Embeddingtransformerspytorchinternlmfeature-extractiontext-generationconversationalcustom_codearxiv:2306.00978license:apache-2.04-bitawqregion:us
コンテキスト
4,096 トークン
最大出力
1,024 トークン
リリース日
2024/1/15
プロバイダー
1
Overview
internlm2-chat-20b-4bits is a large language model developed by internlm. It supports 4,096 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
| モデル | internlm2-chat-20b-4bits |
| ブランド | internlm |
| Version | 2 |
| Model Type | transformers |
| ステータス | stable |
| リリース日 | 2024/1/15 |
| 人気 | 797 |
Architecture
| Parameter Size | Unknown / Not disclosed |
| Architecture Type | internlm |
| Attention Mechanism | Unknown / Not disclosed |
| Tokenizer | Unknown / Not disclosed |
| Vocabulary Size | Unknown / Not disclosed |
Context & I/O
| コンテキスト | 4,096 tokens |
| 最大出力 | 1,024 tokens |
| Modalities | Embedding |
| Languages | Unknown / Not disclosed |
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
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 internlm2-chat-20b-4bits?
internlm2-chat-20b-4bits is a large language model developed by internlm.
Who developed internlm2-chat-20b-4bits?
internlm2-chat-20b-4bits was developed by internlm. You can learn more on the brand page or official website.
What is the context length of internlm2-chat-20b-4bits?
internlm2-chat-20b-4bits supports up to 4,096 tokens of context.
How much does internlm2-chat-20b-4bits API cost?
API pricing for internlm2-chat-20b-4bits starts at ￥0/1M per 1M input tokens and ￥0/1M per 1M output tokens. See the pricing table above for provider-specific rates.