What are the hardware requirements for Fanar 1 9B Instruct?

Fanar 1 9B Instruct requires approximately 17.7 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Fanar 1 9B Instruct and how large is it?

Fanar 1 9B Instruct is developed by QCRI, 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 Fanar 1 9B Instruct?

Fanar 1 9B Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Fanar 1 9B Instruct by QCRI — VRAM 17.7GB, 4K context

Name: Fanar 1 9B Instruct
Author: QCRI

Fanar 1 9B Instruct is an open-source language model by QCRI. Features: 9b LLM, VRAM: 17.7GB, Context: 4K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.28.

Arxiv:2501.13944 Ar Base model:finetune:qcri/fanar... Base model:qcri/fanar-1-9b Conversational En Endpoints compatible Gemma2 Instruct Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/QCRI/Fanar-1-9B-Instruct

Fanar 1 9B Instruct Parameters and Internals

LLM Name	Fanar 1 9B Instruct
Repository 🤗	https://huggingface.co/QCRI/Fanar-1-9B-Instruct
Base Model(s)	Fanar 1 9B QCRI/Fanar-1-9B
Model Size	9b
Required VRAM	17.7 GB
Updated	2026-07-31
Maintainer	QCRI
Model Type	gemma2
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 2.7 GB: 4-of-4
Supported Languages	ar en
Model Architecture	Gemma2ForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.47.1
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	128256
Torch Data Type	bfloat16

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Instruction Following and Task Automation
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Data Analysis and Insight Generation
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Multi-Language Support and Translation

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Gigantes V3 Gemma2 9B It	8K / 18.6 GB	6	0
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SILMA 9B Instruct V1.0	8K / 18.6 GB	2980	86
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...B IT Simpo Infinity Preference	8K / 18.6 GB	106	19
GaMS 9B Instruct	8K / 18.6 GB	1583	2