Ja-ck/Mistral-instruct-IPO-Y24-v1
Ja-ck/Mistral-instruct-IPO-Y24-v1 is an instruction-tuned causal language model developed by Ja-ck, based on the Mistral architecture. This model is designed to follow instructions, utilizing an Alpaca-style prompt format for question-answer interactions. It is optimized for generating coherent and contextually relevant responses to user queries, making it suitable for conversational AI and instruction-following tasks.
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Model Overview
Ja-ck/Mistral-instruct-IPO-Y24-v1 is an instruction-tuned language model built upon the Mistral architecture. It is specifically designed to process and respond to instructions formatted in an Alpaca-style prompt template.
Key Capabilities
- Instruction Following: The model excels at understanding and executing instructions provided in a structured question-answer format.
- Text Generation: It can generate coherent and contextually appropriate text based on the input prompt.
- Alpaca Prompt Format: Utilizes a
### 질문: {instruction} ### 답변: {output}structure for input and output, ensuring consistent interaction.
Usage
This model is intended for tasks requiring direct instruction following, such as chatbots, virtual assistants, or any application where a clear question-answer interaction is desired. The provided implementation code demonstrates how to load the model and tokenizer using transformers and generate responses with specific decoding parameters like temperature, top_p, and repetition_penalty.
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.