transformerssafetensorsqwen2text-generationconversationaldataset:internlm/OREAL-RL-Promptsarxiv:2502.06781base_model:deepseek-ai/DeepSeek-R1-Distill-Qwen-7Bbase_model:finetune:deepseek-ai/DeepSeek-R1-Distill-Qwen-7Blicense:apache-2.0text-generation-inferenceendpoints_compatibleregion:us
上下文
32,768 tokens
最大输出
8,192 tokens
发布时间
2025/2/10
供应商
1
Overview
OREAL-DeepSeek-R1-Distill-Qwen-7B 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
| 模型 | OREAL-DeepSeek-R1-Distill-Qwen-7B |
| 品牌 | internlm |
| Version | 1 |
| Model Type | transformers |
| 状态 | stable |
| 发布时间 | 2025/2/10 |
| 热度 | 601 |
Architecture
| Parameter Size | 7.6B |
| Architecture Type | qwen2 |
| Attention Mechanism | causal-mha-gqa |
| Tokenizer | Unknown / Not disclosed |
| Vocabulary Size | Unknown / Not disclosed |
Context & I/O
| 上下文 | 32,768 tokens |
| 最大输出 | 8,192 tokens |
| Modalities | Unknown / Not disclosed |
| Languages | Unknown / Not disclosed |
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
价格变动
暂无价格变动。
基准测试
No benchmark data available.
Changelog
- Page created / data imported2026/9/23
- Last updated2026/9/23
FAQ
What is OREAL-DeepSeek-R1-Distill-Qwen-7B?
OREAL-DeepSeek-R1-Distill-Qwen-7B is a large language model developed by internlm.
Who developed OREAL-DeepSeek-R1-Distill-Qwen-7B?
OREAL-DeepSeek-R1-Distill-Qwen-7B was developed by internlm. You can learn more on the brand page or official website.
What is the context length of OREAL-DeepSeek-R1-Distill-Qwen-7B?
OREAL-DeepSeek-R1-Distill-Qwen-7B supports up to 32,768 tokens of context.
How much does OREAL-DeepSeek-R1-Distill-Qwen-7B API cost?
API pricing for OREAL-DeepSeek-R1-Distill-Qwen-7B starts at ¥0.000/1M per 1M input tokens and ¥0.000/1M per 1M output tokens. See the pricing table above for provider-specific rates.