rubuntu/Llama-3.2-3B-Instruct-Jopara-V3
TEXT GENERATIONPricing:Input $0.2036 / Output $1.34Concurrent Unit Cost:1Model Size:3.2BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Feb 26, 2025License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
rubuntu/Llama-3.2-3B-Instruct-Jopara-V3 is a 3.2 billion parameter instruction-tuned Llama-3.2 model developed by rubuntu. This model was fine-tuned using Unsloth and Huggingface's TRL library, resulting in 2x faster training. It is designed for general instruction-following tasks, leveraging its efficient training methodology.
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Model Overview
rubuntu/Llama-3.2-3B-Instruct-Jopara-V3 is an instruction-tuned language model based on the Llama-3.2 architecture, featuring 3.2 billion parameters and a context length of 32768 tokens. Developed by rubuntu, this model distinguishes itself through its efficient training process, which utilized Unsloth and Huggingface's TRL library to achieve a 2x speedup in fine-tuning.
Key Capabilities
- Instruction Following: Designed to accurately respond to a wide range of user instructions.
- Efficient Training: Benefits from optimized training techniques, making it a potentially resource-friendly option for deployment.
- Llama-3.2 Base: Inherits the robust capabilities of the Llama-3.2 family.
Good For
- General-purpose AI applications: Suitable for tasks requiring understanding and generation of human-like text based on instructions.
- Developers seeking efficient models: Ideal for those looking for a capable model that was fine-tuned with speed and resource optimization in mind.
- Experimentation with Unsloth-trained models: Provides a practical example of models fine-tuned using the Unsloth framework.