heavytail/kullm-mistral-S
heavytail/kullm-mistral-S is a causal language model developed by heavytail, fine-tuned from the Mistral-7B-Instruct-v0.2 base model. This model is specifically trained on the KULLM dataset and additional hand-crafted instruction data. It is designed for instruction-following tasks, leveraging its 7 billion parameters for general-purpose conversational AI.
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Model Overview
heavytail/kullm-mistral-S is an instruction-tuned causal language model developed by heavytail. It is built upon the robust Mistral-7B-Instruct-v0.2 base model, inheriting its 7 billion parameters and foundational capabilities.
Training and Data
This model has undergone fine-tuning using a specialized combination of datasets:
- KULLM dataset: A key component of its training, contributing to its unique instruction-following characteristics.
- Hand-crafted instruction data: Additional curated data designed to enhance its ability to understand and execute diverse instructions.
Key Capabilities
- Instruction Following: Optimized for responding to and executing user instructions effectively.
- General-Purpose Conversational AI: Suitable for a wide range of dialogue-based applications due to its instruction-tuned nature.
Usage
Developers can easily integrate kullm-mistral-S into their projects using the Hugging Face transformers library, leveraging AutoModelForCausalLM and AutoTokenizer for inference. The model supports torch.float16 for efficient computation and device_map='auto' for flexible deployment across available hardware.
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.