apache-2.0

DavidAU/Maximizing-Model-Performance-All-Quants-Types-And-Full-Precision-by-Samplers_Parameters

huggingface.co/DavidAU/Maximizing-Model-Performance-All-Quants-Types-And-Full-Precision-by-Samplers_Parameters

246Likes
0Downloads
2025-07-27Updated
parameters guidesamplers guidemodel generationrole play settingsquant selectionarm quantsiq quants vs q quantsoptimal model settinggibberish fixescoherenceinstructing followingquality generationchat settingsquality settingsllamacpp serverllamacpplmstudiosillytavernkoboldcppbackyardollamamodel generation steeringsteeringmodel generation fixes
The README has not been fetched yet (metadata-first ingest). The model page and the metadata below are live.

Model card

Mirrored from the Hugging Face Hub and served from the Conceptio Open Knowledge Archive. Read the original card at https://huggingface.co/DavidAU/Maximizing-Model-Performance-All-Quants-Types-And-Full-Precision-by-Samplers_Parameters.
Legal contextLicense apache-2.0 · EU AI Act — Art. 53 (GPAI model obligations)