Create README.md
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README.md
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---
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license: apache-2.0
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language:
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- en
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tags:
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- creative
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- story
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- writing
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- fiction
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- float32
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- roleplaying
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- rp
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- enhanced
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- space whale
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- 32 bit upscale
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---
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<font color=red><h3> Ultra Quality High Remaster of the incredible: Psyonic-Cetacean-20b - Imatrix Plus 2. </h3></font>
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This is a Floating Point 32 upscale, where all components and merges were remastered to floating point 32.
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This includes all the merges (recreated with master files), and where possible subbing full FP32 models.
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This repo contains the new Imatrix Plus 2 quants using a new inhouse dataset merged with a master dataset
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to push performance of the Ultra Quality remaster even higher.
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<img src="space-whale-thinking.jpg">
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The goal: Carry forward maximum precision right up to the point where it is "GUFFed".
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This includes F32 master file for GGUF too... at a whopping 78 GBs.
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WHY?
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Because the difference between F32 vs BF16 is... over 8 DECIMAL places.
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And as each merge / model is modified there are "losses" along the way.
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These losses are carried forward and in turn lead to more losses.
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And decimal points are critical to model performance.
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SMALL?
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Yes... but multipled by each merge(s), and compression(s): 20 billion times.
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<B>The result:</b>
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At Q2K an impressive drop of 533 points in perplexity. (lower is better)
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(VS: Q2K original base model: PPL = 9.8077 +/- 0.06821 )
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At Q4KM a whopping drop of 976 points in perplexity.
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(VS: Q4km original base model -> PPL = 8.7858 +/- 0.06074)
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At Q6 an awesome drop of 234 points in perplexity.
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(VS: Q6 original base model -> PPL = 8.6070 +/- 0.05907 )
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To put this in perspective "Q6" now operates ABOVE the original full precision version of "Psyonic-Cetacean-20b"
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and Q4KM operates at close to Q6 level quality.
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This because at "Q6" the quant / compressed model is considered to be accurate within "+0.0008 ppl" of the full,
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uncompressed / unquanted model and it exceeds this threshold by over 200 points.
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<I> Imatrix quants take this even further in most cases DOUBLING the "drop" in perplexity realized in the reg quants. </i>
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Q4km-imatrix :
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Final estimate: PPL = 8.6095 +/- 0.05898
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(Non imatrix: Final estimate: PPL = 8.6902 +/- 0.05985 )
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(VS: Q4km base model -> PPL = 8.7858 +/- 0.06074)
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(VS: Q6 BASE model -> Final estimate: PPL = 8.6070 +/- 0.05907 Q6)
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But... what about Q8?
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The mountain moved:
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150 points better: PPL = 8.5850 +/- 0.05881 VS: BASE/ORGINAL: PPL = 8.6012 +/- 0.05900
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<B>THE RESULTS ARE IN: </b>
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AS per Jeb Carter, orginal creator of the model:
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- instruction following has improved dramatically.
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- new abilities have emerged.
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- he had to REDUCE the instructions sets used because the model no longer needed as specific instructions.
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- prose, nuance and depth have all improved.
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- known issues with the original model have disappeared.
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This is not "something for nothing" ; it is method of ensuring maximum precision at every step just before "ggufing" the model.
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The methods employed only ensure precision loss is minimized or eliminated.
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It is mathematical and theory sound.
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<B>The bottom line here is this:</b>
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Higher quality instruction following and output.
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Likewise you can use a smaller compression, with higher token per second and still get great quality.
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Same great model... turbo charged.
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This is the first group of remasters.
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<B>The FOUR Horsemen:</B>
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This repo will be followed by a "reg quant plus" repo, which added additional components into the GGUF (all levels) at floating point 32
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precision to further increase the sheer creativity and raw AI horsepower.
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This process shaves at extra 50-100 points off perplexity... again.
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Following this group will be a full float 32 precision Imatrix (including reg quants "imatrixed").
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Test results VS org and "ultra" regular quants will be posted when they come in.
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Imatrix Plus repo (with the same floating 32 enhancement at "reg quant plus") that will push the limit even more.
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Details of all methods (and pitfalls to avoid) employed to make this high precision remasters will be
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posted shortly along with comparisions of original model and new ultra remaster.
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Thanks again to Jeb Carter, the original creator of "Psyonic-Cetacean 20B"
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[ https://huggingface.co/jebcarter/psyonic-cetacean-20B ]
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