numind/NuExtract3 · Hugging Face

<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/1tdtaqt/bytedanceseedcoladlm_hugging_face/"> <img alt="ByteDance-Seed/Cola-DLM · Hugging Face"

<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

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1sn3izh/qwen3635ba3b_released/"> <img alt="Qwen3.6-35B-A3B released!"

<!-- SC_OFF --><div class="md"><p>Link to the paper:</p> <p><a

<!-- 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>&#x200b;</p> <p>## Abstract</p> <p>Post-training makes language models more decisive without necessarily making them more accurate — and we find

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1sskmhv/recent_open_models_from_last_6_months_nov_2025/"> <img alt="Recent Open models from last 6 Months -