Gemma 4 E4B Mlx 4bit by deadbydawn101

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Gemma 4 E4B Mlx 4bit is an open-source language model by deadbydawn101. Features: 1.7b LLM, VRAM: 5.2GB, License: gemma, Quantized, LLM Explorer Score: 0.33.

  4-bit   4bit   Any-to-any   Apple-silicon Base model:google/gemma-4-e4b-... Base model:quantized:google/ge...   Chain-of-thought   Claude-code   Conversational Dataset:crownelius/opus-4.6-re...   En   Function-calling   Gemma4   Image-text-to-text   Kv-cache-compression   Long-context   Mlx   Multimodal   Opus   Quantized   Ravenx   Reasoning   Region:us   Safetensors   Sft   Tool-calling   Turboquant   Vision

Gemma 4 E4B Mlx 4bit Benchmarks

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

Gemma 4 E4B Mlx 4bit Parameters and Internals

LLM NameGemma 4 E4B Mlx 4bit
Repository 🤗https://huggingface.co/deadbydawn101/gemma-4-E4B-mlx-4bit 
Base Model(s)  google/gemma-4-E4B-it   google/gemma-4-E4B-it
Model Size1.7b
Required VRAM5.2 GB
Updated2026-04-12
Maintainerdeadbydawn101
Model Typegemma4
Model Files  5.2 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureGemma4ForConditionalGeneration
Licensegemma
Transformers Version5.5.0.dev0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>

Quantized Models of the Gemma 4 E4B Mlx 4bit

Model
Likes
Downloads
VRAM
...s Reasoning GeminiCLI Mlx 4bit11762411 GB

Best Alternatives to Gemma 4 E4B Mlx 4bit

Best Alternatives
Context / RAM
Downloads
Likes
Gemma 4 E4b It 4bit0K / 5.2 GB3783612
Note: green Score (e.g. "73.2") means that the model is better than deadbydawn101/gemma-4-E4B-mlx-4bit.

Rank the Gemma 4 E4B Mlx 4bit 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