GLM-Z1-9B-0414

reasoning

GLM-Z1-9B-0414 is a 9.4-billion-parameter model from the new GLM-4-0414 series, which came as a genuine surprise even to its developers. Despite its relatively small parameter count, it was trained using all the key techniques employed in creating much larger models within this series. This approach has resulted in unexpectedly high levels of accuracy, logical reasoning, and overall performance.

The model underwent comprehensive training, starting with pre-training on vast volumes of high-quality data, and continuing through advanced post-training stages (preference alignment, rejection sampling, and reinforcement learning based on pairwise ranking feedback). These methods enabled the model to better understand what constitutes the most helpful and accurate responses in specific situations.

Special emphasis was placed on developing reasoning capabilities during training, particularly for solving mathematical problems and logical puzzles. These skills make the model effective not only in standard question-answer scenarios but also in handling more complex analytical tasks. Furthermore, thanks to its compact size, GLM-Z1-9B-0414 demonstrates excellent computational efficiency, making it an ideal choice for resource-constrained environments.


Announce Date: 14.04.2025
Parameters: 10B
Context: 33K
Layers: 40
Attention Type: Full Attention
Developer: Z.ai
Transformers Version: 4.52.0.dev0
License: Apache 2.0

Public endpoint

Use our pre-built public endpoints for free to test inference and explore GLM-Z1-9B-0414 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 GLM-Z1-9B-0414

Prices:
Name GPU Price, hour TPS Max Concurrency
teslaa2-1.16.32.160
32,768.0
1 $0.38 2.954 Launch
teslaa10-1.16.32.160
32,768.0
1 $0.53 43.50 8.768 Launch
rtx3090-1.16.24.160
32,768.0
1 $0.83 78.14 9.548 Launch
rtx3080-2.16.32.160
32,768.0
tensor
2 $0.97 3.850 Launch
rtx4090-1.16.32.160
32,768.0
1 $1.02 109.82 9.519 Launch
rtx3090-2.16.64.160.nvlink
32,768.0
tensor
2 $1.56 24.384 Launch
rtx5090-1.16.64.160
32,768.0
1 $1.59 15.282 Launch
teslaa100-1.16.64.160
32,768.0
1 $2.37 50.536 Launch
h100-1.16.64.160
32,768.0
1 $3.83 107.92 50.484 Launch
h100nvl-1.16.96.160
32,768.0
1 $4.11 60.722 Launch
teslaa100-2.24.96.160.nvlink
32,768.0
tensor
2 $4.61 106.360 Launch
h200-1.16.128.160
32,768.0
1 $4.74 95.101 Launch
h200-2.24.256.160.nvlink
32,768.0
tensor
2 $9.40 195.490 Launch
Prices:
Name GPU Price, hour TPS Max Concurrency
teslaa2-2.16.32.160
32,768.0
tensor
2 $0.57 4.395 Launch
rtx3090-1.16.24.160
32,768.0
1 $0.83 43.15 1.772 Launch
teslaa10-2.16.64.160
32,768.0
tensor
2 $0.93 16.024 Launch
rtx4090-1.16.32.160
32,768.0
1 $1.02 1.743 Launch
rtx3080-3.16.64.160
32,768.0
pipeline
3 $1.43 1.803 Launch
rtx3090-2.16.64.160.nvlink
32,768.0
tensor
2 $1.56 17.584 Launch
rtx5090-1.16.64.160
32,768.0
1 $1.59 7.506 Launch
rtx3080-4.16.64.160
32,768.0
tensor
4 $1.82 4.070 Launch
teslaa100-1.16.64.160
32,768.0
1 $2.37 48.25 42.720 Launch
h100-1.16.64.160
32,768.0
1 $3.83 42.708 Launch
h100nvl-1.16.96.160
32,768.0
1 $4.11 52.946 Launch
teslaa100-2.24.96.160.nvlink
32,768.0
tensor
2 $4.61 99.560 Launch
h200-1.16.128.160
32,768.0
1 $4.74 87.325 Launch
h200-2.24.256.160.nvlink
32,768.0
tensor
2 $9.40 188.690 Launch

Related models

Need help?

Contact our dedicated neural networks support team at support@immers.cloud or send your request to the sales department at sale@immers.cloud.

We use cookies and web analytics services to ensure the proper functioning of the website, analyze web-site traffic, and improve the quality of our services.
By continuing to use the website, you consent to the Privacy Policy and consent to the processing of cookie files and technical data.