If your GPU can run inference, it should be able to fine-tune too. [P]

<!-- 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>Hey I'm 0xcircuitbreaker (CircuitBreaker88), and I'm building a small fine-tuning service around local/open models. I'm looking for 5 pilot

<!-- SC_OFF --><div class="md"><p>Hey everyone, I've been working on getting Multi-Token Prediction (MTP) working with quantized GGUFs for Qwen3-27B and the results are pretty

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1si7xzy/spectralai_a_project_to_use_nvidia_rt_cores_to/"> <img alt="Spectral-AI - a project to use Nvidia RT

<!-- SC_OFF --><div class="md"><p>I’ve been experimenting with a different approach to quantization that goes more fine-grained than the usual per-tensor or per-channel

<a href="https://news.ycombinator.com/item?id=49166984">Comments</a>

<!-- SC_OFF --><div class="md"><p>Google DeepMind dropped Gemma 4 today:</p> <p><strong>Gemma 4 31B:</strong> dense, 256K context, redesigned architecture targeting efficiency and

<blockquote> <p>I created a new website: <a href="https://programmingcentral.vercel.app/books/typescript/" rel="noopener noreferrer">Free Access to the 8 Volumes on Typescript