Typhoon-2-70B
Parameters
70B
Context Length
128K
Modality
Text
Architecture
Dense
KV Cache Rate
320 KB/tok
License
Apache-2.0
Release Date
1 Jun 2024
Knowledge Cutoff
Dec 2023
API Pricing (per 1M)
Self-hosted only
Hardware Sizing
Precision
Context
Workload Memory: 37.60 GB
INT4 · 8K context
Base Weights: 32.60 GB
KV Cache: 2.50 GB
Runtime & Graphs: 2.50 GB
Minimum Required Hardware
1x NVIDIA A40 48GB
37.6 / 43.2 GB usable
2x RTX 4090 24GB
37.6 / 43.2 GB usable · TP 2
Apple M4 Max 128GB
37.6 / 96.0 GB usable
Determine requirements for your specific workload:
Open in VRAM Calculator
Architecture Diagram
Evaluation Benchmarks
No evaluation benchmarks for Typhoon-2-70B available.
Rankings
Overall Rank
-
Coding Rank
-
About Typhoon-2-70B
Typhoon-2-70B is a high-capacity Thai-English foundation model from SCB 10X engineered for enterprise legal reasoning, content generation, and agentic workflows. Built on Llama 3.1, it delivers bilingual parity across a 128K context window.
Technical Specifications
Attention
Attention Structure
Multi-Head Attention
Attention Heads
64
Key-Value Heads
8
Position Embedding
Absolute Position Embedding
Normalization
RMS Normalization
Activation Function
SwigLU
Dimensions
Hidden Dimension Size
8,192
Number of Layers
80
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 The models are trained on Thai-centric datasets including legal, cultural, and historical documents to ensure localized context and knowledge.