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GPT4 X AlpacaDente 30B 4bit by Aeala

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  4bit   Autotrain compatible   Endpoints compatible   Llama   Pytorch   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/Aeala/GPT4-x-AlpacaDente-30b-4bit 

GPT4 X AlpacaDente 30B 4bit Benchmarks

ARC: 60.58 vs 96.7 (so35)-37.4%
HellaSwag: 81.81 vs 95.3 (gpt4)-14.2%
MMLU: 56.63 vs 88.3 (so35)-35.9%
TruthfulQA: 48.38 vs 59 (gpt4)-18%
WinoGrande: 78.14 vs 87.5 (gpt4)-10.7%
GSM8K: 26.76 vs 96.4 (so35)-72.2%
LLME Score: 0.10516
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GPT4 X AlpacaDente 30B 4bit (Aeala/GPT4-x-AlpacaDente-30b-4bit)
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GPT4 X AlpacaDente 30B 4bit Parameters and Internals

Model Type 
text generation
Additional Notes 
Model is quantized to 4-bit act-order with 128-group size.
LLM NameGPT4 X AlpacaDente 30B 4bit
Repository 🤗https://huggingface.co/Aeala/GPT4-x-AlpacaDente-30b-4bit 
Base Model(s)  GPT4 X AlpacaDente 30B   Aeala/GPT4-x-AlpacaDente-30b
Model Size30b
Required VRAM16.9 GB
Updated2025-08-18
MaintainerAeala
Model Typellama
Model Files  18.1 GB   16.9 GB
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.29.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32016
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Aeala/GPT4-x-AlpacaDente-30b-4bit.

Rank the GPT4 X AlpacaDente 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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