The recent hype of Jev Made me Curious. So here is my version of Jev running loc

<!-- SC_OFF --><div class="md"><p>The above is two weeks worth of work probing Jev and benchmarking it against numerous other models. The TL/DR: Not frontier, still bends the

<!-- SC_OFF --><div class="md"><p>After burning way too much money on GPT-4 API calls, I finally went all-in on local models with Ollama. The progress in 2026 is insane

<!-- SC_OFF --><div class="md"><p>DeepSeek dropped the full V4 paper this week. preview from april was 58 pages, this version adds a lot of technical depth.</p> <p>What stood out

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1sa4lzt/i_benchmarked_quants_of_qwen_3_6b_from_q2q8_heres/"> <img alt="I benchmarked quants of Qwen 3 .6b

<!-- SC_OFF --><div class="md"><p>Currently using glm 4.7 flash, it’s very meh </p> <p>Heard omnicoder or Crow 9b are good, are they any better?</p> <p>Or Qwen3.5 27b?</p>

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1s7xv6u/got_a_9b_abliterated_claudedistilled_model/"> <img alt="Got a 9B Abliterated Claude-Distilled model

<!-- SC_OFF --><div class="md"><p><a

<!-- SC_OFF --><div class="md"><p>Today I set up a full coding toolbox on a single RTX 5080 (with RAM offloading) that's actually viable.</p> <p><strong>Autocomplete</strong>: