Overview

bilalRahib/TinyLLama-NSFW-Chatbot is a compact 1.1 billion parameter language model, specifically fine-tuned for NSFW (Not Safe For Work) chatbot interactions. Developed by bilalRahib, this model leverages the Llama architecture and was built upon the unsloth/tinyllama-bnb-4bit base model.

Key Characteristics

• Parameter Count: 1.1 billion parameters, making it a relatively small and efficient model.
• Base Model: Fine-tuned from unsloth/tinyllama-bnb-4bit.
• Training Efficiency: Utilizes Unsloth and Huggingface's TRL library for accelerated training, reportedly achieving 2x faster training speeds.
• Context Length: Supports a context window of 2048 tokens.
• License: Distributed under the Apache-2.0 license.

Intended Use Cases

This model is specifically designed and optimized for:

• NSFW Chatbot Applications: Its primary purpose is to generate responses suitable for adult-oriented conversational agents.
• Resource-Constrained Environments: Due to its smaller parameter count, it may be suitable for deployment in environments with limited computational resources where larger models are impractical.