Model overview
A **tiny, randomly-initialised** Llama pair for exercising *subfolder* loading of a speculative draft model. It exists so inference engines can test the code path in CI without downloading a real checkpoint. A Hugging Face repo id may contain **at most one `/`**, so `org/repo/DFlash` is not a valid id and cannot be passed as a single string. A draft bundled inside its target's repository therefore has to be addressed as a repo id *plus* a separate sub-path, which most engines have no parameter for. This matters in practice: shipping a draft inside its target repo keeps the pair versioned together and downloadable in one fetch, rather than as two repos that can drift apart.
Key features
特点摘要待依据来源补齐，不凭模型名称推断能力。
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 |
|---|---|---|---|---|
| No verified prices yet. Check the source channel. | ||||
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
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：apache-2.0。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。