Embeddingsentence-transformerssafetensorsgemma3_textsentence-similarityfeature-extractiontext-embeddings-inferencearxiv:2509.20354license:gemmaeval-resultsendpoints_compatibleregion:us
컨텍스트
131,072 토큰
최대 출력
8,192 토큰
출시일
2025. 7. 17.
제공자
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
국가: USA
View all models, pricing and details from Google.
Specifications
Basic Information
| 모델 | embeddinggemma-300m |
| 브랜드 | |
| Version | Unknown / Not disclosed |
| Model Type | sentence-transformers |
| 상태 | stable |
| 출시일 | 2025. 7. 17. |
| 인기 | 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
| 컨텍스트 | 131,072 tokens |
| 최대 출력 | 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
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가격 변동
가격 변동 기록이 없습니다.
벤치마크
No benchmark data available.
Changelog
- Page created / data imported2026. 9. 23.
- Last updated2026. 9. 23.
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.