<!-- 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"><p>Beginner here, now I have a good GPU and ollama using docker. Pulled the Gemma4 weights and was able to add it to cursor using ngrok. </p>
<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1tbzr64/qwen36_just_stops/"> <img alt="qwen3.6 just stops"
<!-- SC_OFF --><div class="md"><p>I build context/harness optimization tooling, so provider-side serialization quirks actually matter to me. If you're optimizing over prompts, you
<!-- SC_OFF --><div class="md"><p>question, I'm using it for text translations and on each large prompt (20K+) it stops with a remark 'now I'm going to put that to the file' or
<!-- SC_OFF --><div class="md"><p><a href="https://huggingface.co/z-lab/gemma-4-31B-it-DFlash">https://huggingface.co/z-lab/gemma-4-31B-it-DFlash</a></p> <p>I guess we'll have to
<!-- 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>so today I tried the Obsidian LLM wiki system by Karparthy, but with Gemma 4 locally in OpenCode with instead of Claude code. </p> <p>My
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