►Recent Highlights from the Previous Thread: >>106258087

--Papers:
>106258788 >106261734
--Training small LLMs from scratch on niche datasets despite data and compute limitations:
>106258611 >106258667 >106258814 >106260210 >106260387 >106258725 >106258737 >106258779 >106259005 >106259093 >106259136 >106259222 >106259266 >106259351 >106262827 >106260317 >106260555
--Local LLM storywriting with controlled narrative flow using Mikupad and GLM Air:
>106258516 >106258562 >106258997 >106261251 >106261312 >106261456 >106258644 >106259037 >106259122 >106259258
--Lightweight HTML-based prompt manager with local encryption and tagging features:
>106260088 >106260219 >106260311 >106260323 >106260290 >106260319
--Gemma-3-270m release met with skepticism over performance, censorship and speculative decoding flaws:
>106259392 >106259419 >106259536 >106259624 >106259627 >106259689 >106259714 >106259869 >106259913 >106259974 >106260027 >106260096 >106260237 >106260048 >106261535
--Long-context model performance and quality tradeoffs in benchmarking:
>106262703 >106262766 >106262823
--Small Gemma model performance expectations given massive training data:
>106262238 >106262260 >106262266 >106262309 >106262316 >106262383 >106262404 >106262492 >106262314 >106262334 >106262345 >106262486
--GPU offloading underperforms CPU for 12B-Q4 model inference:
>106261470 >106261990 >106262029 >106262217
--Mainstream media mocks ChatGPT's failure to label a map and OpenAI's GPT-5 struggles:
>106258105 >106258120 >106258122 >106258163 >106258273 >106258161
--Qwen3 model thinking block tag mismatch in SillyTavern chat completion mode:
>106263300 >106263343 >106263348 >106263534
--Llama.cpp performance tuning struggles on Arch Linux:
>106260015
--Switch to Euler Ancestral for less repetitive qwen-image outputs:
>106262607
--Miku (free space):
>106258129 >106260825

►Recent Highlight Posts from the Previous Thread: >>106258088

Why?: 9 reply limit >>102478518
Fix: https://rentry.org/lmg-recap-script