Hutgaecha/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

The Hutgaecha/kanana-1.5-8b-instruct-2505-Persona-Merged is an 8 billion parameter Llama-based instruction-tuned language model, developed by Hutgaecha. It was fine-tuned from kakaocorp/kanana-1.5-8b-instruct-2505 using Unsloth and Huggingface's TRL library, enabling 2x faster training. This model is designed for instruction-following tasks, leveraging its efficient training methodology.

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Model Overview

The Hutgaecha/kanana-1.5-8b-instruct-2505-Persona-Merged is an 8 billion parameter instruction-tuned language model. Developed by Hutgaecha, it is based on the Llama architecture and was fine-tuned from the kakaocorp/kanana-1.5-8b-instruct-2505 model.

Key Characteristics

  • Efficient Training: This model was trained with Unsloth and Huggingface's TRL library, which facilitated a 2x faster fine-tuning process.
  • Instruction-Tuned: Designed to follow instructions effectively, making it suitable for a variety of prompt-based applications.
  • Parameter Count: With 8 billion parameters, it offers a balance between performance and computational requirements.

Use Cases

This model is well-suited for applications requiring a capable instruction-following language model, particularly where efficient training and deployment are beneficial. Its Llama base and instruction-tuning make it adaptable for tasks such as text generation, summarization, and question answering based on provided instructions.

Finetunes
1 models