<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1thkwgk/bytedance_released_an_open_source_model_that/"> <img alt="bytedance released an open source model
<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1tkhngq/new_supra50m_released/"> <img alt="[NEW] Supra-50M Released!"
<p>Instead of replacing the main model with a more expensive multimodal model, I gave a text-only agent an on-demand visual sensor.</p> <p>Many coding agents can already read
<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1s59rct/rys_part_3_llms_think_in_geometry_not_language/"> <img alt="RYS Part 3: LLMs think in geometry, not
<!-- SC_OFF --><div class="md"><p>​</p> <p>## Abstract</p> <p>Post-training makes language models more decisive without necessarily making them more accurate — and we find
<!-- SC_OFF --><div class="md"><p>Open-source AI is evolving insanely fast, but it’s hard to know which model is actually best for each use case. So I put together a list of 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>Link to the paper:</p> <p><a
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