---
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
[<img src="https://cdn-avatars.huggingface.co/v1/production/uploads/65d883893a52cd9bcd8ab7cf/tRsCJlHNZo1D02kBTmfy9.jpeg" width="300"/>
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](https://github.com/unslothai/unsloth) and Huggingface's TRL library.

[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)