cuteElf/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

cuteElf/kanana-1.5-8b-instruct-2505-Persona-Merged is an 8 billion parameter instruction-tuned Llama model developed by cuteElf. It was fine-tuned from kakaocorp/kanana-1.5-8b-instruct-2505 and leverages Unsloth for accelerated training. This model is optimized for instruction following and general language generation tasks, offering an 8192 token context window.

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Model Overview

cuteElf/kanana-1.5-8b-instruct-2505-Persona-Merged is an 8 billion parameter instruction-tuned language model developed by cuteElf. It is based on the Llama architecture and was fine-tuned from the kakaocorp/kanana-1.5-8b-instruct-2505 model. This model benefits from accelerated training, having been trained 2x faster using the Unsloth library in conjunction with Hugging Face's TRL library.

Key Characteristics

  • Base Model: Fine-tuned from kakaocorp/kanana-1.5-8b-instruct-2505.
  • Parameter Count: 8 billion parameters, offering a balance between performance and computational efficiency.
  • Training Efficiency: Utilizes Unsloth for significantly faster training times.
  • Context Length: Supports an 8192 token context window, suitable for handling moderately long inputs and generating coherent responses.
  • License: Distributed under the Apache 2.0 license, allowing for broad usage and modification.

Use Cases

This model is well-suited for a variety of instruction-following tasks, including:

  • General-purpose text generation.
  • Question answering.
  • Summarization.
  • Conversational AI and chatbots.
  • Applications requiring efficient inference due to its optimized training.