<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
<p>Most teams don't need a 70B parameter model. They need something that fits on a single GPU, responds in milliseconds, and handles the actual workload without burning through
<!-- SC_OFF --><div class="md"><p>So far I have only tried Qwen and olmOCR. My biggest struggle at the moment has been extracting a date that is oriented in a title block, where
<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1s5ardk/i_compressed_all_2023_state_of_the_art_into_an/"> <img alt="I compressed all 2023 State of the Art
<p>In the first eight weeks of 2026, ten major open-weight LLM architectures were released.</p> <p>GLM-5 matched GPT-5.2 and Claude Opus 4.6 on benchmarks. Step 3.5 Flash
<h2> TL;DR </h2> <ul> <li> <strong>DeepSeek V4 shipped April 24, 2026</strong> in two flavours: <strong>V4-Pro</strong> (1.6T MoE / 49B active) and <strong>V4-Flash</strong> (284B
<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1sfmfux/v4_43_stt_models_on_medical_audio_ranked_by_a_new/"> <img alt="v4: 43 STT models on medical audio,
<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 -
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