What are the hardware requirements for Gemma 2 9B It GGUF?

Gemma 2 9B It GGUF requires approximately 3.8 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 9B It GGUF and how large is it?

Gemma 2 9B It GGUF is developed by second-state, a model with 9b 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 9B It GGUF?

Gemma 2 9B 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 9B It GGUF by second-state — VRAM 3.8GB, 8K context

Name: Gemma 2 9B It GGUF
Rating: 2 (1 reviews)
Author: second-state

Gemma 2 9B It GGUF is an open-source language model by second-state. Features: 9b LLM, VRAM: 3.8GB, Context: 8K, License: gemma, Quantized, LLM Explorer Score: 0.14.

Base model:google/gemma-2-9b-i... Base model:quantized:google/ge... Conversational Gemma2 Gguf Q2 Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/second-state/gemma-2-9b-it-GGUF

Gemma 2 9B It GGUF Parameters and Internals

Model Type

conversational, text-generation

Input Output

Input Format:

gemma-instruct

Accepted Modalities:

text

LLM Name	Gemma 2 9B It GGUF
Repository 🤗	https://huggingface.co/second-state/gemma-2-9b-it-GGUF
Model Name	gemma-2-9b-it
Model Creator	Google
Base Model(s)	Gemma 2 9B It google/gemma-2-9b-it
Model Size	9b
Required VRAM	3.8 GB
Updated	2026-07-28
Maintainer	second-state
Model Type	gemma2
Model Files	3.8 GB 5.1 GB 4.8 GB 4.3 GB 5.4 GB 5.8 GB 5.5 GB 6.5 GB 6.7 GB 6.5 GB 7.6 GB 9.8 GB 18.5 GB
GGUF Quantization	Yes
Quantization Type	gguf\|q2\|q4_k\|q5_k
Model Architecture	Gemma2ForCausalLM
License	gemma
Context Length	8192
Model Max Length	8192
Transformers Version	4.42.0.dev0
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the Gemma 2 9B It GGUF capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Gemma 2 9B It GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Gemma Ko Merge	8K / 20.4 GB	8	1
...LLM X Gemma 2 9B CyberSecurity	8K / 18.6 GB	50	1
... Russian Function Calling GGUF	8K / 18.6 GB	1619	30
Gemma 2 9B Chinese Chat GGUF	8K / 3.8 GB	253	3
Gemma 2 9B It GGUF	8K / 3.8 GB	294	0
Gemma 2 9B Chinese Chat GGUF	8K / 3.8 GB	152	0
GWQ 9B Preview	8K / 18.6 GB	9	3
Gemma 2 9B 8bit	8K / 9.8 GB	178	9
Gemma 2 9B 4bit	8K / 5.2 GB	160	2
Gemma 2 9B It Bnb 4bit	8K / 6.1 GB	13007	32

Note: green Score (e.g. "73.2") means that the model is better than second-state/gemma-2-9b-it-GGUF.