bran21/llama3-8b-alpaca-id
TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Jul 2, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The bran21/llama3-8b-alpaca-id is an 8 billion parameter Llama 3 model, developed by bran21, fine-tuned from unsloth/llama-3-8b-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster fine-tuning. It is designed for general language tasks, leveraging the Llama 3 architecture for efficient performance.
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Overview
The bran21/llama3-8b-alpaca-id is an 8 billion parameter language model, developed by bran21. It is a fine-tuned variant of the unsloth/llama-3-8b-bnb-4bit model, leveraging the Llama 3 architecture. A key characteristic of this model's development is its training process, which utilized Unsloth and Huggingface's TRL library, resulting in a 2x faster fine-tuning speed.
Key Capabilities
- Efficient Training: Benefits from Unsloth's optimizations for faster fine-tuning.
- Llama 3 Architecture: Inherits the robust capabilities of the Llama 3 base model.
- General Purpose: Suitable for a wide range of natural language processing tasks.
Good For
- Developers looking for an efficiently fine-tuned Llama 3 variant.
- Applications requiring a capable 8 billion parameter model.
- Experimentation with models trained using Unsloth's accelerated methods.