metadata

language:
  - en
  - sw
  - ig
  - so
  - es
  - ca
  - xh
  - zu
  - ha
  - tw
  - af
  - hi
  - bm
  - su
license: apache-2.0
metrics:
  - accuracy
  - bertscore
  - bleu
  - brier_score
  - cer
  - character
  - charcut_mt
  - chrf
  - code_eval
tags:
  - text-generation-inference
  - transformers
  - unsloth
  - mistral
  - trl
  - chemistry
  - biology
  - legal
  - art
  - music
  - finance
  - code
  - medical
  - not-for-all-audiences
  - merge
  - climate
  - chain-of-thought
  - tree-of-knowledge
  - forest-of-thoughts
  - visual-spacial-sketchpad
  - alpha-mind
  - knowledge-graph
  - entity-detection
  - encyclopedia
  - wikipedia
  - stack-exchange
  - Reddit
  - Cyber-series
  - MegaMind
  - Cybertron
  - SpydazWeb
  - Spydaz
  - LCARS
  - star-trek
  - mega-transformers
  - Mulit-Mega-Merge
  - Multi-Lingual
  - Afro-Centric
  - African-Model
  - Ancient-One
datasets:
  - gretelai/synthetic_text_to_sql
  - HuggingFaceTB/cosmopedia
  - teknium/OpenHermes-2.5
  - Open-Orca/SlimOrca
  - Open-Orca/OpenOrca
  - cognitivecomputations/dolphin-coder
  - databricks/databricks-dolly-15k
  - yahma/alpaca-cleaned
  - uonlp/CulturaX
  - mwitiderrick/SwahiliPlatypus
  - swahili
  - Rogendo/English-Swahili-Sentence-Pairs
  - ise-uiuc/Magicoder-Evol-Instruct-110K
  - meta-math/MetaMathQA
  - abacusai/ARC_DPO_FewShot
  - abacusai/MetaMath_DPO_FewShot
  - abacusai/HellaSwag_DPO_FewShot
  - HaltiaAI/Her-The-Movie-Samantha-and-Theodore-Dataset
  - HuggingFaceFW/fineweb
  - occiglot/occiglot-fineweb-v0.5
  - omi-health/medical-dialogue-to-soap-summary
  - keivalya/MedQuad-MedicalQnADataset
  - ruslanmv/ai-medical-dataset
  - Shekswess/medical_llama3_instruct_dataset_short
  - ShenRuililin/MedicalQnA
  - virattt/financial-qa-10K
  - PatronusAI/financebench
  - takala/financial_phrasebank
  - Replete-AI/code_bagel
  - athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW
  - IlyaGusev/gpt_roleplay_realm
  - rickRossie/bluemoon_roleplay_chat_data_300k_messages
  - jtatman/hypnosis_dataset
  - Hypersniper/philosophy_dialogue
  - Locutusque/function-calling-chatml
  - bible-nlp/biblenlp-corpus
  - DatadudeDev/Bible
  - Helsinki-NLP/bible_para
  - HausaNLP/AfriSenti-Twitter
  - aixsatoshi/Chat-with-cosmopedia
  - HuggingFaceTB/cosmopedia-100k
  - HuggingFaceFW/fineweb-edu
  - m-a-p/CodeFeedback-Filtered-Instruction
  - heliosbrahma/mental_health_chatbot_dataset
  - saillab/alpaca_lingala_taco
  - saillab/alpaca_igbo_taco
  - saillab/alpaca_sundanese_taco
  - saillab/alpaca_bambara_taco
  - proj-persona/PersonaHub
  - iamtarun/code_instructions_120k_alpaca
base_model: LeroyDyer/_Spydaz_Web_AI_004_bit

Uploaded model

Developed by: Leroy "Spydaz" Dyer
License: apache-2.0
Finetuned from model : LeroyDyer/LCARS_AI_009 [ 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.