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SpyazWeb AI DeepMind Project by LeroyDyer

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  Autotrain compatible Dataset:abacusai/arc dpo fewsh... Dataset:abacusai/hellaswag dpo... Dataset:abacusai/metamath dpo ... Dataset:cognitivecomputations/... Dataset:databricks/databricks-... Dataset:gretelai/synthetic tex... Dataset:haltiaai/her-the-movie... Dataset:huggingfacetb/cosmoped... Dataset:ise-uiuc/magicoder-evo...   Dataset:meta-math/metamathqa Dataset:mwitiderrick/swahilipl...   Dataset:open-orca/openorca   Dataset:open-orca/slimorca Dataset:rogendo/english-swahil...   Dataset:swahili   Dataset:teknium/openhermes-2.5   Dataset:uonlp/culturax   Dataset:yahma/alpaca-cleaned   Doi:10.57967/hf/2837   En   Endpoints compatible   Instruct   Leaderboard   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow   Trl

SpyazWeb AI DeepMind Project Benchmarks

LLME Score: 0.21542
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

SpyazWeb AI DeepMind Project Parameters and Internals

Model Type 
text-generation-inference, transformers
Additional Notes 
The model was developed using advanced training techniques with Unsloth and Huggingface's TRL library, allowing for faster training times. Supports self-optimization and mini-agent task execution.
Training Details 
Data Sources:
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, gretelai/synthetic_text_to_sql, HuggingFaceTB/cosmopedia, teknium/OpenHermes-2.5, 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
Methodology:
Training Prompt version - Working GREAT!
LLM NameSpyazWeb AI DeepMind Project
Repository 🤗https://huggingface.co/LeroyDyer/SpyazWeb_AI_DeepMind_Project 
Base Model(s)  LeroyDyer/Mixtral_AI_CyberTron_DeepMind_III   LeroyDyer/Mixtral_AI_CyberTron_DeepMind_III
Model Size7.2b
Required VRAM14.4 GB
Updated2024-11-21
MaintainerLeroyDyer
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16
SpyazWeb AI DeepMind Project (LeroyDyer/SpyazWeb_AI_DeepMind_Project)

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

Rank the SpyazWeb AI DeepMind Project Capabilities

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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 v20241110
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