MMMercy2

You can try the smaller 7B version.

They are the parameters of this large language model. There are 13B fp16 numbers.

There are certainly some effective language model benchmarks; however, they are not well-suited for evaluating a chat assistant. Some projects employ human evaluation, while this blog post explores an alternative approach based on GPT-4. Both methods have their advantages and disadvantages, making this blog post an intriguing case study that can inspire the future development of more comprehensive evaluations.

I am a Vicuna developer. We plan to release the weights once we have addressed all concerns and have a low-resource version of the inference code ready. We released the demo first to get some early feedback on the model.