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Enterredaas 33B 4bit by Aeala

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Enterredaas 33B 4bit is an open-source language model by Aeala. Features: 33b LLM, VRAM: 16.9GB, Context: 2K, Quantized, HF Score: 57.9, LLM Explorer Score: 0.1, Arc: 60.9, HellaSwag: 84.2, MMLU: 58.3, TruthfulQA: 49, WinoGrande: 78.8, GSM8K: 16.2.

  4bit   Endpoints compatible   Llama   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/Aeala/Enterredaas-33b-4bit 

Enterredaas 33B 4bit Benchmarks

ARC: 60.92 vs 96.7 (so35)-37%
HellaSwag: 84.18 vs 95.3 (gpt4)-11.7%
MMLU: 58.3 vs 88.3 (so35)-34%
TruthfulQA: 49.02 vs 59 (gpt4)-16.9%
WinoGrande: 78.77 vs 87.5 (gpt4)-10%
GSM8K: 16.22 vs 96.4 (so35)-83.2%
LLME Score: 0.10445
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Enterredaas 33B 4bit (Aeala/Enterredaas-33b-4bit)
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Enterredaas 33B 4bit Parameters and Internals

Model Type 
text generation
Additional Notes 
This model uses 4-bit GPTQ quantization.
Training Details 
Data Sources:
Alpaca format
Methodology:
4-bit GPTQ quantization
Input Output 
Input Format:
### Instruction: <instruction> ### Input: <input>
Accepted Modalities:
text
Output Format:
### Response: <response>
LLM NameEnterredaas 33B 4bit
Repository 🤗https://huggingface.co/Aeala/Enterredaas-33b-4bit 
Base Model(s)  Enterredaas 33B   Aeala/Enterredaas-33b
Model Size33b
Required VRAM16.9 GB
Updated2026-02-25
MaintainerAeala
Model Typellama
Model Files  18.1 GB   16.9 GB
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.30.0.dev0
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/Enterredaas-33b-4bit.

Rank the Enterredaas 33B 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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