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Gemma 3 270M MaxSlop 24e by DrRiceIO7

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Gemma 3 270M MaxSlop 24e is an open-source language model by DrRiceIO7. Features: 270m LLM, VRAM: 0.5GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.27.

Base model:finetune:unsloth/ge... Base model:unsloth/gemma-3-270...   Conversational   En   Endpoints compatible   Gemma3 text   Region:us   Safetensors   Unsloth
Model Card on HF 🤗: https://huggingface.co/DrRiceIO7/gemma-3-270m-MaxSlop-24e 

Gemma 3 270M MaxSlop 24e Benchmarks

LLME Score: 0.27265
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 3 270M MaxSlop 24e (DrRiceIO7/gemma-3-270m-MaxSlop-24e)
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Gemma 3 270M MaxSlop 24e Parameters and Internals

LLM NameGemma 3 270M MaxSlop 24e
Repository 🤗https://huggingface.co/DrRiceIO7/gemma-3-270m-MaxSlop-24e 
Model Nameunsloth/gemma-3-270m-it
Base Model(s)  Gemma 3 270M It   unsloth/gemma-3-270m-it
Model Size270m
Required VRAM0.5 GB
Updated2026-06-28
MaintainerDrRiceIO7
Model Typegemma3_text
Model Files  0.5 GB
Supported Languagesen
Model ArchitectureGemma3ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size262144
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than DrRiceIO7/gemma-3-270m-MaxSlop-24e.

Rank the Gemma 3 270M MaxSlop 24e 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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