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Sahabat-AI-Gemma2-9B-Instruct

Parameters

9.2B

Context Length

8.192K

Modality

Text

Architecture

Dense

License

Gemma-Community

Release Date

14 Nov 2024

Knowledge Cutoff

-

Technical Specifications

Attention Structure

Multi-Head Attention

Hidden Dimension Size

-

Number of Layers

-

Attention Heads

-

Key-Value Heads

-

Activation Function

-

Normalization

-

Position Embedding

Absolute Position Embedding

System Requirements

VRAM requirements for different quantization methods and context sizes

Sahabat-AI-Gemma2-9B-Instruct

The instruction-tuned version of the Sahabat-AI 9B model, optimized for conversational AI and following instructions in Indonesian, Javanese, and Sundanese.

About Sahabat-AI

Sahabat-AI is an Indonesian language model family co-initiated by GoTo and Indosat Ooredoo Hutchison. Developed with AI Singapore and NVIDIA, it is a collection of models (based on Gemma 2 and Llama 3) specifically optimized for Bahasa Indonesia and regional languages like Javanese and Sundanese.


Other Sahabat-AI Models

Evaluation Benchmarks

No evaluation benchmarks for Sahabat-AI-Gemma2-9B-Instruct available.

Rankings

Overall Rank

-

Coding Rank

-

GPU Requirements

Full Calculator

Choose the quantization method for model weights

Context Size: 1,024 tokens

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VRAM Required:

Recommended GPUs

Sahabat-AI-Gemma2-9B-Instruct: Specifications and GPU VRAM Requirements