Phind introduces its latest model, Phind Model V7, which is faster and outperforms GPT-4 in coding tasks. It achieves a HumanEval score of 74.7%, fine-tuned with 70B+ tokens of high-quality code. Notably, it runs five times faster than GPT-4, thanks to NVIDIA's TensorRT-LLM library. The model supports up to 16k tokens, allowing 12k tokens for user input on the website

WizardCoder is a new model that utilizes complex instruction fine-tuning to enhance Code Large Language Models (Code LLMs) for code-related tasks. This model has been tested on four benchmarks and has shown superior performance compared to other Code LLMs and even outperforms the largest closed LLMs on some benchmarks.