raytuo/maysa-whatsapp-bot
TEXT GENERATIONPricing:Input $0.37 / Cached $0.074 / Output $0.38Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Sep 6, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The raytuo/maysa-whatsapp-bot is an 8 billion parameter Llama-3 instruction-tuned model developed by raytuo. It was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. This model is designed for conversational AI applications, particularly for integration with WhatsApp bots, leveraging its instruction-following capabilities.
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Model Overview
The raytuo/maysa-whatsapp-bot is an 8 billion parameter instruction-tuned language model developed by raytuo. It is based on the Llama-3 architecture and was fine-tuned from unsloth/llama-3-8b-Instruct-bnb-4bit.
Key Capabilities
- Instruction Following: The model is fine-tuned to understand and respond to instructions, making it suitable for interactive applications.
- Efficient Training: It leverages Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- Conversational AI: Optimized for generating human-like text in response to prompts, ideal for chatbot development.
Good For
- WhatsApp Bot Development: Specifically designed and named for integration into WhatsApp bot systems.
- General Conversational Agents: Can be adapted for various chatbot applications requiring instruction-tuned responses.
- Rapid Prototyping: The efficient training methodology suggests it can be a good base for further fine-tuning on specific conversational datasets.