POLAR-7B
Embeddingtransformerspytorchinternlm2feature-extractionRewardRLRFTReward Modeltext-classificationcustom_codeenzharxiv:2507.05197base_model:internlm/internlm2_5-7bbase_model:finetune:internlm/internlm2_5-7blicense:apache-2.0region:us
Context
32,768 tokens
Max Output
8,192 tokens
Released
7/4/2025
Providers
1
Overview
POLAR-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
- Embedding
Brand
internlm
Personal
View all models, pricing and details from internlm.
Specifications
Basic Information
| Model | POLAR-7B |
| Brand | internlm |
| Version | Unknown / Not disclosed |
| Model Type | transformers |
| Status | stable |
| Released | 7/4/2025 |
| Popularity | 1372 |
Architecture
| Parameter Size | Unknown / Not disclosed |
| Architecture Type | internlm2 |
| Attention Mechanism | Unknown / Not disclosed |
| Tokenizer | Unknown / Not disclosed |
| Vocabulary Size | Unknown / Not disclosed |
Context & I/O
| Context | 32,768 tokens |
| Max Output | 8,192 tokens |
| Modalities | Embedding |
| Languages | en,zh |
Capabilities
| Vision | No |
| Audio | No |
| Reasoning | No |
| Function Call | No |
| MCP | No |
| JSON Mode | No |
| Embedding | Yes |
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 POLAR-7B?
POLAR-7B is a large language model developed by internlm.
Who developed POLAR-7B?
POLAR-7B was developed by internlm. You can learn more on the brand page or official website.
What is the context length of POLAR-7B?
POLAR-7B supports up to 32,768 tokens of context.
How much does POLAR-7B API cost?
API pricing for POLAR-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.