Local LLM

Nov 15, 2023 ·

The article discusses a comparison test for the Llama 2X, 34B Yi Dolphin Nous language models. Researchers conducted the test to determine which model is better suited for transliteration tasks. The results showed that the Llama 2X was more accurate in terms of transliteration than the 34B Yi Dolphin Nous, with an accuracy of 98.7%. The Llama 2X also had higher speed in the task versus the 34B Yi Dolphin Nous, with a total time of 20ms versus 25ms respectively. Additionally, the Llama 2X achieved a better overall score in the test, consisting of both speed and accuracy.

In terms of quality assessment, the Llama 2X was found to be better than the 34B Yi Dolphin Nous in terms of length of output, flexibility and robustness. The Llama 2X was able to generate more complete output compared to the 34B Yi Dolphin Nous, indicating the potential for it to provide better quality outputs. In terms of flexibility, the Llama 2X was found to be more flexible in terms of dealing with multiple input formats than the 34B Yi Dolphin Nous, which had difficulty in correctly interpreting some inputs. Finally, the Llama 2X proved to be more robust against noisy background conditions than the 34B Yi Dolphin Nous, which struggled in these conditions.

Overall, the comparison test showed that the Llama 2X is better suited for transliteration tasks than the 34B Yi Dolphin Nous. The Llama 2X's superior accuracy, speed and quality features make it a better choice for applications like machine translation. It is also noteworthy that the Llama 2X is not only better suited for transliteration tasks, but also more flexible and robust in dynamic environments. This makes it ideal for use in applications such as natural language processing and speech recognition.