Hapissss/Chatbot-Tim-Legal-Indonesia
TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jun 20, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
Hapissss/Chatbot-Tim-Legal-Indonesia is an 8 billion parameter Llama 3.1 model, fine-tuned using Unsloth and Huggingface's TRL library. This model is optimized for faster training and deployment, making it suitable for applications requiring efficient language processing. It is designed for general language tasks, leveraging its Llama 3.1 base for robust performance.
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Model Overview
Hapissss/Chatbot-Tim-Legal-Indonesia is an 8 billion parameter language model, fine-tuned from the unsloth/llama-3.1-8b-unsloth-bnb-4bit base model. Developed by Hapissss, this model leverages the Unsloth library for accelerated training, achieving up to 2x faster fine-tuning speeds, and Huggingface's TRL library for efficient instruction tuning.
Key Capabilities
- Efficient Fine-tuning: Utilizes Unsloth for significantly faster training times compared to standard methods.
- Llama 3.1 Architecture: Benefits from the robust capabilities and performance of the Llama 3.1 base model.
- General Language Understanding: Suitable for a wide range of natural language processing tasks due to its instruction-tuned nature.
Good For
- Rapid Prototyping: Ideal for developers looking to quickly fine-tune and deploy Llama 3.1-based models.
- Resource-Efficient Deployment: The 8B parameter size, combined with Unsloth's optimizations, makes it suitable for environments with moderate computational resources.
- General-Purpose Chatbots: Can serve as a foundation for conversational AI applications requiring a capable language model.