Hacker Newsnew | past | comments | ask | show | jobs | submitlogin

Strongly agree. Gemma3:27b and Qwen3-vl:30b-a3b are among my favorite local LLMs and handle the vast majority of translation, classification, and categorization work that I throw at them.


Give Gemma 31B a shot for translation, it does a very good job at that given its size.


what HW are you running them on ? are you using OLLAMA ?


I'm using the default llama-server that is part of Gerganov's LLM inference system running on a headless machine with an nVidia 16GB GPU, but Ollama's a bit easier to ease into since they have a preset model library.

https://github.com/ggml-org/llama.cpp




Consider applying for YC's Summer 2026 batch! Applications are open till May 4

Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: