Typhoon-2-8B
Parameters
8B
Context Length
128K
Modality
Text
Architecture
Dense
KV Cache Rate
128 KB/tok
License
Apache-2.0
Release Date
1 Jun 2024
Knowledge Cutoff
Mar 2023
API Pricing (per 1M)
Self-hosted only
Hardware Sizing
Precision
Context
Workload Memory: 7.23 GB
INT4 · 8K context
Base Weights: 3.73 GB
KV Cache: 1.00 GB
Runtime & Graphs: 2.50 GB
Minimum Required Hardware
1x NVIDIA L4 24GB
7.2 / 21.6 GB usable
1x RTX 3060 12GB
7.2 / 10.8 GB usable
Apple M4 24GB
7.2 / 18.0 GB usable
Determine requirements for your specific workload:
Open in VRAM Calculator
Architecture Diagram
Evaluation Benchmarks
No evaluation benchmarks for Typhoon-2-8B available.
Rankings
Overall Rank
-
Coding Rank
-
About Typhoon-2-8B
Typhoon-2-8B is a Thai-English language model developed by SCB 10X on the Llama 3 architecture with Thai-specific tokenizer adaptations. It features function calling and Grouped-Query Attention across an extensive 128K token context window.
Technical Specifications
Attention
Attention Structure
Multi-Head Attention
Attention Heads
32
Key-Value Heads
8
Position Embedding
Absolute Position Embedding
Normalization
RMS Normalization
Activation Function
SwigLU
Dimensions
Hidden Dimension Size
4,096
Number of Layers
32
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 The models are trained on Thai-centric datasets including legal, cultural, and historical documents to ensure localized context and knowledge.