LLM Name | Fanar 1 9B Instruct |
Repository ๐ค | https://huggingface.co/QCRI/Fanar-1-9B-Instruct |
Base Model(s) | |
Model Size | 9b |
Required VRAM | 17.7 GB |
Updated | 2025-08-09 |
Maintainer | QCRI |
Model Type | gemma2 |
Instruction-Based | Yes |
Model Files | |
Supported Languages | ar en |
Model Architecture | Gemma2ForCausalLM |
License | apache-2.0 |
Context Length | 8192 |
Model Max Length | 8192 |
Transformers Version | 4.47.1 |
Tokenizer Class | GemmaTokenizer |
Padding Token | <pad> |
Vocabulary Size | 128256 |
Torch Data Type | bfloat16 |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
---|---|---|---|
...2 9B Cpt Sahabatai V1 Instruct | 8K / 18.6 GB | 2314 | 44 |
SILMA 9B Instruct V1.0 | 8K / 18.6 GB | 23066 | 77 |
Gemma Evo 10B | 8K / 20.4 GB | 41 | 5 |
Gigantes V2 Gemma2 9B It | 8K / 18.6 GB | 3 | 1 |
Gigantes V3 Gemma2 9B It | 8K / 18.6 GB | 5 | 0 |
Gigantes V1 Gemma2 9B It | 8K / 18.6 GB | 4 | 2 |
Turkish Gemma 9B V0.1 | 8K / 18.6 GB | 3296 | 24 |
Magnum V4 9B | 8K / 18.6 GB | 911 | 17 |
Odin 9B | 8K / 18.6 GB | 795 | 5 |
...B IT Simpo Infinity Preference | 8K / 18.6 GB | 804 | 17 |
๐ 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! ๐