What are the hardware requirements for Gemma 2 It GGUF?

Gemma 2 It GGUF requires approximately 1.2 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 2 It GGUF and how large is it?

Gemma 2 It GGUF is developed by unsloth, a model with 2b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Gemma 2 It GGUF?

Gemma 2 It GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 2 It GGUF by unsloth — VRAM 1.2GB, 8K context

Name: Gemma 2 It GGUF
Author: unsloth

Gemma 2 It GGUF is an open-source language model by unsloth. Features: 2b LLM, VRAM: 1.2GB, Context: 8K, License: gemma, Quantized, LLM Explorer Score: 0.17.

Autotrain compatible Conversational En Endpoints compatible Gemma Gemma2 Gguf Quantized Region:us Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/gemma-2-it-GGUF

Gemma 2 It GGUF Benchmarks

LLME Score: 0.16536

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

What is the LLM Explorer Rank (Score)

Gemma 2 It GGUF (unsloth/gemma-2-it-GGUF)

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Gemma 2 It GGUF Parameters and Internals

LLM Name	Gemma 2 It GGUF
Repository 🤗	https://huggingface.co/unsloth/gemma-2-it-GGUF
Model Size	2b
Required VRAM	1.2 GB
Updated	2025-09-30
Maintainer	unsloth
Model Type	gemma2
Model Files	5.2 GB 1.2 GB 1.5 GB 1.7 GB 1.9 GB 2.1 GB 2.8 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	Gemma2ForCausalLM
License	gemma
Context Length	8192
Model Max Length	8192
Transformers Version	4.43.3
Vocabulary Size	256000
Torch Data Type	bfloat16

Best Alternatives to Gemma 2 It GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 2 2B Fa	8K / 5.2 GB	584	4
Gemma 2 2B Fa V2	8K / 5.3 GB	27	4
Gemma 2 2B It Bnb 4bit	8K / 2.2 GB	41858	20
Gemma 2 2B Id Inst	8K / 5.2 GB	145	0
Gemma 2 2B Id Instruct	8K / 5.2 GB	75	0
Gemma 2 2B Id	8K / 5.2 GB	57	0
Athena Gemma 2 2B It Philos	8K / 5.2 GB	20	0
Arnab Ft Gemma2 From Vm St V1	8K / 5.2 GB	6	0
GRMR 2B Instruct	8K / 5.2 GB	1887	18
Gemma 2 2B It 4bit	8K / 1.5 GB	6478	3

Note: green Score (e.g. "73.2") means that the model is better than unsloth/gemma-2-it-GGUF.

Rank the Gemma 2 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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Gemma 2 It GGUF by unsloth

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Gemma 2 It GGUF Benchmarks

Gemma 2 It GGUF Parameters and Internals

Best Alternatives to Gemma 2 It GGUF

Rank the Gemma 2 It GGUF Capabilities

What open-source LLMs or SLMs are you in search of? 53232 in total.