Spydaz Web AI by LeroyDyer

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  African-model   Afro-centric   Alpha-mind   Ancient-one   Art Base model:leroydyer/ spydaz w... Base model:quantized:leroydyer...   Biology   Ca   Chain-of-thought   Chemistry   Climate   Code   Cyber-series   Cybertron Dataset:abacusai/arc dpo fewsh... Dataset:abacusai/hellaswag dpo... Dataset:abacusai/metamath dpo ... Dataset:aixsatoshi/chat-with-c... Dataset:athirdpath/dpo pairs-r... Dataset:bible-nlp/biblenlp-cor... Dataset:cognitivecomputations/... Dataset:databricks/databricks-...   Dataset:datadudedev/bible Dataset:gretelai/synthetic tex... Dataset:haltiaai/her-the-movie... Dataset:hausanlp/afrisenti-twi... Dataset:heliosbrahma/mental he... Dataset:helsinki-nlp/bible par...   Dataset:huggingfacefw/fineweb Dataset:huggingfacefw/fineweb-... Dataset:huggingfacetb/cosmoped... Dataset:huggingfacetb/cosmoped... Dataset:hypersniper/philosophy... Dataset:ilyagusev/gpt roleplay... Dataset:ise-uiuc/magicoder-evo... Dataset:jtatman/hypnosis datas... Dataset:keivalya/medquad-medic... Dataset:locutusque/function-ca... Dataset:m-a-p/codefeedback-fil...   Dataset:meta-math/metamathqa Dataset:mwitiderrick/swahilipl... Dataset:occiglot/occiglot-fine... Dataset:omi-health/medical-dia...   Dataset:open-orca/openorca   Dataset:open-orca/slimorca Dataset:patronusai/financebenc...   Dataset:replete-ai/code bagel Dataset:rickrossie/bluemoon ro... Dataset:rogendo/english-swahil... Dataset:ruslanmv/ai-medical-da... Dataset:shekswess/medical llam... Dataset:shenruililin/medicalqn...   Dataset:swahili Dataset:takala/financial phras...   Dataset:teknium/openhermes-2.5   Dataset:uonlp/culturax Dataset:virattt/financial-qa-1...   Dataset:yahma/alpaca-cleaned   En   Encyclopedia   Endpoints compatible   Entity-detection   Es   Finance   Forest-of-thoughts   Gguf   Ig   Instruct   Knowledge-graph   Lcars   Legal   Medical   Mega-transformers   Megamind   Merge   Mistral   Mulit-mega-merge   Multi-lingual   Music   Quantized   Reddit   Region:us   So   Spydaz   Spydazweb   Stack-exchange   Star-trek   Sw   Tree-of-knowledge   Trl   Unsloth   Visual-spacial-sketchpad   Wikipedia

Spydaz Web AI Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Spydaz Web AI  (LeroyDyer/Spydaz_Web_AI_)

Spydaz Web AI Parameters and Internals

Model Type 
text-generation-inference, transformers, chemistry, biology, legal, art, music, finance, code, medical, climate
Use Cases 
Areas:
research, commercial applications
Applications:
text generation, inference, unsloth, mistral
Primary Use Cases:
multi-task operations, rag, function calling
Limitations:
context window limitations
Considerations:
Ensure ethical use and understanding of context window limitations
Additional Notes 
The model focuses heavily on methodology and recalling data efficiently entered into its matrix.
Supported Languages 
English (High), Swahili (Medium), Igbo (Low), Somali (Medium), Spanish (High), Catalan (Medium)
Training Details 
Data Sources:
gretelai/synthetic_text_to_sql, HuggingFaceTB/cosmopedia, teknium/OpenHermes-2.5, Open-Orca/SlimOrca, cognitivecomputations/dolphin-coder, databricks/databricks-dolly-15k, yonlp/CulturaX, mwitiderrick/SwahiliPlatypus
Data Volume:
Not specified
Methodology:
Unsloth, Huggingface TRL, chain of thoughts, graph of thoughts, graph of thoughts, multi-task operations
Context Length:
32000
Training Time:
2x faster with Unsloth
Model Architecture:
32k context window, Rope-theta=1e6
LLM NameSpydaz Web AI
Repository ๐Ÿค—https://huggingface.co/LeroyDyer/Spydaz_Web_AI_ 
Base Model(s)   Spydaz Web AI   LeroyDyer/_Spydaz_Web_AI_
Required VRAM4.4 GB
Updated2024-12-22
MaintainerLeroyDyer
Model Typemistral
Instruction-BasedYes
Model Files  4.4 GB   14.5 GB   4.4 GB   14.5 GB   4.4 GB
Supported Languagesen sw ig so es ca
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseapache-2.0

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Note: green Score (e.g. "73.2") means that the model is better than LeroyDyer/Spydaz_Web_AI_.

Rank the Spydaz Web AI Capabilities

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217