Post
1009
π Llama-3-ELYZA-JP-8B
ELYZA, Inc. has developed two large language models (LLMs) for Japanese called "Llama-3-ELYZA-JP-70B" with 70 billion parameters and "Llama-3-ELYZA-JP-8B" with 8 billion parameters, based on Meta's "Llama 3" series. These models have been fine-tuned through additional pre-training and post-training to improve Japanese language capabilities significantly.
Key Points:
Performance:
- Llama-3-ELYZA-JP-70B surpasses global models such as GPT-4, Claude 3 Sonnet, and Gemini 1.5 Flash.
- Llama-3-ELYZA-JP-8B matches models like GPT-3.5 Turbo and Claude 3 Haiku despite having fewer parameters.
Availability:
- The 8B model is available on HF Mirror Hub and can be used for both research and commercial purposes under the Llama 3 Community License.
Methodology:
- ELYZA enhanced the Japanese performance of the Llama 3 models through additional training with high-quality Japanese corpora and Instruction Tuning with proprietary datasets.
Benchmarks:
- Evaluations using ELYZA Tasks 100 and Japanese MT-Bench showed significant improvements in Japanese language generation.
Inference Speed:
- To address inference speed issues due to model size, ELYZA implemented Speculative Decoding, which achieved up to 1.6 times faster inference for the 70B model.
Overall, ELYZA's models demonstrate state-of-the-art performance in Japanese language tasks and are optimized for both efficiency and effectiveness.
Model URL:
- elyza/Llama-3-ELYZA-JP-8B
- elyza/Llama-3-ELYZA-JP-8B-AWQ
- elyza/Llama-3-ELYZA-JP-8B-GGUF
Blog post (in Japanese):
https://note.com/elyza/n/n360b6084fdbd
ELYZA, Inc. has developed two large language models (LLMs) for Japanese called "Llama-3-ELYZA-JP-70B" with 70 billion parameters and "Llama-3-ELYZA-JP-8B" with 8 billion parameters, based on Meta's "Llama 3" series. These models have been fine-tuned through additional pre-training and post-training to improve Japanese language capabilities significantly.
Key Points:
Performance:
- Llama-3-ELYZA-JP-70B surpasses global models such as GPT-4, Claude 3 Sonnet, and Gemini 1.5 Flash.
- Llama-3-ELYZA-JP-8B matches models like GPT-3.5 Turbo and Claude 3 Haiku despite having fewer parameters.
Availability:
- The 8B model is available on HF Mirror Hub and can be used for both research and commercial purposes under the Llama 3 Community License.
Methodology:
- ELYZA enhanced the Japanese performance of the Llama 3 models through additional training with high-quality Japanese corpora and Instruction Tuning with proprietary datasets.
Benchmarks:
- Evaluations using ELYZA Tasks 100 and Japanese MT-Bench showed significant improvements in Japanese language generation.
Inference Speed:
- To address inference speed issues due to model size, ELYZA implemented Speculative Decoding, which achieved up to 1.6 times faster inference for the 70B model.
Overall, ELYZA's models demonstrate state-of-the-art performance in Japanese language tasks and are optimized for both efficiency and effectiveness.
Model URL:
- elyza/Llama-3-ELYZA-JP-8B
- elyza/Llama-3-ELYZA-JP-8B-AWQ
- elyza/Llama-3-ELYZA-JP-8B-GGUF
Blog post (in Japanese):
https://note.com/elyza/n/n360b6084fdbd