cuteElf/kanana-1.5-8b-instruct-2505-Persona-Merged
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.
Loading preview...
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.