Minueza 32M Base by Felladrin

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Minueza 32M Base is an open-source language model by Felladrin. Features: 32m LLM, VRAM: 0.1GB, Context: 2K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.18, Arc: 21.3, HellaSwag: 26.4, MMLU: 24.8, GSM8K: 0.4.

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Minueza 32M Base Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Minueza 32M Base Parameters and Internals

LLM NameMinueza 32M Base
Repository 🤗https://huggingface.co/Felladrin/Minueza-32M-Base 
Model Size32m
Required VRAM0.1 GB
Updated2026-05-12
MaintainerFelladrin
Model Typemistral
Instruction-BasedYes
Model Files  0.1 GB
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.38.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typefloat32

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Rank the Minueza 32M Base 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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Release v20260328a