Transformers
GGUF
44 datasets
6 languages
mistral
text-generation-inference
unsloth
trl
chemistry
biology
legal
art
music
finance
code
medical
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
Inference Endpoints
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README.md
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language:
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- en
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license: apache-2.0
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tags:
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- text-generation-inference
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- transformers
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- unsloth
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- mistral
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---
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# Uploaded model
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- **Developed by:**
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- **License:** apache-2.0
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- **Finetuned from model :** LeroyDyer/
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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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---
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language:
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- en
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- sw
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- ig
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- so
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- es
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- ca
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license: apache-2.0
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metrics:
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- accuracy
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- bertscore
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- bleu
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- brier_score
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- cer
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- character
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- charcut_mt
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- chrf
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- code_eval
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tags:
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- text-generation-inference
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- transformers
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- unsloth
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- mistral
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- trl
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- code
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- farmer
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- doctor
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- Mega-Series
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- Cyber-Series
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- Role-Play
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- Self-Rag
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- ThinkingBot
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- milestone
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- mega-series
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- SpydazWebAI
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- llama-cpp
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- gguf-my-repo
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base_model: LeroyDyer/_Spydaz_Web_AI_
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# Uploaded model
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- **Developed by:** Leroy "Spydaz" Dyer
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- **License:** apache-2.0
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- **Finetuned from model :** LeroyDyer/LCARS_AI_009
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[<img src="https://cdn-avatars.huggingface.co/v1/production/uploads/65d883893a52cd9bcd8ab7cf/tRsCJlHNZo1D02kBTmfy9.jpeg" width="300"/>
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https://github.com/spydaz
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* The Mistral-7B-Instruct-v0.2 Large Language Model (LLM) is an instruct fine-tuned version of the Mistral-7B-v0.2.
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* Mistral-7B-v0.2 has the following changes compared to Mistral-7B-v0.1
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* 32k context window (vs 8k context in v0.1)
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* Rope-theta = 1e6
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* No Sliding-Window Attention
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# Introduction :
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## SpydazWeb AI model :
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### Methods:
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Trained for multi-task operations as well as rag and function calling :
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This model is a fully functioning model and is fully uncensored:
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the model has been trained on multiple datasets on the huggingface hub and kaggle :
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the focus has been mainly on methodology :
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* Chain of thoughts
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* steo by step
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* tree of thoughts
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* forest of thoughts
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* graph of thoughts
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* agent generation : Voting, ranking, ...
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with these methods the model has gained insights into tasks, enabling for knowldge transfer between tasks :
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the model has been intensivly trained in recalling data previously entered into the matrix:
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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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