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Fanar 1 9B by QCRI

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Fanar 1 9B is an open-source language model by QCRI. Features: 9b LLM, VRAM: 18.6GB, Context: 4K, License: apache-2.0, Merged, LLM Explorer Score: 0.2.

  Merged Model   Arxiv:2501.13944   Ar   Deploy:azure   En   Endpoints compatible   Gemma2   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/QCRI/Fanar-1-9B 

Fanar 1 9B Benchmarks

LLME Score: 0.19554
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Fanar 1 9B (QCRI/Fanar-1-9B)
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Fanar 1 9B Parameters and Internals

LLM NameFanar 1 9B
Repository 🤗https://huggingface.co/QCRI/Fanar-1-9B 
Merged ModelYes
Model Size9b
Required VRAM18.6 GB
Updated2026-07-07
MaintainerQCRI
Model Typegemma2
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   3.6 GB: 4-of-4
Supported Languagesar en
Model ArchitectureGemma2ForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.46.1
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size128256
Torch Data Typebfloat16

Best Alternatives to Fanar 1 9B

Best Alternatives
Context / RAM
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G2 GSHT 32K32K / 20.4 GB41
SystemGemma2 9B It32K / 18.6 GB62
GWQ 9B Preview28K / 18.6 GB910
Gemma 2 9B It8K / 18.6 GB80
Gemma 2 9B It8K / 18.6 GB413737802
Gemma 2 9B It SimPO8K / 18.6 GB511172
Gemma 2 9B JEE Socratic Final8K / 18.6 GB7090
Gemma 2 9B It Blend Rebase8K / 20.4 GB50
Gemma 2 9B8K / 37.1 GB81142708
Gemma 2 9B It8K / 18.6 GB8853411
Note: green Score (e.g. "73.2") means that the model is better than QCRI/Fanar-1-9B.

Rank the Fanar 1 9B 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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