transformerssafetensorsqwen2text-generationconversationaldataset:internlm/OREAL-RL-Promptsarxiv:2502.06781base_model:internlm/OREAL-7B-SFTbase_model:finetune:internlm/OREAL-7B-SFTlicense:apache-2.0text-generation-inferenceendpoints_compatibleregion:us
コンテキスト
32,768 トークン
最大出力
8,192 トークン
リリース日
2025/2/10
プロバイダー
1
Overview
OREAL-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
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View all models, pricing and details from internlm.
Specifications
Basic Information
| モデル | OREAL-7B |
| ブランド | internlm |
| Version | Unknown / Not disclosed |
| Model Type | transformers |
| ステータス | stable |
| リリース日 | 2025/2/10 |
| 人気 | 1155 |
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
| コンテキスト | 32,768 tokens |
| 最大出力 | 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
価格変更
価格変更の記録がありません。
ベンチマーク
No benchmark data available.
Changelog
- Page created / data imported2026/9/23
- Last updated2026/9/23
FAQ
What is OREAL-7B?
OREAL-7B is a large language model developed by internlm.
Who developed OREAL-7B?
OREAL-7B was developed by internlm. You can learn more on the brand page or official website.
What is the context length of OREAL-7B?
OREAL-7B supports up to 32,768 tokens of context.
How much does OREAL-7B API cost?
API pricing for OREAL-7B starts at ￥0/1M per 1M input tokens and ￥0/1M per 1M output tokens. See the pricing table above for provider-specific rates.