Emirsyah/llama3-8b-alpaca-id-finetuned
TEXT GENERATIONPricing:Input $0.37 / Cached $0.074 / Output $0.38Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Jul 25, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
Emirsyah/llama3-8b-alpaca-id-finetuned is an 8 billion parameter Llama 3 instruction-tuned model, developed by Emirsyah. This model was fine-tuned using Unsloth and Huggingface's TRL library, resulting in a 2x faster training process. It is designed for general instruction-following tasks, leveraging the Llama 3 architecture for efficient performance.
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Emirsyah/llama3-8b-alpaca-id-finetuned Overview
This model is an 8 billion parameter Llama 3 instruction-tuned variant, developed by Emirsyah. It was fine-tuned from unsloth/llama-3-8b-Instruct-bnb-4bit using the Unsloth library, which enabled a 2x faster training process, and Huggingface's TRL library.
Key Capabilities
- Instruction Following: Optimized for understanding and executing user instructions.
- Efficient Training: Benefits from Unsloth's optimizations for faster fine-tuning.
- Llama 3 Architecture: Built upon the robust Llama 3 base model, providing strong foundational language understanding.
Good For
- General-purpose AI applications: Suitable for a wide range of tasks requiring instruction adherence.
- Developers seeking optimized Llama 3 variants: Offers a fine-tuned model with efficient training origins.
- Experimentation with Unsloth-trained models: Provides an example of a model fine-tuned with Unsloth's speed enhancements.