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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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- roleplaying |
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- rp |
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- horror |
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- science fiction |
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- fiction writing |
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- scene generation |
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- scene continue |
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- brainstorm 5x |
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- enhanced |
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- llama3 |
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pipeline_tag: text-generation |
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--- |
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(quants uploading, examples to be added) |
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<H3>BRAINSTORM 5x: Meta-Llama-3-8B Instruct (now at 8.9B), Formula #7 </H3> |
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This repo contains quants 5x of Meta-Llama-3-8B Instruct (now at 8.9B) using the "Brainstorm" method of augmenting reasoning in a LLM |
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to increase it's performance at the core level for ANY creative use case(s). |
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This specific version has calibrations that allow it to exceed the logic solving abilities of the original model. |
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The BRAINSTORM process was developed by David_AU. |
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Some of the core principals behind this process are discussed in this <a href="https://arxiv.org/pdf/2401.02415"> |
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scientific paper : Progressive LLaMA with Block Expansion </a>. |
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However I went in a completely different direction from what was outlined in this paper. |
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<B>What is "Brainstorm" ?</b> |
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The reasoning center of an LLM is taken apart, reassembled, and expanded by 5x. |
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Then these centers are individually calibrated. These "centers" also interact with each other. This introduces |
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subtle changes into the reasoning process. The calibrations further adjust - dial up or down - these "changes" further. The |
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number of centers (5x,10x etc) allow more "tuning points" to further customize how the model reasons so to speak. |
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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 |
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instruction following. This will also enhance any creative use case(s) of any kind, including "brainstorming", creative art form(s) and like case uses. |
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Here are some of the enhancements this process brings to the model's performance: |
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- Prose generation seems more focused on the moment to moment. |
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- Sometimes there will be "preamble" and/or foreshadowing present. |
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- Fewer or no "cliches" |
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- Better overall prose and/or more complex / nuanced prose. |
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- A greater sense of nuance on all levels. |
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- Coherence is stronger. |
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- Description is more detailed, and connected closer to the content. |
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- Simile and Metaphors are stronger and better connected to the prose, story, and character. |
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- Sense of "there" / in the moment is enhanced. |
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- Details are more vivid, and there are more of them. |
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- Prose generation length can be long to extreme. |
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- Emotional engagement is stronger. |
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- The model will take FEWER liberties vs a normal model: It will follow directives more closely but will "guess" less. |
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- The MORE instructions and/or details you provide the more strongly the model will respond. |
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- Depending on the model "voice" may be more "human" vs original model's "voice". |
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Other "lab" observations: |
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- This process does not, in my opinion, make the model 5x or 10x "smarter" - if only that was true! |
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- However, a change in "IQ" was not an issue / a priority, and was not tested or calibrated for so to speak. |
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- From lab testing it seems to ponder, and consider more carefully roughly speaking. |
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- You could say this process sharpens the model's focus on it's task(s) at a deeper level. |
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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. |
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Other technologies developed by David_AU like "Ultra" (precision), "Neo Imatrix" (custom imatrix datasets), and "X-quants" (custom application of the imatrix process) |
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can further enhance the performance of the model along with the "Brainstorm" process. |
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The "Brainstorm" process has been tested on multiple LLama2, Llama3, and Mistral models of various parameter sizes, as well as on |
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"root" models like "Llama3 Instruct", "Mistral Instruct", and "merged" / "fine tuned" models too. |
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For original model specifications, usage information and other important details: |
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Special thanks to the model creators at META for making such a fantastic model: |
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[ https://huggingface.co/meta-llama/Meta-Llama-3-8B ] |
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More to follow... |
