Llm

TL:DR; The smaller the model, the stupider it is. And this is by a lot. gemma2 is where it is at, even in its 2b version, but at least for me, prompt engineering produced better results than tool calling with it. I decided to do a write-up about this particular experience as I spent quite a bit of time recently staring at results, and writing things down is usually helpful to advance my own thinking. I did something similar in July last time, but with less scope and less data. The outcome is still the same though. ...

I tinkered bit with Google’s new gemma2 model on my 32GB RAM M1 Pro. It seems so far quite useful, although I have dabbled with it only day or two so far. Here’s summary from some of the things I tested with it. Benchmarking Using the script from earlier iterations: for MODEL in gemma2:27b-instruct-q5_K_M gemma2:27b \ gemma2:9b-instruct-fp16 gemma2:9b-instruct-q8_0 gemma2 \ llama3:8b-instruct-q8_0 llama3 do echo ${MODEL}: ollama run $MODEL --verbose 'Why is sky blue?' 2>&1 \ | grep -E '^(load duration|eval rate)' echo done with the following models: ...

This is a really brief follow-up on the earlier local llm performance benchmarking post. Nvidia RTX 3080 Today I decided to check out also performance of RTX 3080. Now that Windows beta of ollama is available, testing it out was straightforward. As it turns out, it was almost exactly double the speed of Apple Silicon hardware, e.g. llama2:7B model produced around 80 tokens per second, but model load duration was a bit slower (3-4s -> 4,9s). ...

I have been somewhat interested about LLM performance for years, and it used to be that playing with them was quite painful (e.g. conda ecosystem in general sucks and it used to be that GPU was mandatory), but now with ollama ( https://ollama.com/ ) they’re quite trivial to benchmark across different devices without need for setting up complex stack. So this morning I indulged.. I have not yet gotten around to checking the numbers on a real GPU card, but here’s what I found out at my home (without starting gaming PC). ...