Analysis
This article provides a fascinating real-world look at running the new LLM-jp-4 on consumer-grade hardware like the RTX 4070. The Japanese Large Language Model (LLM) has achieved a remarkable milestone by scoring 7.82 on the Japanese MT-Bench, surpassing GPT-4o's 7.29. It highlights the vibrant open-source community's role in quickly making models accessible through GGUF conversions for tools like Ollama.
Key Takeaways
- •LLM-jp-4 achieved a score of 7.82 on Japanese MT-Bench, outperforming GPT-4o's 7.29.
- •The open-source community rapidly created GGUF versions for Ollama use within two days of release.
- •Running the model on an RTX 4070 (12GB VRAM) provides a valuable local LLM experience despite VRAM capacity limitations.
Reference / Citation
View Original"Japanese MT-Bench score of 7.82 surpasses GPT-4o (7.29)... This article is a verification record of actually running LLM-jp-4 with Ollama."