transformers gguf mergekit merge base_model:LeroyDyer/LCARS_TOP_SCORE base_model:merge:LeroyDyer/LCARS_TOP_SCORE base_model:LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_001 base_model:merge:LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_001 base_model:LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_AdvancedStudent base_model:merge:LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_AdvancedStudent base_model:LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_Coder base_model:merge:LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_Coder endpoints_compatible region:us conversational
---
base_model:
- LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_Coder
- LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_AdvancedStudent
- LeroyDyer/LCARS_TOP_SCORE
- LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_001
library_name: transformers
tags:
- mergekit
- merge
---
Rank 1588 - TOP MISTRAL 7B
# Winners create more winners, while losers do the opposite.
Success is a game of winners.

— # Leroy Dyer (1972-Present)
<img src="https://cdn-avatars.huggingface.co/v1/production/uploads/65d883893a52cd9bcd8ab7cf/tRsCJlHNZo1D02kBTmfy9.jpeg" width="300"/>

# The Human AI .

# PERSONAL NOTE :

Problem is maths ! When maths goes up Musr Goes down even bbh goes down : 
So i created the teacher model ( top Teacher ) problems is Merges dont always goe exactly to the calculations ! the tey acher model does have greater maths but it also went down !
SO!  -- I have the batch training i done on that model , ie the scripts for the training session setup ( no Merging loras ! also not great ideas in the end !)
SO : I will retrain this model on Rank 64 + the new maths scripts ! And benchmark leader board again !
Currently this is the top model for mistral models ( 7B class ) 
------>>>> Lamma 8b is higher (only a few) and Qwens are higher !!! They are the current highest model for open source right now ! 

I only am competing with the 7b models !

a 1.5b model is top of the maths benchmark !





# Deep thinking Model - Highly Trained om Multiple Datasets

The base model has been created as a new staarting point : It has been fully primed with various types of chains of thoughts and step by step solutions : enabling for reward training to take place . this model has been trained with various languges ( not intensivly ), enabling for cross languge understanding ; 
Here we create a valid start point for agent based modelling , As we find that some training actually affects existing knowledge , hence agents become a thing ! or if you prefr, distillations ....
These agents can be medical , technical , roleplayers etc . 

This model was trained on various datasets , such as the basic math ones . As well as some adaced reasoning tasks. here we experiment with various styles of data from finacial to medical to coding (althugh this seemms to have an issue with very long context ,, as the servers seems to crash out a lot whe pushing larger cotext and rewards - suggestion , only 1 sample perstep can solve it), very impressive with its diagnsis skill for medical.

# SpydazWeb AI (7b Mistral) (512k)

This model has been trained to perform with contexts of 512k , although in training it has been trained mainly with the 2048 for general usage : the long context aspect also allows fro advanced projects and sumarys as well as image and audio translationns and generations:

Highly trained as well as methodolgy oriented , this model has been trained on the reAct Prcess and other structured processes . hence structured outputs (json) are very highly trained as well as orchestration of other agents and tasks : the model has been trained for tools use as well as funtion use : as well as custom processes and tools : some tools do not need code either as thier implication means the model may even generate a tool or artifct to perfrom the task :



A New genrea of AI ! This is Trained to give highly detailed humanized responses : Performs tasks well, a Very good model for multipupose use : the model has been trained to become more human in its reposes as well as role playing and story telling : This latest model has been trained on Conversations with a desire to respond with expressive emotive content , As well as discussions on various topics: It has also been focused on conversations by human interactions. hence there maybe NFSW contet in the model : This has no way inhibited its other tasks which were also aligned using the new intensive and Expressive prompt :
## Thinking Humanly:

AI aims to model human thought, a goal of cognitive science across fields like psychology and computer science.
## Thinking Rationally:

AI also seeks to formalize “laws of thought” through logic, though human thinking is often inconsistent and uncertain.
## Acting Humanly:

Turing's test evaluates AI by its ability to mimic human behavior convincingly, encompassing skills like reasoning and language.
## Acting Rationally:

Russell and Norvig advocate for AI that acts rationally to achieve the best outcomes, integrating reasoning and adaptability to environments.

