Wow, an 80% reduction in size for DeepSeek-R1 is just amazing! It's fantastic to see such large models becoming more accessible to those of us who don't have access to top-tier hardware. This kind of optimization opens up so many possibilities for experimenting at home.

I'm impressed by the 140 tokens per second speed with the 1.58-bit quantization running on dual H100s. That kind of performance makes the model practical for small or mid sized shops to use it for local applications. This is a huge win for people working on agents that require low latency that only local models could support.