40 ms·
Download the model weights here (PyTorch, GGUF): https://huggingface.co/collections/google/codegemma-release-66152ac7b683e2667abdee11 https://huggingface.co/co
by sheepscreek 3y ago
Download the model weights here (PyTorch, GGUF):
https://huggingface.co/collections/google/codegemma-release-66152ac7b683e2667abdee11 https://huggingface.co/collections/google/codegemma-release-...
I am really liking the Gemma line of models. Thoroughly impressed with the 2B and 7B non-code optimized variants. The 2B especially packs a lot of punch. I reckon its quality must be at par with some older 7B models, and it runs blazing fast on Apple Silicon - even at 8 bit quantization.
- tosh 3y agoGemma 2b instruct worked well for me for categorization. I would also say it felt 7b-ish. Very impressed. The initial release left me a bit underwhelmed but 1.1 is better and punches above its weight. Also looking fwd to use 2b models on iOS and Android (even if they will be heavy on the battery).