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

Gemma 2 9B It requires approximately 18.6 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 and how large is it?

Gemma 2 9B It is developed by google, 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?

Gemma 2 9B It 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 by google — VRAM 18.6GB, 8K context

Name: Gemma 2 9B It
Author: google

Gemma 2 9B It is an open-source language model by google. Features: 9b LLM, VRAM: 18.6GB, Context: 8K, License: gemma, LLM Explorer Score: 0.35.

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

Gemma 2 9B It Benchmarks

IFEval: 74.36 vs 88 (so35)^-15.5%

MATH Lvl 5: 19.49

LLME Score: 0.35416

^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)

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Gemma 2 9B It Parameters and Internals

Model Type

text generation

Use Cases

Areas:

Research, Commercial applications

Applications:

Content Creation, Communication, Chatbots, Conversational AI, Text Summarization, NLP Research, Language Learning Tools, Knowledge Exploration

Primary Use Cases:

Text Generation

Limitations:

Bias in training data, Context and task complexity, Language ambiguity and nuance, Factual inaccuracy, Lack of common sense

Considerations:

Aware of potential biases and misuse.

Supported Languages

English (high proficiency)

Training Details

Data Sources:

Web Documents, Code, Mathematics

Data Volume:

8 trillion tokens for the 9B model

Hardware Used:

Tensor Processing Unit (TPU)

Model Architecture:

text-to-text, decoder-only large language model

Safety Evaluation

Methodologies:

structured evaluations, internal red-teaming testing

Risk Categories:

Text-to-Text Content Safety, Representational Harms, Memorization, Large-scale harm

Ethical Considerations:

Met acceptable thresholds for safety.

Responsible Ai Considerations

Fairness:

Efforts to address biases through curriculum and evaluation.

Transparency:

Model card provides details on architecture, capabilities, limitations, and evaluation processes.

Accountability:

Google

Mitigation Strategies:

Continuous monitoring, de-biasing techniques, guidelines for responsible use.

Input Output

Input Format:

Text string

Accepted Modalities:

text

Output Format:

Generated English-language text

Performance Tips:

Use appropriate prompts for improved context.

LLM Name	Gemma 2 9B It
Repository 🤗	https://huggingface.co/google/gemma-2-9b-it
Base Model(s)	Gemma 2 9B google/gemma-2-9b
Model Size	9b
Required VRAM	18.6 GB
Updated	2026-04-25
Maintainer	google
Model Type	gemma2
Model Files	4.9 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 3.7 GB: 4-of-4
Model Architecture	Gemma2ForCausalLM
License	gemma
Context Length	8192
Model Max Length	8192
Transformers Version	4.42.0.dev0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Quantized Models of the Gemma 2 9B It

Model	Likes	Downloads	VRAM
Gemma 2 9B It Bnb 4bit	31	18097	6 GB
Gemma 2 9B It AWQ INT4	8	1307	6 GB
... Russian Function Calling GGUF	30	1247	18 GB
Gemma 2 9B It GGUF	4	285	3 GB
Gemma 2 9B It GGUF	0	160	3 GB
Gemma 2 9B Instruct 4Bit GPTQ	3	12	6 GB
Gemma 2 9B It Bnb 4bit	0	10	6 GB

Best Alternatives to Gemma 2 9B It

Best Alternatives	Context / RAM	Downloads	Likes
G2 GSHT 32K	32K / 20.4 GB	4	1
SystemGemma2 9B It	32K / 18.6 GB	6	2
GWQ 9B Preview2	8K / 18.6 GB	13	10
Gemma 2 9B It	8K / 18.6 GB	12	0
Gemma 2 9B It SimPO	8K / 18.6 GB	511	172
Turkish Gemma 9B T1	8K / 18.6 GB	49652	175
Gemma 2 9B	8K / 37.1 GB	68850	699
Gemma 2 9B It Advanced V2.1	8K / 20.4 GB	6	29
Gemma Evo 10B	8K / 20.4 GB	284	5
...erge 02012025163610 Gemma 2 9B	8K / 20.4 GB	14	0

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

Rank the Gemma 2 9B It 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 9B It by google