Model overview
A DSpark speculative-decoding draft model for Qwen3.8-27B target models, trained with SpecForge and served with SGLang. The checkpoint has been evaluated with both RadixArk/Qwen3.8-27B-NVFP4 and Qwen/Qwen3.8-27B-FP8 targets. The acceptance-length evaluation below uses the NVFP4 target. The throughput evaluation uses the FP8 target. - Draft parameters: 1,857,358,337 (1.86B) - Draft weight dtype: BF16 - Hidden size: 5,120 - Transformer layers: five full-attention layers - Attention: GQA with 32 query heads and eight key/value heads - Target auxiliary feature layers: 5, 19, 33, 47, 61 - Markov head: VanillaMarkov, rank 256 - Training target width: 16 future positions - Serving gamma: seven draft proposals - Target verification width: eight tokens, including the target bonus token - Maximum position embeddings: 262,144
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：other。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。