Nisk36/finetuned-elyza_ELYZA-japanese-Llama-2-7b-instruct
TEXT GENERATIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:7BQuant:FP8Context Size:4kPublished:Nov 1, 2024Architecture:Transformer Featherless Exclusive Cold
Nisk36/finetuned-elyza_ELYZA-japanese-Llama-2-7b-instruct is a 7 billion parameter instruction-tuned language model. This model is a fine-tuned version of the ELYZA-japanese-Llama-2-7b-instruct model, designed for Japanese language tasks. Its primary use case is to provide instruction-following capabilities in Japanese, leveraging the Llama 2 architecture.
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Overview
This model, Nisk36/finetuned-elyza_ELYZA-japanese-Llama-2-7b-instruct, is an instruction-tuned language model with 7 billion parameters. It is a fine-tuned variant of the ELYZA-japanese-Llama-2-7b-instruct model, specifically adapted for Japanese language processing. The model is built upon the Llama 2 architecture, providing a robust foundation for its capabilities.
Key Capabilities
- Japanese Language Understanding: Optimized for processing and generating text in Japanese.
- Instruction Following: Designed to respond to and execute instructions provided in natural language.
- Llama 2 Architecture: Benefits from the underlying Llama 2 model's general language understanding and generation strengths.
Good For
- Applications requiring instruction-tuned models for Japanese text.
- Research and development in Japanese natural language processing.
- Tasks where a 7 billion parameter model offers a balance between performance and computational efficiency for Japanese language tasks.