Gemma 4 seems to work best with high temperature for coding

<!-- SC_OFF --><div class="md"><p><a href="https://huggingface.co/unsloth/gemma-4-E2B-it-GGUF">https://huggingface.co/unsloth/gemma-4-E2B-it-GGUF</a></p> <p><a

<!-- SC_OFF --><div class="md"><blockquote> <p><strong>WARNING: wait before download from HF: I just realised my upload of the new versions with the additional fix in the chat

<!-- SC_OFF --><div class="md"><p>so as it says, I am not a FE eng, but want to do some light FE work<br /> I don't need the smartest model but need to get some work done.<br /> I

<!-- SC_OFF --><div class="md"><p>Hey y'all!</p> <p>I've recently written a text in Russian about my experience comparing Qwen-3.6-27B with lower tier cloud models on hard tasks

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1srhtvg/where_we_are_in_a_year_everything_has_changed/"> <img alt="Where we are. In a year, everything has

<!-- SC_OFF --><div class="md"><p>I run Gemma 4 26B-A4B locally via Ollama as part of a custom self-hosted AI platform. The platform stores every model interaction in SQLite,

<!-- SC_OFF --><div class="md"><p>Mind you, it is <strong>1.0</strong> by default, yet everyone is focused on how much the new model thinks, restricting the reasoning budget

<!-- SC_OFF --><div class="md"><p>I'm continuing to play around with local llms on my framework13 laptop. </p> <p>So, limited memory bandwith and processing power means exploring