Gemma 3 1B — a compact language model developed by Google DeepMind, achieving an impressive balance between size and capabilities. With just 1 billion parameters and a context window of 32,000 tokens, the model is highly efficient and capable of running on devices with limited resources. Thanks to its architecture, Gemma 3 1B optimizes memory usage, making it an ideal choice for embedded systems and mobile applications.
It's important to note that the 1B version is a text-only model and does not support image processing, unlike the larger variants in the Gemma 3 series (4B, 12B, and 27B), which offer multimodal capabilities.
Additionally, the model has limited language support and is primarily optimized for tasks in English.
Gemma 3 1B is available with open weights, making it easy to fine-tune and adapt to specific use cases. It comes in multiple quantization levels, ranging from 32-bit down to 4-bit, providing added flexibility when deploying on different hardware platforms.
| 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 | $0.38 | 52.19 | 46.484 | Launch | |
32,768.0 |
1 | $0.53 | 70.13 | 78.109 | Launch | |
32,768.0 |
1 | $0.83 | 85.10 | 82.341 | Launch | |
32,768.0 |
1 | $1.02 | 95.84 | 82.182 | Launch | |
32,768.0 tensor |
2 | $1.56 | 46.411 | Launch | ||
32,768.0 |
1 | $1.59 | 94.31 | 113.484 | Launch | |
32,768.0 |
1 | $2.37 | 105.64 | 304.670 | Launch | |
32,768.0 |
1 | $3.83 | 103.88 | 131.769 | Launch | |
32,768.0 |
1 | $4.11 | 205.74 | 144.935 | Launch | |
32,768.0 tensor |
2 | $4.61 | 268.740 | Launch | ||
32,768.0 |
1 | $4.74 | 228.917 | Launch | ||
32,768.0 tensor |
2 | $9.40 | 229.894 | Launch | ||
| Name | GPU | TPS | Max Concurrency | |||
|---|---|---|---|---|---|---|
32,768.0 |
1 | $0.38 | 51.26 | 42.492 | Launch | |
32,768.0 |
1 | $0.53 | 62.69 | 74.117 | Launch | |
32,768.0 |
1 | $0.83 | 80.56 | 78.349 | Launch | |
32,768.0 |
1 | $1.02 | 89.07 | 78.189 | Launch | |
32,768.0 tensor |
2 | $1.56 | 44.436 | Launch | ||
32,768.0 |
1 | $1.59 | 83.91 | 109.492 | Launch | |
32,768.0 |
1 | $2.37 | 110.85 | 300.678 | Launch | |
32,768.0 |
1 | $3.83 | 116.27 | 129.990 | Launch | |
32,768.0 |
1 | $4.11 | 260.99 | 143.157 | Launch | |
32,768.0 tensor |
2 | $4.61 | 266.765 | Launch | ||
32,768.0 |
1 | $4.74 | 227.139 | Launch | ||
32,768.0 tensor |
2 | $9.40 | 229.005 | Launch | ||
Contact our dedicated neural networks support team at support@immers.cloud or send your request to the sales department at sale@immers.cloud.