Yi-34B
Parameters
34B
Context Length
4K
Modality
Text
Architecture
Dense
License
Apache 2.0
Release Date
2 Nov 2023
Knowledge Cutoff
Jun 2023
API Pricing (per 1M)
Input: $0.90 · Output: $0.90
System Requirements
VRAM requirements for different quantization methods and context sizes
1,024 tokens
Consumer
4x RTX 4090
24GB VRAM
Datacenter
1x NVIDIA A100
80GB VRAM
Apple Silicon
1x Apple M3 Max
128GB VRAM
4,096 tokens
Consumer
4x RTX 4090
24GB VRAM
Datacenter
1x NVIDIA A100
80GB VRAM
Apple Silicon
1x Apple M3 Max
128GB VRAM
Architecture Diagram
Evaluation Benchmarks
Rank
#196
| Benchmark | Score | Rank |
|---|---|---|
General Text | 1183 | 159 |
Rankings
Overall Rank
#196
Coding Rank
-
About Yi-34B
Yi-34B is a foundational bilingual model developed by 01.AI, pretrained on 3T multilingual tokens for advanced English and Chinese text comprehension. It features Grouped-Query Attention and supports context lengths extending up to 200K tokens.
Technical Specifications
Attention
Attention Structure
Multi-Head Attention
Attention Heads
56
Key-Value Heads
8
Attention Head Dimension
-
Position Embedding
Absolute Position Embedding
RoPE Theta
5,000,000
Sliding Window Attention
No
Sliding Window Size
-
Sliding Window Ratio
-
Linear Attention
-
Linear Attention Ratio
-
Normalization
RMS Normalization
Activation Function
SwigLU
Dimensions
Hidden Dimension Size
7,168
Number of Layers
60
FFN Intermediate Size (Dense)
20,480
Multi-Token Prediction Heads
-
Tokenizer
Vocabulary Size
64,000