Endgame Drivers
The only models still kept on my SSD for creative writing, knowledge and RP.
111B • Updated • 261 • 29Note Deepest knowledge despite shorter outputs. Used less often than Cydonia or GLM Air due to its slow speed. However it is still my #1 favorite model of all time and can "set the tone" for other models to continue from. - For my system I use IQ2_XXS.gguf --flashattention --contextsize 8192 --gpulayers 12
BeaverAI/Cydonia-24B-v4x-GGUF
24B • Updated • 183 • 5Note My #1 most used model currently, works well with SRP. Smarter than v4.3. Cyberdonia v8 is more compliant on a fresh prompt but after a few replies v4x is better. Very few refusals/disclaimers; if you need 100% uncensored outputs use Cyberdonia v8 or v11 to start, although those merges tend to become more antagonistic the more the context grows. - Stable up to 128K context using Q4_K_M, or a bit faster with 64K --contextsize 65536 --gpulayers 12
Naphula/GLM-4.5-Air-Abliterated-FQ3_K_XL-GGUF
Text Generation • 107B • Updated • 266 • 5Note #2 most used. The best uncensored knowledge /speed ratio, works well with SRP and in conjunction with Cydonia. - Stable up to 32K context before hitting pagefile on my system, 16K for fully offloaded MoE
mlabonne/gemma-3-27b-it-abliterated
Image-Text-to-Text • 27B • Updated • 3.72k • • 346Note Better than Gemma 4 for uncensored tasks and translations, works well with SRP. - Recommended IQ4_XS for 8GB VRAM max supported context 28K --flashattention --contextsize 28672 --gpulayers 14
EldritchLabs/MN-12B-Mag-Mell-R1-Uncensored-Scale1.2
Text Generation • 12B • Updated • 78 • • 14Note Favorite 12B, works well for dataset generation, much better prose than Gemma 4. - IQ4_NL fits entirely on VRAM with 4K context