Qwen2.5-72B
Parameters
72B
Context Length
131K
Modality
Text
Architecture
Dense
License
Qwen License
Release Date
19 Sept 2024
Knowledge Cutoff
Jun 2024
API Pricing (per 1M)
Input: $0.47 · Output: $0.49
System Requirements
VRAM requirements for different quantization methods and context sizes
1,024 tokens
Consumer
8x RTX 4090
24GB VRAM
Datacenter
3x NVIDIA A100
80GB VRAM
Apple Silicon
2x Apple M3 Max
128GB VRAM
131,072 tokens
Consumer
10x RTX 4090
24GB VRAM
Datacenter
3x NVIDIA A100
80GB VRAM
Apple Silicon
2x Apple M3 Max
128GB VRAM
Architecture Diagram
Evaluation Benchmarks
Rank
#126
| Benchmark | Score | Rank |
|---|---|---|
Professional Knowledge | 0.711 | 31 |
Graduate-Level QA | 0.49 | 91 |
General Text | 1303 | 125 |
Intelligence Index | 0.08 | 212 |
StackEval Archived | 0.891 | 9 |
QA Assistant Archived | 0.935 | 12 |
Summarization Archived | 0.742 | 18 |
Rankings
Overall Rank
#126
Coding Rank
-
About Qwen2.5-72B
Qwen2.5-72B is Alibaba Cloud's flagship open-weights dense model engineered for advanced coding, mathematical reasoning, and multi-turn enterprise agents. It excels at long-form generation and structured data comprehension over a 131K context window.
Technical Specifications
Attention
Attention Structure
Grouped-Query Attention
Attention Heads
128
Key-Value Heads
8
Attention Head Dimension
-
Position Embedding
ROPE
RoPE Theta
1,000,000
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
12,288
Number of Layers
80
FFN Intermediate Size (Dense)
29,568
Multi-Token Prediction Heads
-
Tokenizer
Vocabulary Size
152,064
About Qwen2.5
Qwen2.5 by Alibaba is a family of dense, decoder-only language models available in various sizes, with some variants utilizing Mixture-of-Experts. These models are pretrained on large-scale datasets, supporting extended context lengths and multilingual communication. The family includes specialized models for coding, mathematics, and multimodal tasks, such as vision and audio processing.