Ja-ck/llama-2-13b-instruct-Y24-v1
Ja-ck/llama-2-13b-instruct-Y24-v1 is an instruction-tuned language model based on the Llama 2 13B architecture. This model is designed for conversational AI and instruction following, utilizing a specific Korean-oriented prompt template for question-answer interactions. Its primary strength lies in processing and generating responses based on structured prompts, making it suitable for applications requiring clear input-output formats.
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Overview
Ja-ck/llama-2-13b-instruct-Y24-v1 is an instruction-tuned variant of the Llama 2 13B model, developed by Ja-ck. This model is specifically fine-tuned to follow instructions presented in a structured question-answer format, making it adept at generating coherent and relevant responses based on explicit prompts.
Key Capabilities
- Instruction Following: Designed to interpret and respond to instructions provided within a defined prompt template.
- Structured Input/Output: Utilizes a
### 질문: {instruction}\n\n### 답변: {output}prompt template, which guides the model's input processing and output generation. - Conversational AI: Suitable for applications requiring structured dialogue or question-answering systems where inputs can be formatted according to the specified template.
When to Use This Model
This model is particularly well-suited for use cases where:
- You need a 13B parameter model optimized for instruction-following tasks.
- Your application benefits from a clear, predefined prompt structure for questions and answers.
- You are developing conversational agents or chatbots that require consistent response generation based on explicit instructions.
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.