Anyone tried these two for coding or agentic tasks? How do they compare? I know 27b is a dense one and very smart, but what is your experience and opinion?
Anyone tried these two for coding or agentic tasks? How do they compare? I know 27b is a dense one and very smart, but what is your experience and opinion?
Thank you for the reply Yes moe models are much faster and usually proportionately dumber… I run some tests and the 26b results are unexpectedly good, hence was the question .
https://www.glukhov.org/ai-devtools/opencode/llms-comparison/
Apples and oranges- don’t care how they are organised internally when they deliver quality output. Faster better, but if they don’t deliver - who cares.
That’s a cool write up! I suspect a lot of this will have to do with quantization, how much quality is getting lost, and how each model behaves under different quants.