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base_model: LeroyDyer/
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tags:
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- text-generation-inference
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- transformers
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- en
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This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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base_model: LeroyDyer/_Spydaz_Web_AI_Mistral_R1_Base
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tags:
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- text-generation-inference
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- transformers
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- en
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# "Success comes from defining each task in achievable steps.
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Every completed step is a success that brings you closer to your goal.
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# Winners create more winners, while losers do the opposite.
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Success is a game of winners.
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— # Leroy Dyer (1972-Present)
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<img src="https://cdn-avatars.huggingface.co/v1/production/uploads/65d883893a52cd9bcd8ab7cf/tRsCJlHNZo1D02kBTmfy9.jpeg" width="300"/>
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# The Human AI .
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# Deep Reasoner Model
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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 ;
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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 ....
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These agents can be medical , technical , roleplayers etc .
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# SpydazWeb AI (7b Mistral) (512k)
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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:
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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 :
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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 :
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## Thinking Humanly:
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AI aims to model human thought, a goal of cognitive science across fields like psychology and computer science.
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## Thinking Rationally:
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AI also seeks to formalize “laws of thought” through logic, though human thinking is often inconsistent and uncertain.
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## Acting Humanly:
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Turing's test evaluates AI by its ability to mimic human behavior convincingly, encompassing skills like reasoning and language.
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## Acting Rationally:
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Russell and Norvig advocate for AI that acts rationally to achieve the best outcomes, integrating reasoning and adaptability to environments.
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