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Typhoon-2-8B

Parameters

8B

Context Length

128K

Modality

Text

Architecture

Dense

License

Apache-2.0

Release Date

1 Jun 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

Typhoon-2-8B

Typhoon-2-8B is an 8 billion parameter model optimized for Thai language processing. It features an expanded context length of 128,000 tokens and supports function calling. The model is trained to handle Thai cultural nuances and specific domains such as Thai law and local administration. Released under the Apache 2.0 license.

About Typhoon

Typhoon is a Thai language model family developed by SCB 10X. It is specifically optimized for the Thai language, addressing complexities such as the lack of word delimiters and tonal nuances. The models are trained on Thai-centric datasets including legal, cultural, and historical documents to ensure localized context and knowledge.


Other Typhoon Models

Evaluation Benchmarks

No evaluation benchmarks for Typhoon-2-8B available.

Rankings

Overall Rank

-

Coding Rank

-

GPU Requirements

Full Calculator

Choose the quantization method for model weights

Context Size: 1,024 tokens

1k
63k
125k

VRAM Required:

Recommended GPUs

Typhoon-2-8B: Specifications and GPU VRAM Requirements