Zephyr 7B Beta Agent Instruct V3 by Trubnik1967

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Zephyr 7B Beta Agent Instruct V3 is an open-source language model by Trubnik1967. Features: 7b LLM, VRAM: 0.7GB, Instruction-Based, LLM Explorer Score: 0.13.

  Arxiv:1910.09700   4-bit   Bitsandbytes   Conversational   Endpoints compatible   Instruct   Lora   Mistral   Region:us   Safetensors

Zephyr 7B Beta Agent Instruct V3 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 V3 Parameters and Internals

LLM NameZephyr 7B Beta Agent Instruct V3
Repository 🤗https://huggingface.co/Trubnik1967/zephyr-7b-beta-Agent-Instruct_v3 
Model Size7b
Required VRAM0.7 GB
Updated2026-04-20
MaintainerTrubnik1967
Instruction-BasedYes
Model Files  0.7 GB
Model ArchitectureAutoModelForCausalLM
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token</s>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Moduleso_proj|down_proj|v_proj|gate_proj|up_proj|k_proj|q_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 Trubnik1967/zephyr-7b-beta-Agent-Instruct_v3.

Rank the Zephyr 7B Beta Agent Instruct V3 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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Release v20260328a