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MedusaGemma E4B by stamsam

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MedusaGemma E4B is an open-source language model by stamsam. Features: 7.5b LLM, VRAM: 15.1GB, License: apache-2.0, LLM Explorer Score: 0.25.

  Arithmetic Base model:finetune:google/gem... Base model:google/gemma-4-e4b-...   Code-assistance   Conversational   En   Gemma   Gemma4   Local-inference   Medusa   Pocket-polymath   Refusal   Region:us   Repair   Safetensors   Sharded   Structured-reasoning   Tensorflow   Validators
Model Card on HF 🤗: https://huggingface.co/stamsam/MedusaGemma-E4B 

MedusaGemma E4B Benchmarks

LLME Score: 0.24554
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MedusaGemma E4B (stamsam/MedusaGemma-E4B)
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MedusaGemma E4B Parameters and Internals

LLM NameMedusaGemma E4B
Repository 🤗https://huggingface.co/stamsam/MedusaGemma-E4B 
Base Model(s)  Gemma 4 E4B It   google/gemma-4-E4B-it
Model Size7.5b
Required VRAM15.1 GB
Updated2026-06-07
Maintainerstamsam
Model Typegemma4
Model Files  5.4 GB: 1-of-4   4.0 GB: 2-of-4   5.6 GB: 3-of-4   0.1 GB: 4-of-4
Supported Languagesen
Model ArchitectureGemma4ForConditionalGeneration
Licenseapache-2.0
Transformers Version5.5.4
Tokenizer ClassGemmaTokenizer
Padding Token<pad>

Best Alternatives to MedusaGemma E4B

Best Alternatives
Context / RAM
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...litan Translator V0 Gemma4 E4b0K / 6.5 GB1532
... 4 E4B It OBLITERATED Mlx 8Bit0K / 8 GB65632
Note: green Score (e.g. "73.2") means that the model is better than stamsam/MedusaGemma-E4B.

Rank the MedusaGemma E4B 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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