BlackJagger/Llama-3-8b-Indo-Dicoding-Eksperimen-2
TEXT GENERATIONPricing:Input $0.37 / Cached $0.074 / Output $0.38Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Sep 24, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
BlackJagger/Llama-3-8b-Indo-Dicoding-Eksperimen-2 is an 8 billion parameter Llama 3 model, finetuned by BlackJagger. This model was trained using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language tasks, leveraging the Llama 3 architecture.
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Model Overview
BlackJagger/Llama-3-8b-Indo-Dicoding-Eksperimen-2 is an 8 billion parameter language model developed by BlackJagger. It is a finetuned variant of the Llama 3 architecture, specifically built upon unsloth/llama-3-8b-Instruct-bnb-4bit.
Key Characteristics
- Architecture: Based on the Llama 3 family, providing robust language understanding and generation capabilities.
- Training Efficiency: This model was finetuned with significant speed improvements, utilizing the Unsloth library in conjunction with Huggingface's TRL library. Unsloth is known for accelerating the training process of large language models.
- License: Distributed under the Apache-2.0 license, allowing for broad use and modification.
Potential Use Cases
- General Text Generation: Suitable for a wide range of tasks including content creation, summarization, and conversational AI.
- Instruction Following: As it is finetuned from an instruct model, it is likely to perform well in tasks requiring adherence to specific instructions.
- Experimentation: Ideal for developers and researchers looking to experiment with finetuned Llama 3 models, especially those interested in the performance benefits offered by Unsloth for faster training.