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Anonymous /g/105887636#105887642
7/13/2025, 4:23:04 AM
►Recent Highlights from the Previous Thread: >>105879548

--Testing base64 decoding capabilities in local LLMs:
>105884096 >105884181 >105884242 >105884310 >105884740 >105884825 >105884835 >105884863 >105884912 >105884895 >105884972 >105885637 >105885642 >105885700 >105885683 >105885763 >105885786 >105885834
--Debating model intelligence scaling through parameters vs test-time computation strategies:
>105880594 >105880626 >105880667 >105880671 >105880716
--Meta's Scout model criticized for poor training decisions and underwhelming performance despite claimed long context support:
>105882039 >105882055 >105882273 >105882656 >105882782 >105883092 >105883604 >105883646 >105883673 >105883666 >105883721
--Comparative analysis of DeepSeek and Kimi MoE models with memory management discussion:
>105886623 >105886812 >105886831 >105886956 >105886687
--Jamba GGUF conversion and roleplay generation issues in llama.cpp with tokenizer quirks:
>105885211 >105885343 >105885504 >105885592 >105885779 >105885956 >105885383
--Dream 7B diffusion model proposed for integration into llama.cpp:
>105883054 >105883100 >105883090 >105883101 >105883156
--Parsing and summarizing 4chan threads using JSON API and local models:
>105879752 >105881800 >105881899 >105881957 >105881986 >105883330
--Technical merge conflicts delay K-cache implementation for MLA amidst ongoing kv_cache rewrites:
>105881226 >105881738
--Devstral tool call syntax incompatible with standard backends, only works with llama.cpp's custom handling:
>105887017
--1T-parameter Muon model scales successfully with stable training and large-scale pre-training on 15.5T tokens:
>105880079
--Moonshot AI confirms upcoming multimodal version of Kimi K2 model:
>105884745
--Miku (free space):
>105880562 >105882450 >105883371 >105883405 >105883874 >105883990 >105884156 >105884428 >105887341 >105887371

►Recent Highlight Posts from the Previous Thread: >>105879550

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