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Alpaca 30B Int4 128G Safetensors by MetaIX

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Alpaca 30B Int4 128G Safetensors is an open-source language model by MetaIX. Features: 30b LLM, VRAM: 18.1GB, LLM Explorer Score: 0.07.

  Endpoints compatible   Llama   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/MetaIX/Alpaca-30B-Int4-128G-Safetensors 

Alpaca 30B Int4 128G Safetensors Benchmarks

LLME Score: 0.06688
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Alpaca 30B Int4 128G Safetensors (MetaIX/Alpaca-30B-Int4-128G-Safetensors)
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Alpaca 30B Int4 128G Safetensors Parameters and Internals

Additional Notes 
Alpaca 30B 4-bit is quantized using --true-sequential and --groupsize 128 optimizations, enhancing performance but increasing VRAM usage.
Training Details 
Data Sources:
clean alpaca dataset as of 04/06/2023
Context Length:
512
Release Notes 
Version:
04.06.2023
Date:
2023-06-04
Notes:
This release uses an updated version of Chansung's Alpaca Lora with the clean alpaca dataset and refined training parameters.
LLM NameAlpaca 30B Int4 128G Safetensors
Repository 🤗https://huggingface.co/MetaIX/Alpaca-30B-Int4-128G-Safetensors 
Model Size30b
Required VRAM18.1 GB
Updated2026-01-30
MaintainerMetaIX
Model Typellama
Model Files  18.1 GB
Model ArchitectureLlamaForCausalLM
Transformers Version4.28.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than MetaIX/Alpaca-30B-Int4-128G-Safetensors.

Rank the Alpaca 30B Int4 128G Safetensors 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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