transformerssafetensorsqwen2_5_vlimage-text-to-textmultimodalimage captioncaptioningconversationalendataset:internlm/CapRL-2Mdataset:internlm/CapRL-QA-75Karxiv:2509.22647license:apache-2.0text-generation-inferenceendpoints_compatibleregion:us
컨텍스트
32,768 토큰
최대 출력
8,192 토큰
출시일
2025. 9. 24.
제공자
1
Overview
CapRL-3B is a large language model developed by internlm. It supports 32,768 tokens context and is available through 1 API provider(s).
Key Highlights
- Unknown / Not disclosed
Brand
internlm
Personal
View all models, pricing and details from internlm.
Specifications
Basic Information
| 모델 | CapRL-3B |
| 브랜드 | internlm |
| Version | Unknown / Not disclosed |
| Model Type | transformers |
| 상태 | stable |
| 출시일 | 2025. 9. 24. |
| 인기 | 2728 |
Architecture
| Parameter Size | 3.8B |
| Architecture Type | qwen2_5_vl |
| Attention Mechanism | Unknown / Not disclosed |
| Tokenizer | Unknown / Not disclosed |
| Vocabulary Size | Unknown / Not disclosed |
Context & I/O
| 컨텍스트 | 32,768 tokens |
| 최대 출력 | 8,192 tokens |
| Modalities | Unknown / Not disclosed |
| Languages | en |
Capabilities
| Vision | No |
| 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 | apache-2.0 |
| 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 CapRL-3B?
CapRL-3B is a large language model developed by internlm.
Who developed CapRL-3B?
CapRL-3B was developed by internlm. You can learn more on the brand page or official website.
What is the context length of CapRL-3B?
CapRL-3B supports up to 32,768 tokens of context.
How much does CapRL-3B API cost?
API pricing for CapRL-3B starts at ₩0/1M per 1M input tokens and ₩0/1M per 1M output tokens. See the pricing table above for provider-specific rates.