DavidAU commited on
Commit
ed6f75a
1 Parent(s): 307ba20

Create README.md

Browse files
Files changed (1) hide show
  1. README.md +85 -0
README.md ADDED
@@ -0,0 +1,85 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ language:
4
+ - en
5
+ tags:
6
+ - creative
7
+ - story
8
+ - writing
9
+ - fiction
10
+ - roleplaying
11
+ - rp
12
+ - horror
13
+ - science fiction
14
+ - fiction writing
15
+ - scene generation
16
+ - scene continue
17
+ - brainstorm 5x
18
+ - enhanced
19
+ - llama3
20
+ pipeline_tag: text-generation
21
+ ---
22
+
23
+ <H3>BRAINSTORM 5x: Meta-Llama-3-8B Instruct, Formula #7 </H3>
24
+
25
+ This repo contains quants 5x of Meta-Llama-3-8B Instruct using the "Brainstorm" method of augmenting reasoning in a LLM
26
+ to increase it's performance at the core level for ANY creative use case(s).
27
+
28
+ This specific version has calibrations that allow it to exceed the logic solving abilities of the original model.
29
+
30
+ The BRAINSTORM process was developed by David_AU.
31
+
32
+ Some of the core principals behind this process are discussed in this <a href="https://arxiv.org/pdf/2401.02415">
33
+ scientific paper : Progressive LLaMA with Block Expansion </a>.
34
+ However I went in a completely different direction from what was outlined in this paper.
35
+
36
+ <B>What is "Brainstorm" ?</b>
37
+
38
+ The reasoning center of an LLM is taken apart, reassembled, and expanded by 5x.
39
+ Then these centers are individually calibrated. These "centers" also interact with each other. This introduces
40
+ subtle changes into the reasoning process. The calibrations further adjust - dial up or down - these "changes" further. The
41
+ number of centers (5x,10x etc) allow more "tuning points" to further customize how the model reasons so to speak.
42
+
43
+ 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
44
+ instruction following. This will also enhance any creative use case(s) of any kind, including "brainstorming", creative art form(s) and like case uses.
45
+
46
+ Here are some of the enhancements this process brings to the model's performance:
47
+
48
+ - Prose generation seems more focused on the moment to moment.
49
+ - Sometimes there will be "preamble" and/or foreshadowing present.
50
+ - Fewer or no "cliches"
51
+ - Better overall prose and/or more complex / nuanced prose.
52
+ - A greater sense of nuance on all levels.
53
+ - Coherence is stronger.
54
+ - Description is more detailed, and connected closer to the content.
55
+ - Simile and Metaphors are stronger and better connected to the prose, story, and character.
56
+ - Sense of "there" / in the moment is enhanced.
57
+ - Details are more vivid, and there are more of them.
58
+ - Prose generation length can be long to extreme.
59
+ - Emotional engagement is stronger.
60
+ - The model will take FEWER liberties vs a normal model: It will follow directives more closely but will "guess" less.
61
+ - The MORE instructions and/or details you provide the more strongly the model will respond.
62
+ - Depending on the model "voice" may be more "human" vs original model's "voice".
63
+
64
+ Other "lab" observations:
65
+
66
+ - This process does not, in my opinion, make the model 5x or 10x "smarter" - if only that was true!
67
+ - However, a change in "IQ" was not an issue / a priority, and was not tested or calibrated for so to speak.
68
+ - From lab testing it seems to ponder, and consider more carefully roughly speaking.
69
+ - You could say this process sharpens the model's focus on it's task(s) at a deeper level.
70
+
71
+ 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.
72
+
73
+ Other technologies developed by David_AU like "Ultra" (precision), "Neo Imatrix" (custom imatrix datasets), and "X-quants" (custom application of the imatrix process)
74
+ can further enhance the performance of the model along with the "Brainstorm" process.
75
+
76
+ The "Brainstorm" process has been tested on multiple LLama2, Llama3, and Mistral models of various parameter sizes, as well as on
77
+ "root" models like "Llama3 Instruct", "Mistral Instruct", and "merged" / "fine tuned" models too.
78
+
79
+ For original model specifications, usage information and other important details:
80
+
81
+ Special thanks to the model creators at META for making such a fantastic model:
82
+
83
+ [ https://huggingface.co/meta-llama/Meta-Llama-3-8B ]
84
+
85
+ More to follow...