What are the hardware requirements for Gemma 7B It GGUF?

Gemma 7B It GGUF requires approximately 3.1 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 7B It GGUF and how large is it?

Gemma 7B It GGUF is developed by second-state, a model with 7b 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 7B It GGUF?

Gemma 7B It GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 7B It GGUF by second-state — VRAM 3.1GB, 8K context

Name: Gemma 7B It GGUF
Author: second-state

Gemma 7B It GGUF is an open-source language model by second-state. Features: 7b LLM, VRAM: 3.1GB, Context: 8K, License: other, Quantized, LLM Explorer Score: 0.13.

Base model:google/gemma-7b-it Base model:quantized:google/ge... Conversational Gemma Gguf Q2 Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/second-state/Gemma-7b-it-GGUF

Gemma 7B It GGUF Benchmarks

LLME Score: 0.12649

^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 7B It GGUF (second-state/Gemma-7b-it-GGUF)

🌟 Advertise your project 🚀

Gemma 7B It GGUF Parameters and Internals

LLM Name	Gemma 7B It GGUF
Repository 🤗	https://huggingface.co/second-state/Gemma-7b-it-GGUF
Model Name	gemma 7b it
Model Creator	Google
Base Model(s)	Gemma 7B It google/gemma-7b-it
Model Size	7b
Required VRAM	3.1 GB
Updated	2026-04-19
Maintainer	second-state
Model Type	gemma
Model Files	3.1 GB 4.4 GB 4.1 GB 3.7 GB 4.8 GB 5.1 GB 4.8 GB 5.9 GB 6.0 GB 5.9 GB 7.0 GB 9.1 GB
GGUF Quantization	Yes
Quantization Type	gguf\|q2\|q4_k\|q5_k
Model Architecture	GemmaForCausalLM
License	other
Context Length	8192
Model Max Length	8192
Transformers Version	4.38.0.dev0
Vocabulary Size	256000
Torch Data Type	bfloat16

Best Alternatives to Gemma 7B It GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 7B It	8K / 17.1 GB	38213	1243
Gemma 7B	8K / 17.1 GB	29936	3296
Gemma 1.1 7B It GGUF	8K / 5.3 GB	128	1
Train06	8K / 9.1 GB	21	0
Llama2 Kazakh 7B GGUF	8K / 4.1 GB	10	0
Gemma 7B	8K / 17.1 GB	36	0
Gemma 7B Translator 0.4	8K / 17.1 GB	43	0
Gemma 7B Translator 0.3	8K / 17.1 GB	28	0
Gemma7B Konosuba	8K / 17.1 GB	20	1
Gemma 7B It GGUF	8K / 5.3 GB	48	1

Note: green Score (e.g. "73.2") means that the model is better than second-state/Gemma-7b-it-GGUF.

Rank the Gemma 7B 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

What open-source LLMs or SLMs are you in search of? 53254 in total.

Email us: info@extractum.io. Our Privacy Policy | Terms and Conditions | Suggest an improvement.

Our Social Media →

Original data from HuggingFace, OpenCompass and various public git repos.

Check out Ag3ntum — our secure, self-hosted AI agent for server management.

Release v20260328a

Support LLM Explorer

Gemma 7B It GGUF by second-state

» All LLMs » second-state » Gemma 7B It GGUF URL Share it on

Gemma 7B It GGUF Benchmarks

Gemma 7B It GGUF Parameters and Internals

Best Alternatives to Gemma 7B It GGUF

Rank the Gemma 7B It GGUF Capabilities

What open-source LLMs or SLMs are you in search of? 53254 in total.