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

Gemma 2 9B It Russian Function Calling GGUF 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 Russian Function Calling GGUF and how large is it?

Gemma 2 9B It Russian Function Calling GGUF is developed by DiTy, 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 Russian Function Calling GGUF?

Gemma 2 9B It Russian Function Calling 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 Russian Function Calling GGUF by DiTy — VRAM 18.6GB, 8K context

Name: Gemma 2 9B It Russian Function Calling GGUF
Author: DiTy

Gemma 2 9B It Russian Function Calling GGUF is an open-source language model by DiTy. Features: 9b LLM, VRAM: 18.6GB, Context: 8K, License: apache-2.0, Quantized, LLM Explorer Score: 0.16.

Base model:google/gemma-2-9b-i... Base model:quantized:google/ge... Conversational Dataset:dity/function-calling Deploy:azure Endpoints compatible Function-calling Gemma2 Gguf Quantized Region:us Ru Safetensors Sharded Tensorflow Trl

Model Card on HF 🤗: https://huggingface.co/DiTy/gemma-2-9b-it-russian-function-calling-GGUF

Gemma 2 9B It Russian Function Calling GGUF Parameters and Internals

LLM Name	Gemma 2 9B It Russian Function Calling GGUF
Repository 🤗	https://huggingface.co/DiTy/gemma-2-9b-it-russian-function-calling-GGUF
Base Model(s)	Gemma 2 9B It google/gemma-2-9b-it
Model Size	9b
Required VRAM	18.6 GB
Updated	2026-09-06
Maintainer	DiTy
Model Type	gemma2
Model Files	18.5 GB 4.9 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 3.7 GB: 4-of-4
Supported Languages	ru
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	Gemma2ForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.42.2
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the Gemma 2 9B It Russian Function Calling GGUF capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
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Code Generation
Multi-Language Support and Translation

Best Alternatives to Gemma 2 9B It Russian Function Calling GGUF

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Gemma Ko Merge	8K / 20.4 GB	8	1
...LLM X Gemma 2 9B CyberSecurity	8K / 18.6 GB	50	1
Gemma 2 9B It GGUF	8K / 3.8 GB	528	4
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 DiTy/gemma-2-9b-it-russian-function-calling-GGUF.