JeongMinMin/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
JeongMinMin/kanana-1.5-8b-instruct-2505-Persona-Merged is an 8 billion parameter instruction-tuned Llama model developed by JeongMinMin. This model was fine-tuned from kakaocorp/kanana-1.5-8b-instruct-2505 and optimized for faster training using Unsloth and Huggingface's TRL library. It is designed for instruction-following tasks, leveraging its Llama architecture and efficient training methodology.
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Model Overview
JeongMinMin/kanana-1.5-8b-instruct-2505-Persona-Merged is an 8 billion parameter instruction-tuned Llama model, developed by JeongMinMin. It is fine-tuned from the kakaocorp/kanana-1.5-8b-instruct-2505 base model and licensed under Apache-2.0.
Key Characteristics
- Architecture: Llama-based, instruction-tuned for general-purpose conversational and task-oriented interactions.
- Efficient Training: This model was trained significantly faster (2x) by utilizing Unsloth and Huggingface's TRL library, indicating an optimization for resource-efficient fine-tuning.
Potential Use Cases
- Instruction Following: Designed to excel in tasks requiring adherence to specific instructions.
- Conversational AI: Suitable for chatbots and interactive applications due to its instruction-tuned nature.
- Research & Development: Provides a base for further experimentation and fine-tuning, especially for those interested in efficient training methodologies.