Visiondiffuserssafetensorsimage-to-imageendataset:internlm/EndoCoT-Dataarxiv:2603.12252base_model:Qwen/Qwen-Image-Edit-2511base_model:finetune:Qwen/Qwen-Image-Edit-2511license:mitdiffusers:QwenImageEditPlusPipelineregion:us
컨텍스트
Unknown / Not disclosed
최대 출력
Unknown / Not disclosed
출시일
2026. 3. 11.
제공자
1
Overview
EndoCoT is a large language model developed by internlm. It supports unknown context context and is available through 1 API provider(s).
Key Highlights
- Vision
Brand
internlm
Personal
View all models, pricing and details from internlm.
Specifications
Basic Information
| 모델 | EndoCoT |
| 브랜드 | internlm |
| Version | Unknown / Not disclosed |
| Model Type | diffusers |
| 상태 | stable |
| 출시일 | 2026. 3. 11. |
| 인기 | 514 |
Architecture
| Parameter Size | Unknown / Not disclosed |
| Architecture Type | diffusion |
| Attention Mechanism | Unknown / Not disclosed |
| Tokenizer | Unknown / Not disclosed |
| Vocabulary Size | Unknown / Not disclosed |
Context & I/O
| 컨텍스트 | Unknown / Not disclosed |
| 최대 출력 | Unknown / Not disclosed |
| Modalities | Vision |
| Languages | en |
Capabilities
| Vision | Yes |
| Audio | No |
| Reasoning | No |
| Function Call | No |
| MCP | No |
| JSON Mode | No |
| Embedding | No |
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 | mit |
| Commercial Use | Unknown / Not disclosed |
| Open Source | Yes |
Provider & Pricing
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 EndoCoT?
EndoCoT is a large language model developed by internlm.
Who developed EndoCoT?
EndoCoT was developed by internlm. You can learn more on the brand page or official website.
What is the context length of EndoCoT?
The context length of EndoCoT has not been publicly disclosed.
How much does EndoCoT API cost?
API pricing for EndoCoT starts at ₩0/1M per 1M input tokens and ₩0/1M per 1M output tokens. See the pricing table above for provider-specific rates.