Yi-9B
Parameters
9B
Context Length
4K
Modality
Text
Architecture
Dense
KV Cache Rate
88 KB/tok
License
Apache 2.0
Release Date
6 Mar 2024
Knowledge Cutoff
Jun 2023
API Pricing (per 1M)
Self-hosted only
Hardware Sizing
Precision
Context
Workload Memory: 7.03 GB
INT4 · 4K context
Base Weights: 4.19 GB
KV Cache: 0.34 GB
Runtime & Graphs: 2.50 GB
Minimum Required Hardware
1x NVIDIA L4 24GB
7.0 / 21.6 GB usable
1x RTX 3060 12GB
7.0 / 10.8 GB usable
Apple M4 24GB
7.0 / 18.0 GB usable
Determine requirements for your specific workload:
Open in VRAM Calculator
Architecture Diagram
Evaluation Benchmarks
No evaluation benchmarks for Yi-9B available.
Rankings
Overall Rank
-
Coding Rank
-
About Yi-9B
Yi-9B is an efficient dense transformer by 01.AI engineered for technical reasoning, mathematics, and bilingual coding on consumer hardware. Pretrained on 3.9T tokens, it provides a strong balance of analytical depth and local throughput.
Technical Specifications
Attention
Attention Structure
Multi-Head Attention
Attention Heads
32
Key-Value Heads
4
Attention Head Dimension
128
Position Embedding
Absolute Position Embedding
RoPE Theta
10,000
Normalization
RMS Normalization
Activation Function
SwigLU
Dimensions
Hidden Dimension Size
4,096
Number of Layers
44
FFN Intermediate Size (Dense)
11,008
Tokenizer
Vocabulary Size
64,000