Qwen2.5-7B-Instruct

Qwen2.5-7B is a 7-billion-parameter model featuring 28 layers and a 28/4 attention head architecture, delivering substantially expanded capabilities compared to smaller versions. Its key advantage lies in supporting an extended 128K-token context window while maintaining 8K-token generation capacity, enabling it to process lengthy documents and retain complex multi-step tasks in memory.

The model demonstrates significantly enhanced capabilities in mathematical computations, programming, and logical reasoning due to the incorporation of specialized data during pretraining. It also shows substantial progress in understanding structured data formats including tables and JSON.

Qwen2.5-7B represents the optimal choice for most business applications requiring high-quality natural language processing without excessive infrastructure demands. The model excels at workflow automation, long-document analysis, and building intelligent decision-support systems.


Announce Date: 16.09.2024
Parameters: 8B
Context: 33K
Layers: 28
Attention Type: Full Attention
Developer: Qwen
Transformers Version: 4.43.1
License: Apache 2.0

Public endpoint

Use our pre-built public endpoints for free to test inference and explore Qwen2.5-7B-Instruct capabilities. You can obtain an API access token on the token management page after registration and verification.
Model Name Context Type GPU Status Link
There are no public endpoints for this model yet.

Private server

Rent your own physically dedicated instance with hourly or long-term monthly billing.

We recommend deploying private instances in the following scenarios:

  • maximize endpoint performance,
  • enable full context for long sequences,
  • ensure top-tier security for data processing in an isolated, dedicated environment,
  • use custom weights, such as fine-tuned models or LoRA adapters.

Recommended server configurations for hosting Qwen2.5-7B-Instruct

Prices:
Name GPU Price, hour TPS Max Concurrency
teslat4-1.16.16.160
32,768.0
1 $0.33 2.804 Launch
teslaa2-1.16.32.160
32,768.0
1 $0.38 2.825 Launch
teslaa10-1.16.32.160
32,768.0
1 $0.53 6.978 Launch
rtx2080ti-2.12.64.160
32,768.0
tensor
2 $0.69 4.367 Launch
rtx3090-1.16.24.160
32,768.0
1 $0.83 7.535 Launch
rtx3080-2.16.32.160
32,768.0
tensor
2 $0.97 3.368 Launch
rtx4090-1.16.32.160
32,768.0
1 $1.02 7.514 Launch
rtxa5000-2.16.64.160.nvlink
32,768.0
tensor
2 $1.23 16.921 Launch
rtx5090-1.16.64.160
32,768.0
1 $1.59 11.631 Launch
teslaa100-1.16.64.160
32,768.0
1 $2.37 36.812 Launch
h100-1.16.64.160
32,768.0
1 $3.83 36.776 Launch
h100nvl-1.16.96.160
32,768.0
1 $4.11 44.088 Launch
teslaa100-2.24.96.160.nvlink
32,768.0
tensor
2 $4.61 76.590 Launch
h200-1.16.128.160
32,768.0
1 $4.74 68.644 Launch
h200-2.24.256.160.nvlink
32,768.0
tensor
2 $9.40 140.254 Launch
Prices:
Name GPU Price, hour TPS Max Concurrency
teslat4-1.16.16.160
32,768.0
1 $0.33 1.052 Launch
teslaa2-1.16.32.160
32,768.0
1 $0.38 1.073 Launch
teslaa10-1.16.32.160
32,768.0
1 $0.53 61.420 5.226 Launch
rtx2080ti-2.12.64.160
32,768.0
tensor
2 $0.69 2.615 Launch
rtx3090-1.16.24.160
32,768.0
1 $0.83 5.783 Launch
rtx3080-2.16.32.160
32,768.0
tensor
2 $0.97 1.616 Launch
rtx4090-1.16.32.160
32,768.0
1 $1.02 5.762 Launch
rtxa5000-2.16.64.160.nvlink
32,768.0
tensor
2 $1.23 15.169 Launch
rtx5090-1.16.64.160
32,768.0
1 $1.59 9.878 Launch
teslaa100-1.16.64.160
32,768.0
1 $2.37 128.000 35.060 Launch
h100-1.16.64.160
32,768.0
1 $3.83 134.380 35.023 Launch
h100nvl-1.16.96.160
32,768.0
1 $4.11 180.200 42.336 Launch
teslaa100-2.24.96.160.nvlink
32,768.0
tensor
2 $4.61 74.837 Launch
h200-1.16.128.160
32,768.0
1 $4.74 66.892 Launch
h200-2.24.256.160.nvlink
32,768.0
tensor
2 $9.40 138.501 Launch
Prices:
Name GPU Price, hour TPS Max Concurrency
teslaa10-1.16.32.160
32,768.0
1 $0.53 1.837 Launch
teslat4-2.16.32.160
32,768.0
tensor
2 $0.54 3.432 Launch
teslaa2-2.16.32.160
32,768.0
tensor
2 $0.57 3.474 Launch
rtx3090-1.16.24.160
32,768.0
1 $0.83 2.394 Launch
rtx2080ti-3.12.24.120
32,768.0
pipeline
3 $0.84 2.313 Launch
rtx4090-1.16.32.160
32,768.0
1 $1.02 2.373 Launch
rtx2080ti-4.16.32.160
32,768.0
tensor
4 $1.12 6.557 Launch
rtxa5000-2.16.64.160.nvlink
32,768.0
tensor
2 $1.23 11.780 Launch
rtx5090-1.16.64.160
32,768.0
1 $1.59 6.490 Launch
rtx3080-4.16.64.160
32,768.0
tensor
4 $1.82 4.560 Launch
teslaa100-1.16.64.160
32,768.0
1 $2.37 31.671 Launch
h100-1.16.64.160
32,768.0
1 $3.83 31.634 Launch
h100nvl-1.16.96.160
32,768.0
1 $4.11 38.947 Launch
teslaa100-2.24.96.160.nvlink
32,768.0
tensor
2 $4.61 71.448 Launch
h200-1.16.128.160
32,768.0
1 $4.74 63.503 Launch
h200-2.24.256.160.nvlink
32,768.0
tensor
2 $9.40 135.112 Launch

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