OREAL-7B
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
Context
32,768 tokens
Max Output
8,192 tokens
Released
2/10/2025
Providers
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
Personal
View all models, pricing and details from internlm.
Specifications
Basic Information
| Model | OREAL-7B |
| Brand | internlm |
| Version | Unknown / Not disclosed |
| Model Type | transformers |
| Status | stable |
| Released | 2/10/2025 |
| Popularity | 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
| Context | 32,768 tokens |
| Max Output | 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
| Provider | Input | Output | Cache | Batch | Website |
|---|---|---|---|---|---|
| internlm | $0.000/1M | $0.000/1M | - | - | Visit Website |
Price Changes
No recorded price changes.
Benchmarks
No benchmark data available.
Changelog
- Page created / data imported9/23/2026
- Last updated9/23/2026
Frequently Asked Questions
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 $0.000/1M per 1M input tokens and $0.000/1M per 1M output tokens. See the pricing table above for provider-specific rates.