Biggiraffe/kanana-1.5-8b-instruct-2505-Persona-Merged

TEXT GENERATIONPricing:Input $0.37 / Cached $0.074 / Output $0.38Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Sep 3, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

Biggiraffe/kanana-1.5-8b-instruct-2505-Persona-Merged is an 8 billion parameter Llama-based instruction-tuned model developed by Biggiraffe. It was fine-tuned from kakaocorp/kanana-1.5-8b-instruct-2505, leveraging Unsloth and Huggingface's TRL library for faster training. This model is designed for general instruction-following tasks, benefiting from optimized training efficiency.

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Model Overview

Biggiraffe/kanana-1.5-8b-instruct-2505-Persona-Merged is an 8 billion parameter instruction-tuned language model developed by Biggiraffe. It is based on the Llama architecture and was fine-tuned from the kakaocorp/kanana-1.5-8b-instruct-2505 model.

Key Characteristics

  • Architecture: Llama-based, 8 billion parameters.
  • Training Efficiency: This model was trained significantly faster (2x) by utilizing Unsloth and Huggingface's TRL library, indicating an optimized fine-tuning process.
  • Origin: Fine-tuned from an existing instruction-tuned model, suggesting a focus on refining instruction-following capabilities.

Use Cases

This model is suitable for general instruction-following applications where an 8B parameter model is appropriate. Its optimized training process suggests it could be a good candidate for developers looking for efficient fine-tuning results on a Llama-based architecture.

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