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Eros Prodigadigm 7B by jeiku

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Eros Prodigadigm 7B is an open-source language model by jeiku. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: other, Merged, LLM Explorer Score: 0.13, Arc: 67.2, HellaSwag: 85.6, MMLU: 63, GSM8K: 53.3.

  Merged Model   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/jeiku/Eros_Prodigadigm_7B 

Eros Prodigadigm 7B Benchmarks

ARC: 67.24 vs 96.7 (so35)-30.5%
HellaSwag: 85.63 vs 95.3 (gpt4)-10.1%
MMLU: 63.04 vs 88.3 (so35)-28.6%
GSM8K: 53.3 vs 96.4 (so35)-44.7%
LLME Score: 0.1312
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Eros Prodigadigm 7B (jeiku/Eros_Prodigadigm_7B)
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Eros Prodigadigm 7B Parameters and Internals

Model Type 
pre-trained, language model
Training Details 
Methodology:
SLERP merge method
LLM NameEros Prodigadigm 7B
Repository 🤗https://huggingface.co/jeiku/Eros_Prodigadigm_7B 
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2026-06-04
Maintainerjeiku
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than jeiku/Eros_Prodigadigm_7B.

Rank the Eros Prodigadigm 7B 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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