Phind's latest V7 version of the large model claims to have surpassed GPT-4 in terms of encoding capabilities, while also having similar speed and 16k context like GPT-3.5, and it supports Chinese!
No registration is required, and you can test large models like GPT-4 for free online!
Experience link: https://www.phind.com/ (requires magic internet access)
Phind Large Model Introduction
Phind V7 is built based on Phind's open-source code model CodeLlama-34B V2, and it has been fine-tuned through 70 billion high-quality code and inference questions.
CodeLlama-34B V2 ranks first in Hugging Face's code large model leaderboard, making it the first open-source code project to defeat GPT-4.
Its code capability far exceeds GPT-4, with a score of 74.7% on HumanEval.
In addition, Phind has achieved a running speed 5 times faster than GPT-4, processing 100 tokens per second.
Another key advantage is that Phind supports up to 16k tokens of context.
Among them, a maximum of 12k tokens are available for user input, and the remaining 4k tokens are used for network results.
When opening the webpage, Phind has a simple and intuitive interface, and it can be used without logging in. There are self-developed models and GPT-4 to choose from.
The "best model" is GPT-4, and it can only be used 10 times a day.
At the bottom of the dialogue box, there is a "Pair Programmer" switch. When turned on, Phind's answers will be more focused on the conversation.
Phind V7 is proficient in mainstream programming languages such as Python, C/C++, TypeScript, Java, etc. You can directly input your programming questions and it will provide code solutions.
You can communicate in Chinese, and Phind's comments are also in Chinese. If you click the triangle button, you can directly run it in replit, which is very convenient.