Qwen2.5-14B features 14 billion parameters, 48 layers, and a 40/8 attention head architecture, representing a substantial increase in computational power and complexity compared to the 7B version. The model supports a 128K-token context window with 8K-token generation capability, enabling it to process voluminous documents and execute complex multi-step tasks.
The uniqueness of Qwen2.5-14B lies in its reintroduction to the series after being absent from Qwen2, effectively bridging the critical gap between 7B and larger models. This size proves particularly valuable for organizations requiring high performance without the substantial costs associated with 32B or 72B-level models. The model demonstrates significant improvements in expert-level knowledge, complex reasoning, and multi-domain task handling capabilities.
Qwen2.5-14B is ideally suited for medium-to-large scale enterprise applications demanding high-quality processing with reasonable infrastructure costs. The model excels in knowledge management systems, comprehensive analytics, and serves as an excellent foundation for developing industry-specific AI solutions.
| Model Name | Context | Type | GPU | Status | Link |
|---|
There are no public endpoints for this model yet.
An endpoint is a server with pre-installed software that automatically downloads neural network weights and launches an OpenAI-compatible API to handle incoming requests.
A private endpoint is created within the user's project, belongs exclusively to the user, and is billed per server configuration in accordance with the infrastructure pricing.
We recommend creating private endpoints when you need to:
| Name | GPU | TPS | Max Concurrency | |||
|---|---|---|---|---|---|---|
32,768.0 |
1 | $0.53 | 49.96 | 1.331 | Launch | |
32,768.0 tensor |
2 | $0.57 | 25.47 | 1.788 | Launch | |
32,768.0 |
1 | $0.83 | 81.00 | 1.493 | Launch | |
32,768.0 |
1 | $1.02 | 98.50 | 1.648 | Launch | |
32,768.0 pipeline |
3 | $1.43 | 62.62 | 1.161 | Launch | |
32,768.0 tensor |
2 | $1.56 | 4.536 | Launch | ||
32,768.0 |
1 | $1.59 | 2.688 | Launch | ||
32,768.0 tensor |
4 | $1.82 | 2.065 | Launch | ||
32,768.0 |
1 | $2.37 | 118.20 | 10.033 | Launch | |
32,768.0 |
1 | $3.83 | 154.67 | 10.022 | Launch | |
32,768.0 |
1 | $4.11 | 12.155 | Launch | ||
32,768.0 tensor |
2 | $4.61 | 21.614 | Launch | ||
32,768.0 |
1 | $4.74 | 19.317 | Launch | ||
32,768.0 tensor |
2 | $9.40 | 40.183 | Launch | ||
| Name | GPU | TPS | Max Concurrency | |||
|---|---|---|---|---|---|---|
32,768.0 tensor |
2 | $0.57 | 19.10 | 1.334 | Launch | |
32,768.0 tensor |
2 | $0.93 | 52.06 | 3.750 | Launch | |
32,768.0 tensor |
2 | $1.56 | 72.52 | 4.088 | Launch | |
32,768.0 tensor |
2 | $1.56 | 4.088 | Launch | ||
32,768.0 |
1 | $1.59 | 1.934 | Launch | ||
32,768.0 tensor |
2 | $1.92 | 82.54 | 4.056 | Launch | |
32,768.0 |
1 | $2.37 | 76.57 | 9.152 | Launch | |
32,768.0 |
1 | $3.83 | 76.17 | 9.089 | Launch | |
32,768.0 |
1 | $4.11 | 109.54 | 11.220 | Launch | |
32,768.0 tensor |
2 | $4.61 | 21.153 | Launch | ||
32,768.0 |
1 | $4.74 | 18.563 | Launch | ||
32,768.0 tensor |
2 | $9.40 | 39.722 | Launch | ||
| Name | GPU | TPS | Max Concurrency | |||
|---|---|---|---|---|---|---|
32,768.0 tensor |
2 | $0.93 | 1.710 | Launch | ||
32,768.0 pipeline |
3 | $1.06 | 1.253 | Launch | ||
32,768.0 tensor |
4 | $1.26 | 3.218 | Launch | ||
32,768.0 tensor |
2 | $1.56 | 46.96 | 2.055 | Launch | |
32,768.0 tensor |
2 | $1.56 | 2.055 | Launch | ||
32,768.0 tensor |
2 | $1.92 | 55.72 | 2.023 | Launch | |
32,768.0 |
1 | $2.37 | 48.01 | 7.235 | Launch | |
32,768.0 tensor |
2 | $2.93 | 4.424 | Launch | ||
32,768.0 |
1 | $3.83 | 56.95 | 7.224 | Launch | |
32,768.0 |
1 | $4.11 | 9.357 | Launch | ||
32,768.0 tensor |
2 | $4.61 | 19.113 | Launch | ||
32,768.0 |
1 | $4.74 | 16.519 | Launch | ||
32,768.0 tensor |
2 | $9.40 | 37.682 | Launch | ||
Contact our dedicated neural networks support team at support@immers.cloud or send your request to the sales department at sale@immers.cloud.