Update README.md

README.md

@@ -118,58 +118,6 @@ of these quants will function better.
 
 Rep pen adjustments may also be required to get the most out of this model at this/these quant level(s).
 
-<B>Brainstorm 5x</B>
-
-The BRAINSTORM process was developed by David_AU.
-
-Some of the core principals behind this process are discussed in this <a href="https://arxiv.org/pdf/2401.02415"> 
-scientific paper : Progressive LLaMA with Block Expansion </a>. 
-
-However I went in a completely different direction from what was outlined in this paper.
-
-What is "Brainstorm" ?
-
-The reasoning center of an LLM is taken apart, reassembled, and expanded.
-
-In this case for this model: 5 times
-
-Then these centers are individually calibrated. These "centers" also interact with each other. 
-This introduces subtle changes into the reasoning process. 
-The calibrations further adjust - dial up or down - these "changes" further. 
-The number of centers (5x,10x etc) allow more "tuning points" to further customize how the model reasons so to speak.
-
-The core aim of this process is to increase the model's detail, concept and connection to the "world", 
-general concept connections, prose quality and prose length without affecting instruction following. 
-
-This will also enhance any creative use case(s) of any kind, including "brainstorming", creative art form(s) and like case uses.
-
-Here are some of the enhancements this process brings to the model's performance:
-
-- Prose generation seems more focused on the moment to moment. 
-- Sometimes there will be "preamble" and/or foreshadowing present.
-- Fewer or no "cliches"
-- Better overall prose and/or more complex / nuanced prose.
-- A greater sense of nuance on all levels.
-- Coherence is stronger.
-- Description is more detailed, and connected closer to the content.
-- Simile and Metaphors are stronger and better connected to the prose, story, and character.
-- Sense of "there" / in the moment is enhanced.
-- Details are more vivid, and there are more of them.
-- Prose generation length can be long to extreme.
-- Emotional engagement is stronger.
-- The model will take FEWER liberties vs a normal model: It will follow directives more closely but will "guess" less.
-- The MORE instructions and/or details you provide the more strongly the model will respond.
-- Depending on the model "voice" may be more "human" vs original model's "voice".
-
-Other "lab" observations:
-
-- This process does not, in my opinion, make the model 5x or 10x "smarter" - if only that was true! 
-- However, a change in "IQ" was not an issue / a priority, and was not tested or calibrated for so to speak.
-- From lab testing it seems to ponder, and consider more carefully roughly speaking.
-- You could say this process sharpens the model's focus on it's task(s) at a deeper level.
-
-The process to modify the model occurs at the root level - source files level. The model can quanted as a GGUF, EXL2, AWQ etc etc.
-
 <B>Models Used:</b>
 
 This is a high precision "DARE TIES" merge at the layer level (each layer per model adjusted - 168 points of adjustment over the 4 models) comprised of these models:
@@ -343,3 +291,59 @@ A low, guttural moan echoed from somewhere within the tower, vibrating through m
 Frozen on the precarious metal perch, trapped between the skeletal promise of the fire escape and the seething emerald abyss closing in behind me, I tasted ash and understood.  Escape wasn't an option. Survival was a forgotten dream. This wasn't a fight. This was supplication. A silent plea whispered against the symphony of horrors beginning to unfold beyond the shattered windows of my world. The emerald dawn had broken, and with it, the feast.  heridoeand I was the unwilling appetizer. 
 
 
+---
+
+<h2>What is Brainstorm?</h2>
+
+<B>Brainstorm 5x</B>
+
+The BRAINSTORM process was developed by David_AU.
+
+Some of the core principals behind this process are discussed in this <a href="https://arxiv.org/pdf/2401.02415"> 
+scientific paper : Progressive LLaMA with Block Expansion </a>. 
+
+However I went in a completely different direction from what was outlined in this paper.
+
+What is "Brainstorm" ?
+
+The reasoning center of an LLM is taken apart, reassembled, and expanded.
+
+In this case for this model: 5 times
+
+Then these centers are individually calibrated. These "centers" also interact with each other. 
+This introduces subtle changes into the reasoning process. 
+The calibrations further adjust - dial up or down - these "changes" further. 
+The number of centers (5x,10x etc) allow more "tuning points" to further customize how the model reasons so to speak.
+
+The core aim of this process is to increase the model's detail, concept and connection to the "world", 
+general concept connections, prose quality and prose length without affecting instruction following. 
+
+This will also enhance any creative use case(s) of any kind, including "brainstorming", creative art form(s) and like case uses.
+
+Here are some of the enhancements this process brings to the model's performance:
+
+- Prose generation seems more focused on the moment to moment. 
+- Sometimes there will be "preamble" and/or foreshadowing present.
+- Fewer or no "cliches"
+- Better overall prose and/or more complex / nuanced prose.
+- A greater sense of nuance on all levels.
+- Coherence is stronger.
+- Description is more detailed, and connected closer to the content.
+- Simile and Metaphors are stronger and better connected to the prose, story, and character.
+- Sense of "there" / in the moment is enhanced.
+- Details are more vivid, and there are more of them.
+- Prose generation length can be long to extreme.
+- Emotional engagement is stronger.
+- The model will take FEWER liberties vs a normal model: It will follow directives more closely but will "guess" less.
+- The MORE instructions and/or details you provide the more strongly the model will respond.
+- Depending on the model "voice" may be more "human" vs original model's "voice".
+
+Other "lab" observations:
+
+- This process does not, in my opinion, make the model 5x or 10x "smarter" - if only that was true! 
+- However, a change in "IQ" was not an issue / a priority, and was not tested or calibrated for so to speak.
+- From lab testing it seems to ponder, and consider more carefully roughly speaking.
+- You could say this process sharpens the model's focus on it's task(s) at a deeper level.
+
+The process to modify the model occurs at the root level - source files level. The model can quanted as a GGUF, EXL2, AWQ etc etc.
+