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Spydaz Web AI ChatQA ReAct Project UltraFineTuned by LeroyDyer

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  Af   Autotrain compatible Base model:finetune:leroydyer/... Base model:leroydyer/lcars ai ...   Bm   Ca   Conversational Dataset:abacusai/arc dpo fewsh... Dataset:abacusai/hellaswag dpo... Dataset:abacusai/metamath dpo ... Dataset:aixsatoshi/chat-with-c... Dataset:athirdpath/dpo pairs-r...   Dataset:beir/hotpotqa 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:helsinki-nlp/bible par...   Dataset:huggingfacefw/fineweb 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: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:skunkworksai/reasoning...   Dataset:swahili Dataset:takala/financial phras...   Dataset:teknium/openhermes-2.5   Dataset:thudm/longwriter-6k   Dataset:uonlp/culturax Dataset:virattt/financial-qa-1... Dataset:whiterabbitneo/code-fu... Dataset:whiterabbitneo/code-fu... Dataset:whiterabbitneo/wrn-cha...   Dataset:xz56/react-llama   Dataset:yahma/alpaca-cleaned Dataset:ybxl/medical book trai...   En   Endpoints compatible   Es   Ha   Hi   Ig   Instruct   Mistral   Region:us   Safetensors   Sharded   So   Su   Sw   Tensorflow   Tw   Xh   Zu
Model Card on HF 🤗: https://huggingface.co/LeroyDyer/_Spydaz_Web_AI_ChatQA_ReAct_Project_UltraFineTuned 

Spydaz Web AI ChatQA ReAct Project UltraFineTuned Benchmarks

LLME Score: 0.23627
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Spydaz Web AI ChatQA ReAct Project UltraFineTuned Parameters and Internals

Model Type 
AI Agent, ReAct Prompt Loop
Use Cases 
Areas:
Task completion, Complex problem solving
Additional Notes 
The SpydazWeb AI React Project is noted for its structured approach, allowing it to effectively execute various complex tasks using advanced techniques inspired by ReAct methodology.
Supported Languages 
en (English), sw (Swahili), ig (Igbo), so (Somali), es (Spanish), ca (Catalan), xh (Xhosa), zu (Zulu), ha (Hausa), tw (Twi), af (Afrikaans), hi (Hindi), bm (Bambara), su (Sundanese)
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, 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, xz56/react-llama, BeIR/hotpotqa, YBXL/medical_book_train_filtered, SkunkworksAI/reasoning-0.01, THUDM/LongWriter-6k, WhiteRabbitNeo/WRN-Chapter-1, WhiteRabbitNeo/Code-Functions-Level-Cyber, WhiteRabbitNeo/Code-Functions-Level-General
Methodology:
ReAct methodology with advanced prompting techniques and structured methods of thought and action
LLM Name Spydaz Web AI ChatQA ReAct Project UltraFineTuned
Repository 🤗https://huggingface.co/LeroyDyer/_Spydaz_Web_AI_ChatQA_ReAct_Project_UltraFineTuned 
Base Model(s)  ...pydazWeb AI CyberTron Ultra 7b   LCARS AI StarTrek Computer   ...Spydaz Web AI ActionQA Project   ...daz Web AI ChatML 512K Project   SpyazWeb AI DeepMind Project   SpydazWeb AI Swahili Project    Spydaz Web AI 08    Spydaz Web AI ChatQA 001    Spydaz Web AI ChatQA 001 SFT    Spydaz Web AI ChatQA 003    Spydaz Web AI ChatQA 004   ...A ReAct Project UltraFineTuned   LeroyDyer/SpydazWeb_AI_CyberTron_Ultra_7b   LeroyDyer/LCARS_AI_StarTrek_Computer   LeroyDyer/_Spydaz_Web_AI_ActionQA_Project   LeroyDyer/_Spydaz_Web_AI_ChatML_512K_Project   LeroyDyer/SpyazWeb_AI_DeepMind_Project   LeroyDyer/SpydazWeb_AI_Swahili_Project   LeroyDyer/_Spydaz_Web_AI_08   LeroyDyer/_Spydaz_Web_AI_ChatQA_001   LeroyDyer/_Spydaz_Web_AI_ChatQA_001_SFT   LeroyDyer/_Spydaz_Web_AI_ChatQA_003   LeroyDyer/_Spydaz_Web_AI_ChatQA_004   LeroyDyer/_Spydaz_Web_AI_ChatQA_ReAct_Project_UltraFineTuned
Model Size7.2b
Required VRAM14.4 GB
Updated2024-11-01
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 sw ig so es ca xh zu ha tw af hi bm su
Model ArchitectureMistralForCausalLM
Context Length524288
Model Max Length524288
Transformers Version4.44.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16
Spydaz Web AI ChatQA ReAct Project UltraFineTuned (LeroyDyer/_Spydaz_Web_AI_ChatQA_ReAct_Project_UltraFineTuned)

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

Rank the Spydaz Web AI ChatQA ReAct Project UltraFineTuned 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  
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Release v20241124
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