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Fanar 2 27B Instruct by QCRI

By QCRI · 10917 downloads

Fanar 2 27B Instruct is an open-source language model by QCRI. Features: 27b LLM, VRAM: 54.4GB, Context: 128K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.29.

  Arxiv:2501.13944   Arxiv:2603.16397   Ar Base model:finetune:google/gem... Base model:google/gemma-3-27b-...   Conversational   En   Endpoints compatible   Gemma3 text   Instruct   Pytorch   Region:us   Safetensors   Sharded   Tensorflow

Fanar 2 27B Instruct Parameters and Internals

LLM NameFanar 2 27B Instruct
Repository πŸ€—https://huggingface.co/QCRI/Fanar-2-27B-Instruct 
Base Model(s)  Gemma 3 27B Pt   google/gemma-3-27b-pt
Model Size27b
Required VRAM54.4 GB
Updated2026-07-24
MaintainerQCRI
Model Typegemma3_text
Instruction-BasedYes
Model Files  4.8 GB: 1-of-11   5.0 GB: 2-of-11   5.0 GB: 3-of-11   5.0 GB: 4-of-11   5.0 GB: 5-of-11   5.0 GB: 6-of-11   5.0 GB: 7-of-11   5.0 GB: 8-of-11   5.0 GB: 9-of-11   5.0 GB: 10-of-11   4.6 GB: 11-of-11
Supported Languagesar en
Model ArchitectureGemma3ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.55.4
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size262208
Torch Data Typebfloat16