IzNrsydn/legal-chatbot-llama3-finetuned
TEXT GENERATIONPricing:Input $0.04 / Cached $0.008 / Output $0.08Concurrent Unit Cost:1Model Size:1.5BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Sep 7, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
IzNrsydn/legal-chatbot-llama3-finetuned is a 1.5 billion parameter Qwen2.5-based instruction-tuned language model developed by IzNrsydn. This model is specifically finetuned for legal chatbot applications, leveraging Unsloth for accelerated training. It offers a 32768 token context length, making it suitable for processing extensive legal documents and queries.
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Model Overview
IzNrsydn/legal-chatbot-llama3-finetuned is a specialized language model developed by IzNrsydn, built upon the Qwen2.5-1.5B-Instruct architecture. This model has been specifically finetuned to excel in legal chatbot applications, providing a focused solution for legal information processing and interaction.
Key Capabilities
- Legal Domain Specialization: Optimized for understanding and generating responses relevant to legal queries and contexts.
- Efficient Training: Finetuned using Unsloth and Huggingface's TRL library, enabling faster training times.
- Robust Base Model: Leverages the capabilities of the Qwen2.5-1.5B-Instruct model, providing a strong foundation for instruction following.
- Extended Context Window: Features a 32768 token context length, allowing for the processing of lengthy legal documents and complex discussions.
Good For
- Developing chatbots for legal advice, document analysis, or information retrieval.
- Applications requiring a language model with a strong understanding of legal terminology and concepts.
- Use cases where efficient model deployment and performance are critical for legal-specific tasks.