Zephyr 7B Beta Agent Instruct by kingabzpro

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  4bit   Adapter Base model:adapter:huggingface... Base model:huggingfaceh4/zephy...   Dataset:thudm/agentinstruct   En   Finetuned   Instruct   Lora   Peft   Pretrained   Qlora   Quantized   Region:us   Safetensors

Zephyr 7B Beta Agent Instruct Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Zephyr 7B Beta Agent Instruct (kingabzpro/zephyr-7b-beta-Agent-Instruct)

Zephyr 7B Beta Agent Instruct Parameters and Internals

Model Type 
text-generation
LLM NameZephyr 7B Beta Agent Instruct
Repository ๐Ÿค—https://huggingface.co/kingabzpro/zephyr-7b-beta-Agent-Instruct 
Base Model(s)  Zephyr 7B Beta   HuggingFaceH4/zephyr-7b-beta
Model Size7b
Required VRAM0.3 GB
Updated2024-12-22
Maintainerkingabzpro
Instruction-BasedYes
Model Files  0.3 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureAdapter
Licenseapache-2.0
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesup_proj|base_layer|down_proj
LoRA Alpha16
LoRA Dropout0.1
R Param64

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Note: green Score (e.g. "73.2") means that the model is better than kingabzpro/zephyr-7b-beta-Agent-Instruct.

Rank the Zephyr 7B Beta Agent Instruct 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