<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1s0d4lp/nemotrocascade_2_uncensored_mac_only_10gb_66_mmlu/"> <img alt="Nemotro-Cascade 2 Uncensored (Mac
<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1szrbub/qwenscope_official_sparse_autoencoders_saes_for/"> <img alt="Qwen-Scope: Official Sparse
<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/1s5ardk/i_compressed_all_2023_state_of_the_art_into_an/"> <img alt="I compressed all 2023 State of the Art
<!-- SC_OFF --><div class="md"><p>With the <a href="https://www.reddit.com/r/LocalLLaMA/s/3mi8ohC5nN">recent change</a> leading to -hf downloaded models being moved and saved as
<!-- SC_OFF --><div class="md"><p>One thing we’ve been noticing lately is that a surprisingly large percentage of day-to-day AI workflows no longer seem to require frontier-scale
<!-- 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><a href="https://huggingface.co/unsloth/gemma-4-E2B-it-GGUF">https://huggingface.co/unsloth/gemma-4-E2B-it-GGUF</a></p> <p><a
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