Update README.md

README.md

@@ -1,22 +1,97 @@
 ---
 language:
 - en
+- sw
+- ig
+- so
+- es
+- ca
 license: apache-2.0
+metrics:
+- accuracy
+- bertscore
+- bleu
+- brier_score
+- cer
+- character
+- charcut_mt
+- chrf
+- code_eval
 tags:
 - text-generation-inference
 - transformers
 - unsloth
 - mistral
-- gguf
-base_model: LeroyDyer/LCARS_AI_005_DRag_001
+- trl
+- code
+- farmer
+- doctor
+- Mega-Series
+- Cyber-Series
+- Role-Play
+- Self-Rag
+- ThinkingBot
+- milestone
+- mega-series
+- SpydazWebAI
+- llama-cpp
+- gguf-my-repo
+base_model: LeroyDyer/_Spydaz_Web_AI_
 ---
 
 # Uploaded  model
 
-- **Developed by:** LeroyDyer
+- **Developed by:** Leroy "Spydaz" Dyer
 - **License:** apache-2.0
-- **Finetuned from model :** LeroyDyer/LCARS_AI_005_DRag_001
+- **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)
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)