►Recent Highlights from the Previous Thread: >>106269950
--Paper: Mind the Gap: A Practical Attack on GGUF Quantization:
>106270678 >106270815 >106271095
--Paper: NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale:
>106271248 >106271339 >106271372 >106271474 >106271535 >106271536 >106271544 >106272548 >106272558 >106272567 >106272628 >106272565 >106272603
--Community effort to build a roleplay-optimized LLM with balanced NSFW and literary data:
>106270170 >106270215 >106270230 >106270249 >106270367 >106270380 >106270342 >106270364 >106270582 >106271101 >106271147 >106271195 >106271343 >106271608 >106271718 >106271817 >106271917 >106271939 >106271988 >106272017 >106272023 >106272037 >106272249 >106272271 >106272328 >106272569 >106272773 >106272614 >106272665 >106271924 >106271773 >106270667 >106270654
--Push for MTP support in llama.cpp with GLM and Deepseek model integration:
>106271845 >106272092 >106272206 >106272237 >106272254 >106272275 >106272285
--Implementing ChatGPT-like memory in open-weight models using RAG and frontend tools:
>106276562 >106276591 >106276604 >106276624 >106276636 >106276701 >106276796 >106276842 >106276813 >106276653 >106276750
--Overuse of samplers harms model reasoning, especially in aligned models with reduced generative diversity:
>106272048 >106272085 >106272626 >106272663 >106272694 >106272738 >106272748 >106272765
--Portable local inference for coding: remote server vs MoE model efficiency tradeoffs:
>106270221 >106270431 >106270629 >106270741 >106273103
--Upcoming llama.cpp MoE optimizations reduce VRAM usage and boost inference speed:
>106270535 >106270555 >106270625 >106271217 >106271611
--Running Qwen3-235B on 3090 via AutoRound Q2_K_S for high-context local inference:
>106276620 >106277059 >106277092
--Miku (free space):
>106272548 >106272678 >106272963
►Recent Highlight Posts from the Previous Thread: >>106269957
Why?: 9 reply limit >>102478518
Fix: https://rentry.org/lmg-recap-script