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Zephyr Rag Agent by erbacher

 »  All LLMs  »  erbacher  »  Zephyr Rag Agent   URL Share it on

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  Adapter   Alignment-handbook Base model:adapter:huggingface... Base model:huggingfaceh4/zephy...   Dataset:erbacher/rag-and-roll   Finetuned   Generated from trainer   Lora   Mistral   Peft   Region:us   Safetensors   Sft   Trl
Model Card on HF 🤗: https://huggingface.co/erbacher/zephyr-rag-agent 

Zephyr Rag Agent Benchmarks

LLME Score: 0.17961
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 (erbacher/zephyr-rag-agent)

Zephyr Rag Agent Parameters and Internals

Training Details 
Data Sources:
erbacher/rag-and-roll
LLM NameZephyr Rag Agent
Repository 🤗https://huggingface.co/erbacher/zephyr-rag-agent 
Base Model(s)  Zephyr 7B Beta   HuggingFaceH4/zephyr-7b-beta
Model Size7b
Required VRAM0.2 GB
Updated2025-04-03
Maintainererbacher
Model Files  0.2 GB   0.0 GB
Model ArchitectureAdapter
Licensemit
Model Max Length2048
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token</s>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|k_proj|gate_proj|up_proj|down_proj|v_proj|o_proj
LoRA Alpha32
LoRA Dropout0.05
R Param32

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Note: green Score (e.g. "73.2") means that the model is better than erbacher/zephyr-rag-agent.

Rank the Zephyr Rag Agent 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 v20241227
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