SoufianeMS/ynov-llama3-chatbot
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:8kPublished:May 25, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Warm
SoufianeMS/ynov-llama3-chatbot is an 8 billion parameter Llama 3.1 instruction-tuned causal language model developed by SoufianeMS. This model was finetuned from unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general chatbot applications, leveraging the Llama 3.1 architecture for conversational tasks.
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Model Overview
SoufianeMS/ynov-llama3-chatbot is an 8 billion parameter instruction-tuned language model, developed by SoufianeMS. It is based on the Llama 3.1 architecture, specifically finetuned from the unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit model.
Key Characteristics
- Architecture: Llama 3.1, a powerful base for conversational AI.
- Parameter Count: 8 billion parameters, offering a balance between performance and computational efficiency.
- Training Efficiency: The model was finetuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- Context Length: Supports an 8192-token context window, suitable for handling moderately long conversations and prompts.
Intended Use Cases
This model is primarily designed for:
- Chatbot Applications: Its instruction-tuned nature makes it well-suited for interactive conversational agents.
- General Text Generation: Capable of generating human-like text based on given prompts.
- Prototyping and Development: The efficient finetuning process with Unsloth makes it a good candidate for rapid iteration in AI projects.