Create README.md

README.md

@@ -0,0 +1,103 @@
+---
+license: apache-2.0
+language:
+- en
+tags:
+- creative
+- story
+- writing
+- fiction
+- float32
+- roleplaying
+- rp
+- horror
+- science fiction
+- fiction writing
+- scene generation
+- scene continue
+- brainstorm 5x
+- brainstorm 10x
+- enhanced
+- space whale
+- 32 bit upscale
+pipeline_tag: text-generation
+---
+
+<H3>BRAINSTORM - 4x - Multi 3x (ed3): L3-SthenoMaidBlackroot-8B-V1 </H3>
+
+This repo contains quants 4x of L3-SthenoMaidBlackroot-8B-V1 using the "Brainstorm" method of augmenting reasoning in a LLM
+to increase it's performance at the core level for ANY creative use case(s).
+
+This version has 4 "reasoning" centers - one from the original merge, and 3 from the unmerged models (at close to full strength) 
+melded into a 4 layer reasoning center. Each of these reasoning centers is further split into 3 units and also calibrated for a total 
+of 12 "reasoning centers".
+
+The BRAINSTORM process was developed by David_AU.
+
+<B>What is "Brainstorm" ?</b>
+
+The reasoning center of an LLM is taken apart, reassembled, and expanded by 8x. 
+
+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 (4x,5x,8x,10x etc) allow more "tuning points" to further customize how the model reasons so to speak.
+
+The "Multi" reasoning system pulls "reasoning centers" from multiple models and fuses these into one long "chain of reasoning"
+so to speak. Each one is then calibrated. Each "center" interacts with the other "centers" and the order of the centers further
+impacts the model's output style - again roughly speaking.
+
+Each of these is further split, expanded and calibrated.
+
+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.
+
+Other technologies developed by David_AU like "Ultra" (precision), "Neo Imatrix" (custom imatrix datasets), and "X-quants" (custom application of the imatrix process) 
+can further enhance the performance of the model along with the "Brainstorm" process.
+
+The "Brainstorm" process has been tested on multiple LLama2, Llama3, and Mistral models of various parameter sizes, as well as on
+"root" models like "Llama3 Instruct", "Mistral Instruct", and "merged" / "fine tuned" models too. 
+
+<b>Usage Notice:</B>
+
+You may need to raise the "repeat penalty" from a default of 1.1 to slightly higher levels in some use case(s).
+
+<B>Original Model:</B>
+
+For original model specifications, usage information and other important details please see:
+
+[ https://huggingface.co/DavidAU/L3-8B-Stheno-v3.2-Ultra-NEO-V1-IMATRIX-GGUF ] 
+
+and the original model page:
+
+Special thanks to the model creators at SAO10K for making such a fantastic model:
+
+[ https://huggingface.co/Sao10K/L3-8B-Stheno-v3.2 ] 
+
+More to follow...