation: A valuable base for further fine-tuning or exploring the impact of Alpaca-style data on Mistral models.
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.