embeddinggemma-300m
Embeddingsentence-transformerssafetensorsgemma3_textsentence-similarityfeature-extractiontext-embeddings-inferencearxiv:2509.20354license:gemmaeval-resultsendpoints_compatibleregion:us
Kontext
131,072 Tokens
Max. Output
8,192 Tokens
Veröffentlicht
17.7.2025
Anbieter
1
Overview
embeddinggemma-300m is a large language model developed by Google. It supports 131,072 tokens context and is available through 1 API provider(s).
Key Highlights
- Embedding
Brand
Organization
Land: USA
View all models, pricing and details from Google.
Specifications
Basic Information
| Modell | embeddinggemma-300m |
| Marke | |
| Version | Unknown / Not disclosed |
| Model Type | sentence-transformers |
| Status | stable |
| Veröffentlicht | 17.7.2025 |
| Beliebtheit | 2880328 |
Architecture
| Parameter Size | 302.9M |
| Architecture Type | gemma3_text |
| Attention Mechanism | Unknown / Not disclosed |
| Tokenizer | Unknown / Not disclosed |
| Vocabulary Size | Unknown / Not disclosed |
Context & I/O
| Kontext | 131,072 tokens |
| Max. Output | 8,192 tokens |
| Modalities | Embedding |
| Languages | Unknown / Not disclosed |
Capabilities
| Vision | No |
| Audio | No |
| Reasoning | No |
| Function Call | No |
| MCP | No |
| JSON Mode | No |
| Embedding | Yes |
Training Data
| Training Dataset | Unknown / Not disclosed |
| Estimated Data Size | Unknown / Not disclosed |
| Knowledge Cutoff | Unknown / Not disclosed |
Inference & Deployment
| API Access | Yes |
| VRAM Estimate | Unknown / Not disclosed |
| Quantization Support | Unknown / Not disclosed |
| Hardware Requirements | Unknown / Not disclosed |
Safety & Compliance
| Safety Evaluations | Unknown / Not disclosed |
| Content Policy | Unknown / Not disclosed |
| Region Restrictions | Unknown / Not disclosed |
License & Pricing
| License | gemma |
| Commercial Use | Unknown / Not disclosed |
| Open Source | No |
Provider & Pricing
Keine Preisdaten verfügbar.
Preisänderungen
Keine Preisänderungen verfügbar.
Benchmarks
No benchmark data available.
Changelog
- Page created / data imported23.9.2026
- Last updated23.9.2026
FAQ
What is embeddinggemma-300m?
embeddinggemma-300m is a large language model developed by Google.
Who developed embeddinggemma-300m?
embeddinggemma-300m was developed by Google. You can learn more on the brand page or official website.
What is the context length of embeddinggemma-300m?
embeddinggemma-300m supports up to 131,072 tokens of context.
How much does embeddinggemma-300m API cost?
Pricing information for embeddinggemma-300m is not currently available.