This site presents models in an incomplete and misleading way.

When I visit the site with an Apple M1 Max with 32GB RAM, the first model that's listed is Llama 3.1 8B, which is listed as needing 4.1GB RAM.

But the weights for Llama 3.1 8B are over 16GB. You can see that here in the official HF repo: https://huggingface.co/meta-llama/Llama-3.1-8B/tree/main

The model this site calls 'Llama 3.1 8B' is actually a 4-bit quantized version ( Q4_K_M) available on ollama.com/library: https://ollama.com/library/llama3.1:8b

If you're going to recommend a model to someone based on their hardware, you have to recommend not only a specific model, but a specific version of that model (either the original, or some specific quantized version).

This matters because different quantized versions of the model will have different RAM requirements and different performance characteristics.

Another thing I don't like is that the model names are sometimes misleading. For example, there's a model with the name 'DeepSeek R1 1.5B'. There's only one architecture for DeepSeek R1, and it has 671B parameters. The model they call 'DeepSeek R1 1.5B' does not use that architecture. It's a qwen2 1.5B model that's been finetuned on DeepSeek R1's outputs. (And it's a Q4_K_M quantized version.)