ELYZA-japanese-Llama-2-7b-fast-instruct

Maintainer: elyza

Total Score

73

Last updated 5/28/2024

๐Ÿงช

PropertyValue
Model LinkView on HuggingFace
API SpecView on HuggingFace
Github LinkNo Github link provided
Paper LinkNo paper link provided

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Model overview

ELYZA-japanese-Llama-2-7b-fast-instruct is a large language model developed by elyza that is based on the Llama 2 architecture. It is one of several Japanese-focused Llama 2 models released by elyza, including the ELYZA-japanese-Llama-2-7b, ELYZA-japanese-Llama-2-7b-instruct, and ELYZA-japanese-Llama-2-7b-fast variants. These models are fine-tuned on Japanese data and optimized for different use cases, with the fast-instruct version targeting efficient instruction-following performance.

Model inputs and outputs

Inputs

  • The model takes in text prompts as input, which can be in Japanese or other supported languages.

Outputs

  • The model generates text outputs in response to the input prompts, which can be used for a variety of natural language processing tasks such as language generation, question answering, and code generation.

Capabilities

The ELYZA-japanese-Llama-2-7b-fast-instruct model has been optimized for efficient instruction-following, allowing it to quickly generate relevant and coherent responses to prompts. Its Japanese-focused training also gives it strong capabilities in understanding and generating Japanese text.

What can I use it for?

The ELYZA-japanese-Llama-2-7b-fast-instruct model could be useful for a variety of applications that require Japanese language generation or understanding, such as chatbots, virtual assistants, or language learning tools. Its instruction-following capabilities make it well-suited for tasks like code generation, task automation, or interactive question answering.

Things to try

You could try prompting the model with a variety of Japanese language tasks, such as translating between Japanese and other languages, answering questions about Japanese culture or history, or generating creative Japanese-language stories or poems. Its efficient instruction-following capabilities also make it an interesting model to experiment with for automating workflows or generating code in Japanese-speaking contexts.



This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!

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