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Enterredaas 33B by Aeala

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Enterredaas 33B is an open-source language model by Aeala. Features: 33b LLM, VRAM: 65.2GB, Context: 2K, HF Score: 57.9, LLM Explorer Score: 0.12, Arc: 60.9, HellaSwag: 84.2, MMLU: 58.3, TruthfulQA: 49, WinoGrande: 78.8, GSM8K: 16.2.

  Endpoints compatible   Llama   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Aeala/Enterredaas-33b 

Enterredaas 33B 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: 0.11516
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Enterredaas 33B (Aeala/Enterredaas-33b)
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Enterredaas 33B Parameters and Internals

LLM NameEnterredaas 33B
Repository 🤗https://huggingface.co/Aeala/Enterredaas-33b 
Model Size33b
Required VRAM65.2 GB
Updated2026-03-15
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   5.7 GB: 7-of-7   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 Version4.30.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the Enterredaas 33B

Model
Likes
Downloads
VRAM
Enterredaas 33B 4bit4616 GB

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ValidateAI 3 33B Ties16K / 66.5 GB80
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...dy Deepseekcoder 33B V16.1 32K16K / 67.1 GB7680
Note: green Score (e.g. "73.2") means that the model is better than Aeala/Enterredaas-33b.

Rank the Enterredaas 33B 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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