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VicUnlocked Alpaca 30B by Aeala

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VicUnlocked Alpaca 30B is an open-source language model by Aeala. Features: 30b LLM, VRAM: 65.4GB, Context: 2K, HF Score: 57.9, LLM Explorer Score: 0.1, Arc: 61.9, HellaSwag: 83.8, MMLU: 57.6, TruthfulQA: 51, WinoGrande: 78.2, GSM8K: 14.6.

  Endpoints compatible   Llama   Pytorch   Region:us   Safetensors   Sharded
Model Card on HF 🤗: https://huggingface.co/Aeala/VicUnlocked-alpaca-30b 

VicUnlocked Alpaca 30B Benchmarks

ARC: 61.86 vs 96.7 (so35)-36%
HellaSwag: 83.79 vs 95.3 (gpt4)-12.1%
MMLU: 57.64 vs 88.3 (so35)-34.7%
TruthfulQA: 51.03 vs 59 (gpt4)-13.5%
WinoGrande: 78.22 vs 87.5 (gpt4)-10.6%
GSM8K: 14.63 vs 96.4 (so35)-84.8%
LLME Score: 0.10282
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
VicUnlocked Alpaca 30B (Aeala/VicUnlocked-alpaca-30b)
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VicUnlocked Alpaca 30B Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research
Additional Notes 
Model is designed for use with Alpaca instruction format.
Training Details 
Data Sources:
cleaned ShareGPT dataset
Methodology:
Trained in Alpaca format
Model Architecture:
LoRA
Input Output 
Input Format:
### Instruction: ### Response:
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Use the Alpaca format for best results.
LLM NameVicUnlocked Alpaca 30B
Repository 🤗https://huggingface.co/Aeala/VicUnlocked-alpaca-30b 
Model Size30b
Required VRAM65.4 GB
Updated2026-05-03
MaintainerAeala
Model Typellama
Model Files  9.8 GB: 1-of-7   10.0 GB: 2-of-7   9.9 GB: 3-of-7   9.9 GB: 4-of-7   9.9 GB: 5-of-7   10.0 GB: 6-of-7   5.9 GB: 7-of-7
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

Quantized Models of the VicUnlocked Alpaca 30B

Model
Likes
Downloads
VRAM
VicUnlocked Alpaca 30B 4bit5716 GB

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

Rank the VicUnlocked Alpaca 30B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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