FittenTech/openllama-english-13b-evol-instruct
FittenTech/openllama-english-13b-evol-instruct is a 13 billion parameter instruction-tuned causal language model developed by FittenTech. It is based on the OpenLLaMA architecture and has been fine-tuned using an 'evol-instruct' methodology, which aims to enhance its instruction-following capabilities. This model is designed for general-purpose instruction-following tasks in English, offering a 4096-token context window.
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Model Overview
FittenTech/openllama-english-13b-evol-instruct is a 13 billion parameter language model built upon the OpenLLaMA architecture. Developed by FittenTech, this model has undergone an 'evol-instruct' fine-tuning process, which is a method typically used to improve a model's ability to understand and execute complex instructions.
Key Capabilities
- Instruction Following: Enhanced through the 'evol-instruct' methodology, suggesting improved performance on various instruction-based tasks.
- General-Purpose English Tasks: Suitable for a broad range of applications requiring natural language understanding and generation in English.
- Context Window: Supports a context length of 4096 tokens, allowing for processing and generating longer sequences of text.
Good For
- Developers seeking an OpenLLaMA-based model with improved instruction-following capabilities.
- Applications requiring a 13B parameter model for English text generation and comprehension.
- Use cases where a 4096-token context window is sufficient for the task at hand.