LeroyDyer/Spydaz_Web_AI_

Uploaded model

• Developed by: Leroy "Spydaz" Dyer
• License: apache-2.0
• Finetuned from model : LeroyDyer/SpydazWebAI_004 [ https://github.com/spydaz

• The Mistral-7B-Instruct-v0.2 Large Language Model (LLM) is an instruct fine-tuned version of the Mistral-7B-v0.2.

• Mistral-7B-v0.2 has the following changes compared to Mistral-7B-v0.1

  • 32k context window (vs 8k context in v0.1)
  • Rope-theta = 1e6
  • No Sliding-Window Attention

Introduction :

SpydazWeb AI model :

Methods:

Trained for multi-task operations as well as rag and function calling :

This model is a fully functioning model and is fully uncensored:

the model has been trained on multiple datasets on the huggingface hub and kaggle :

the focus has been mainly on methodology :

• Chain of thoughts
• steo by step
• tree of thoughts
• forest of thoughts
• graph of thoughts
• agent generation : Voting, ranking, ...

with these methods the model has gained insights into tasks, enabling for knowldge transfer between tasks :

the model has been intensivly trained in recalling data previously entered into the matrix:

This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.