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30B Epsilon by CalderaAI

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Model Card on HF 🤗: https://huggingface.co/CalderaAI/30B-Epsilon 

30B Epsilon Benchmarks

ARC: 63.05 vs 96.7 (so35)-34.8%
HellaSwag: 83.59 vs 95.3 (gpt4)-12.3%
MMLU: 56.89 vs 88.3 (so35)-35.6%
TruthfulQA: 59.03 vs 59 (gpt4)0.1%
WinoGrande: 77.66 vs 87.5 (gpt4)-11.2%
GSM8K: 24.56 vs 96.4 (so35)-74.5%
LLME Score: 0.12887
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
30B Epsilon (CalderaAI/30B-Epsilon)
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30B Epsilon Parameters and Internals

Model Type 
instruct, general purpose, uncensored
Use Cases 
Areas:
text generation, adventure roleplay, storytelling
Primary Use Cases:
text based adventure game, creative storytelling
Additional Notes 
Model assembled from handpicked models and LoRAs. Allows personalized instruction following through contextual memory input in specialized UIs.
Training Details 
Methodology:
Experimental use of LoRAs on language models and model merges.
Input Output 
Input Format:
Alpaca format
Accepted Modalities:
text
LLM Name30B Epsilon
Repository 🤗https://huggingface.co/CalderaAI/30B-Epsilon 
Model Size30b
Required VRAM65.2 GB
Updated2025-09-23
MaintainerCalderaAI
Model Typellama
Model Files  16.9 GB   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
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.28.1
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the 30B Epsilon

Model
Likes
Downloads
VRAM
30B Epsilon GGUF57913 GB
30B Epsilon AWQ31117 GB
30B Epsilon GPTQ5316 GB

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Note: green Score (e.g. "73.2") means that the model is better than CalderaAI/30B-Epsilon.

Rank the 30B Epsilon 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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