DavidAU
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Psyonic-Cetacean-V1-20B-Ultra-Quality-Float32

Text Generation

full 32 bit precision

text-generation-inference

Inference Endpoints

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DavidAU commited on Jun 1

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@@ -30,7 +30,8 @@ Please view either repo for details on the remaster's results, and other importa
 These are "final" result files of the full precision rebuild (including end result merge(s)) minus
 GGUF and Imatrix level upscaling / adjustments which occuring during "GGUFing" processes.
-If you use these to create your own GGUFs, please use "outfile" at F32 for best results.
 Imatrix processes should use a stable dataset(s) of at least 500 "chunks" or more.
 If smaller dataset(s) are used this may corrupt or reduce the quality of the Imatrix builds.
@@ -53,6 +54,6 @@ of prompts in usage. This is a factor due to the precision upscale.
 Doing this will ensure the quality of the upscale is maximized in the GGUFs.
-Happy GGUFing, EXL2ing, GPTQing, AWQing, HQQing.
 Long live open source!

 These are "final" result files of the full precision rebuild (including end result merge(s)) minus
 GGUF and Imatrix level upscaling / adjustments which occuring during "GGUFing" processes.
+If you use these to create your own GGUFs, please use "outfile" at F32 for best results. If
+you use F16 this will reduce the quality by a factor of 2 or higher.
 Imatrix processes should use a stable dataset(s) of at least 500 "chunks" or more.
 If smaller dataset(s) are used this may corrupt or reduce the quality of the Imatrix builds.
 Doing this will ensure the quality of the upscale is maximized in the GGUFs.
+Happy GGUFing, EXL2ing, GPTQing, AWQing, HQQing and of course "Merging".
 Long live open source!