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Gemma 3 270M 8bit by mlx-community

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Gemma 3 270M 8bit is an open-source language model by mlx-community. Features: 270m LLM, VRAM: 0.5GB, Context: 32K, License: gemma, Quantized, LLM Explorer Score: 0.21.

  8-bit   8bit   Base model:google/gemma-3-270m Base model:quantized:google/ge...   Conversational   Gemma3 text   Mlx   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/mlx-community/gemma-3-270m-8bit 

Gemma 3 270M 8bit Benchmarks

LLME Score: 0.21189
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 8bit (mlx-community/gemma-3-270m-8bit)
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Gemma 3 270M 8bit Parameters and Internals

LLM NameGemma 3 270M 8bit
Repository 🤗https://huggingface.co/mlx-community/gemma-3-270m-8bit 
Base Model(s)  Gemma 3 270M   google/gemma-3-270m
Model Size270m
Required VRAM0.5 GB
Updated2026-04-02
Maintainermlx-community
Model Typegemma3_text
Model Files  0.5 GB
Quantization Type8bit
Model ArchitectureGemma3ForCausalLM
Licensegemma
Context Length32768
Model Max Length32768
Transformers Version4.55.0.dev0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size262144
Torch Data Typebfloat16

Quantized Models of the Gemma 3 270M 8bit

Model
Likes
Downloads
VRAM
Raga Radar V2013630 GB

Best Alternatives to Gemma 3 270M 8bit

Best Alternatives
Context / RAM
Downloads
Likes
Raga Radar V232K / 0.9 GB13630
...gemma 270M It Unsloth Bnb 4bit32K / 0.4 GB50362
...mma 3 270M It Unsloth Bnb 4bit32K / 0.4 GB164185
Gemma 3 270M It Bnb 4bit32K / 0.4 GB100393
Gemma 3 270M It MLX 8bit32K / 0.5 GB73492
Gemma 3 270M It 8bit32K / 0.5 GB33332
Functiongemma 270M It 4bit32K / 0.2 GB2362
Gemma 3 270M It Qat32K / 0.5 GB20042
Gemma 3 270M Unsloth Bnb 4bit32K / 0.4 GB16272
Functiongemma 270M It 6bit32K / 0.2 GB282
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/gemma-3-270m-8bit.

Rank the Gemma 3 270M 8bit Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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