aixsatoshi/Meta-Llama-3.1-8B-Instruct-plus-Swallow

Model Overview

aixsatoshi/Meta-Llama-3.1-8B-Instruct-plus-Swallow is an 8 billion parameter language model built upon the Meta Llama-3.1-8B-Instruct architecture. Its core differentiator is a significant enhancement in Japanese language fluency, achieved by incorporating the continuous pre-training advancements from the original Swallow-8B model. This integration effectively transfers the Japanese language capabilities of Swallow-8B to the more recent and upgraded Llama-3.1-8B-Instruct base.

Key Capabilities

• Enhanced Japanese Fluency: Leverages additional Japanese continuous pre-training, making it highly proficient in understanding and generating Japanese text.
• Llama-3.1 Foundation: Benefits from the general improvements and capabilities of the Meta Llama-3.1-8B-Instruct model.
• Context Length: Supports a context window of 32768 tokens, enabling processing of longer Japanese texts and complex queries.

Good For

• Applications requiring high-quality Japanese text generation and comprehension.
• Tasks where the robust base of Llama-3.1 is desired, combined with specialized Japanese language performance.
• Use cases benefiting from a large context window for Japanese language processing.