heavytail/kullm-solar-S
The heavytail/kullm-solar-S model is a 10.7 billion parameter causal language model based on the Upstage/SOLAR-10.7B-Instruct-v1.0 architecture. Developed by heavytail, it has been fine-tuned using the KULLM dataset and hand-crafted instruction data. This model is designed for instruction-following tasks, leveraging its specialized training to enhance performance in conversational and generative AI applications.
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KULLM-SOLAR-S Overview
heavytail/kullm-solar-S is a 10.7 billion parameter instruction-tuned language model built upon the Upstage/SOLAR-10.7B-Instruct-v1.0 base model. This model distinguishes itself through its specialized fine-tuning process, which incorporates the KULLM dataset alongside custom, hand-crafted instruction data.
Key Capabilities
- Instruction Following: Optimized for understanding and executing complex instructions, making it suitable for a wide range of interactive AI applications.
- Generative Tasks: Leverages its base architecture and fine-tuning to produce coherent and contextually relevant text.
- Efficient Deployment: Designed to be run with
torch.float16anddevice_map='auto', facilitating deployment on various hardware configurations.
Good For
- Applications requiring robust instruction-following capabilities.
- Developing conversational agents and chatbots.
- Tasks benefiting from a model fine-tuned on diverse instruction datasets.
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.