YohanesAtet/llama-3-8b-legal-indo-basic
TEXT GENERATIONPricing:Input $0.37 / Cached $0.074 / Output $0.38Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Jul 18, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Featherless Exclusive Cold
YohanesAtet/llama-3-8b-legal-indo-basic is an 8 billion parameter Llama 3 model developed by YohanesAtet, fine-tuned for specific applications. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training speeds. It is designed for tasks requiring a compact yet efficient language model, leveraging the Llama 3 architecture.
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Model Overview
YohanesAtet/llama-3-8b-legal-indo-basic is an 8 billion parameter Llama 3 model, developed by YohanesAtet. It was fine-tuned from unsloth/llama-3-8b-bnb-4bit using the Unsloth framework and Huggingface's TRL library, which enabled a 2x faster training process.
Key Characteristics
- Base Model: Llama 3 architecture.
- Parameter Count: 8 billion parameters.
- Training Efficiency: Utilizes Unsloth for accelerated fine-tuning.
- License: Released under the Apache-2.0 license.
Potential Use Cases
This model is suitable for developers looking for:
- A compact Llama 3 variant for resource-constrained environments.
- Applications benefiting from a fine-tuned 8B parameter model.
- Projects where faster training and deployment are critical.