Weyaxi/HelpSteer-filtered-7B
HelpSteer-filtered-7B is a 7 billion parameter causal language model developed by Weyaxi, fine-tuned from Mistral-7B-v0.1. This model is specifically optimized for instruction following, leveraging a filtered dataset to enhance its ability to respond to user prompts effectively. It is designed for general-purpose conversational AI and instruction-based tasks, offering a balance of performance and efficiency.
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Overview
HelpSteer-filtered-7B is a 7 billion parameter language model developed by Weyaxi, built upon the robust Mistral-7B-v0.1 architecture. This model has undergone a specific fine-tuning process using a filtered dataset, which is designed to enhance its instruction-following capabilities and overall response quality.
Key Capabilities
- Instruction Following: Optimized to accurately interpret and execute user instructions.
- General-Purpose AI: Suitable for a wide range of conversational and text generation tasks.
- Efficient Performance: Leverages the Mistral-7B-v0.1 base for a balance of performance and computational efficiency.
Good For
- Applications requiring reliable instruction adherence.
- Developing chatbots or virtual assistants that need to follow specific commands.
- Tasks where a well-tuned 7B parameter model offers sufficient performance without the overhead of larger models.
Further Resources
- Original base model: mistralai/Mistral-7B-v0.1
- Lora weights for fine-tuning: Weyaxi/HelpSteer-filtered-7B-Lora
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.