Spydaz Web AI ChatQA ReAct Project by LeroyDyer

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  Dataset:arcee-ai/agent-data   Dataset:beir/hotpotqa   Dataset:xz56/react-llama   En   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Spydaz Web AI ChatQA ReAct Project 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 ChatQA ReAct Project Parameters and Internals

LLM Name Spydaz Web AI ChatQA ReAct Project
Repository ๐Ÿค—https://huggingface.co/LeroyDyer/_Spydaz_Web_AI_ChatQA_ReAct_Project 
Model Size7.2b
Required VRAM14.4 GB
Updated2024-10-17
MaintainerLeroyDyer
Model Typemistral
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 Version4.44.0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16
 Spydaz Web AI ChatQA ReAct Project (LeroyDyer/_Spydaz_Web_AI_ChatQA_ReAct_Project)

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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.

Rank the Spydaz Web AI ChatQA ReAct 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 v2024072803