Ja-ck/llama-2-13b-instruct-Y24-v2

Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:13BQuant:FP8Ctx Length:4kLicense:apache-2.0Architecture:Transformer Open Weights Warm

Ja-ck/llama-2-13b-instruct-Y24-v2 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 prompt template for question-answer interactions. Its primary strength lies in generating structured responses to user prompts, making it suitable for applications requiring clear instruction adherence.

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Model Overview

Ja-ck/llama-2-13b-instruct-Y24-v2 is an instruction-tuned variant built upon the Llama 2 13B foundational model. It has been specifically adapted to follow instructions and generate responses in a structured question-answer format.

Key Characteristics

  • Architecture: Based on the robust Llama 2 13B model.
  • Instruction-Tuned: Optimized for understanding and responding to explicit instructions.
  • Prompt Template: Utilizes a defined prompt structure for input and output, enhancing consistency in responses.

When to Use This Model

This model is particularly well-suited for use cases where:

  • Structured Interactions: Clear question-and-answer formats are required.
  • Instruction Following: The application demands precise adherence to user prompts.
  • Conversational AI: Building chatbots or virtual assistants that need to process and respond to specific queries.

Popular Sampler Settings

Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.

temperature
top_p
top_k
frequency_penalty
presence_penalty
repetition_penalty
min_p