0-hero/Matter-0.1-7B-boost
The 0-hero/Matter-0.1-7B-boost is a 7 billion parameter language model, fine-tuned from a Mistral 7B base, developed by 0-hero. This model is specifically trained on the extensive Matter dataset, curated from over 35 datasets and analyzing more than 6 billion tokens, with an additional boost finetuning. It is optimized for general conversational tasks and notably supports advanced function calling capabilities, making it suitable for applications requiring external tool interaction.
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Matter-0.1-7B-boost Overview
The 0-hero/Matter-0.1-7B-boost is a 7 billion parameter language model, building upon the Mistral 7B architecture. It has undergone a full fine-tuning process using the proprietary Matter dataset, which is an extensive collection derived from over 35 distinct datasets, encompassing an analysis of more than 6 billion tokens. This "boost" version includes additional fine-tuning data to enhance its capabilities.
Key Capabilities
- Extensive Training Data: Fine-tuned on the Matter dataset, a large-scale, curated collection of over 6 billion tokens from diverse sources.
- Function Calling Support: Designed to integrate with external tools and APIs through explicit function calling mechanisms. It utilizes special tokens (
<|begin_func|>,<|end_func|>,<|begin_func_response|>,<|end_func_response|>) to manage function calls and responses within the conversation flow. - ChatML Format: Employs the ChatML prompt format, ensuring compatibility with common conversational AI frameworks.
Good For
- Conversational AI: General-purpose chat applications and assistant roles.
- Tool-Augmented Applications: Use cases requiring the model to interact with external functions, such as fetching real-time data, executing commands, or integrating with other software services.