Model overview
高容量的Llama模型，适合复杂的分析和预测任务。
The summary below is compiled from sources by an AI model, not our own testing. Verify selection decisions against original sources and your workload.
Key features
- 参数量达700亿，属于Llama-2系列中最大规模的公开模型之一
- 专为复杂文本分析与长程预测任务设计，具备较强推理潜力
- 支持标准文本输入输出，适用于对话类应用场景
Limitations & considerations
Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.
Source prices & cost analysis
Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.
| Source / channel | Input | Output | Billing unit | Collected at |
|---|---|---|---|---|
| Apilio · default ↗ | Not verified | Not verified | 渠道倍率待核验 | 2026/11/2 06:25:18 |
| Apilio · vvip ↗ | Not verified | Not verified | 渠道倍率待核验 | 2026/11/2 06:25:18 |
Estimate monthly base token costs
Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.
Public benchmarks & run configuration
暂无已采集的可核验公开评分。模型未上榜不代表能力较低。
View full indexed rankings →Frequently asked questions
该模型是否开源？
根据提供的资料，模型以Llama2许可证发布，但具体开源程度（如商用限制、衍生要求）需查阅官方Llama 2 License原文。
能否直接在Hugging Face上访问？
是的，资料中明确列出Hugging Face链接：https://huggingface.co/meta-llama/Llama-2-70b。
模型的许可类型是什么？
许可类型为llama2，即Meta发布的Llama 2 License，非MIT、Apache等通用开源协议。
Do open weights permit free commercial use?
Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.
Are these real-time billing prices?
These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.
Sources & traceability
许可证：llama2。模型介绍与第三方评测均以原来源的具体版本和方法为准。