Zephyr Rag Agent Webgpt by erbacher

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  Arxiv:1910.09700   Autotrain compatible   Endpoints compatible   Lora   Region:us   Safetensors   Sharded   Stablelm   Tensorflow

Zephyr Rag Agent Webgpt Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Zephyr Rag Agent Webgpt (erbacher/zephyr-rag-agent-webgpt)

Zephyr Rag Agent Webgpt Parameters and Internals

LLM NameZephyr Rag Agent Webgpt
Repository ๐Ÿค—https://huggingface.co/erbacher/zephyr-rag-agent-webgpt 
Model Size2.8b
Required VRAM40.1 GB
Updated2024-12-22
Maintainererbacher
Model Files  0.2 GB   5.0 GB: 1-of-3   5.0 GB: 1-of-6   5.0 GB: 2-of-3   4.9 GB: 2-of-6   1.2 GB: 3-of-3   5.0 GB: 3-of-6   5.0 GB: 4-of-6   4.8 GB: 5-of-6   4.2 GB: 6-of-6
Model ArchitectureAutoModelForCausalLM
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Moduleso_proj|up_proj|down_proj|gate_proj|v_proj|k_proj|q_proj
LoRA Alpha16
LoRA Dropout0.05
R Param16

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Rank the Zephyr Rag Agent Webgpt 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 v20241217