VicUnlocked Alpaca 30B 4bit by Aeala

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VicUnlocked Alpaca 30B 4bit is an open-source language model by Aeala. Features: 30b LLM, VRAM: 16.9GB, Context: 2K, Quantized, HF Score: 57.9, LLM Explorer Score: 0.09, Arc: 61.9, HellaSwag: 83.8, MMLU: 57.6, TruthfulQA: 51, WinoGrande: 78.2, GSM8K: 14.6.

  4bit   Endpoints compatible   Llama   Pytorch   Quantized   Region:us

VicUnlocked Alpaca 30B 4bit Benchmarks

VicUnlocked Alpaca 30B 4bit Parameters and Internals

Model Type 
Text Generation
Additional Notes 
Use Alpaca-style prompts for optimal results.
Training Details 
Data Sources:
ShareGPT dataset, Alpaca format
Data Volume:
Unknown
Methodology:
4-bit GPTQ quantization
Model Architecture:
Alpaca format based on Vicuna model
Input Output 
Input Format:
### Instruction: (without the <>) ### Response:
Accepted Modalities:
text
Output Format:
text
LLM NameVicUnlocked Alpaca 30B 4bit
Repository 🤗https://huggingface.co/Aeala/VicUnlocked-alpaca-30b-4bit 
Base Model(s)  VicUnlocked Alpaca 30B   Aeala/VicUnlocked-alpaca-30b
Model Size30b
Required VRAM16.9 GB
Updated2026-03-31
MaintainerAeala
Model Typellama
Model Files  18.1 GB   16.9 GB
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.29.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Aeala/VicUnlocked-alpaca-30b-4bit.

Rank the VicUnlocked Alpaca 30B 4bit 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