Inkbot-13B-8k-0.2
| Property | Value |
|---|---|
| Author | Tostino |
| License | Llama 2 |
| Context Length | 8k tokens |
| Framework | PyTorch |
What is Inkbot-13B-8k-0.2?
Inkbot-13B-8k-0.2 is a sophisticated conversational AI model designed for structured prompt interpretation and response generation. Built on the Llama architecture, it specializes in handling large context windows up to 8k tokens and implements a unique structured prompt system for enhanced dialogue management.
Implementation Details
The model is implemented using PyTorch and features a specialized prompt template system that includes metadata, system instructions, and chat components. It supports both contextual and non-contextual interactions through carefully structured prompt formats.
- Utilizes rope-freq-scale=0.5 or compress_pos_emb=2 for 8k context handling
- Implements a sophisticated task system with various specialized functions
- Features a unique tag-based prompt structure using <#tag#> format
Core Capabilities
- Text Refinement: Includes clarity improvement, coherence enhancement, and grammatical error correction
- Content Generation: Supports knowledge graph writing, summarization, and paraphrasing
- Content Analysis: Offers content grading and sponsorship detection
- Information Structuring: Specializes in knowledge graph creation and relationship extraction
- RAG Integration: Excellent performance in retrieval-augmented generation tasks
Frequently Asked Questions
Q: What makes this model unique?
Inkbot's uniqueness lies in its structured prompt system and ability to handle large context windows efficiently. It's designed to be more functional and less verbose, focusing on task completion rather than unnecessary conversation.
Q: What are the recommended use cases?
The model excels in tasks requiring context processing, knowledge graph generation, text refinement, and structured information extraction. It's particularly well-suited for applications requiring precise, task-focused responses rather than casual conversation.
