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Gemma 2B It GGUF by leliuga

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Gemma 2B It GGUF is an open-source language model by leliuga. Features: 2b LLM, VRAM: 1.2GB, Context: 8K, License: other, Quantized, LLM Explorer Score: 0.12.

  Base model:google/gemma-2b-it Base model:quantized:google/ge...   Conversational   Gemma   Gguf   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/leliuga/gemma-2b-it-GGUF 

Gemma 2B It GGUF Benchmarks

LLME Score: 0.12329
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 2B It GGUF (leliuga/gemma-2b-it-GGUF)
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Gemma 2B It GGUF Parameters and Internals

Model Type 
text-generation
Additional Notes 
Inference is set to false. Quantized by Leliuga.
LLM NameGemma 2B It GGUF
Repository 🤗https://huggingface.co/leliuga/gemma-2b-it-GGUF 
Model Namegemma-2b-it
Model CreatorGoogle
Base Model(s)  Gemma 2B It   google/gemma-2b-it
Model Size2b
Required VRAM1.2 GB
Updated2026-05-19
Maintainerleliuga
Model Typegemma
Model Files  1.2 GB   1.5 GB   1.4 GB   1.3 GB   1.6 GB   1.6 GB   1.6 GB   1.8 GB   1.8 GB   1.8 GB   2.1 GB   2.7 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureGemmaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Vocabulary Size256000
Torch Data Typebfloat16

Best Alternatives to Gemma 2B It GGUF

Best Alternatives
Context / RAM
Downloads
Likes
Gemma 2B It8K / 5.1 GB81913877
Gemma 2B8K / 5.1 GB1878141168
Gemma 2B It8K / 1.5 GB170
Gemma 2B It8K / 5.1 GB261
Gemma 2B T8K / 5.1 GB150
Gemma 2B It Q4 K M GGUF8K / 1.6 GB57495
Gemma 2B It Code8K / 5.1 GB310
Gemma 2B It Q8K / 1.6 GB211
Gemma Help Tiny Sft8K / 5.1 GB371
GemSUra Edu8K / 5 GB440
Note: green Score (e.g. "73.2") means that the model is better than leliuga/gemma-2b-it-GGUF.

Rank the Gemma 2B It GGUF 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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