Model overview
A long-context DSpark speculator for Kimi K3. It supports context lengths of up to 1 million tokens. A DSpark speculator for the Kimi K3 target, enabling faster inference through speculative decoding. DSpark extends the DFlash parallel-draft backbone with a Markov logit-bias head and a per-position confidence head. This checkpoint was trained with SpecForge using hidden states from a live SGLang target engine. - **Base model:** `moonshotai/Kimi-K3` - **Format:** Safetensors (single-file BF16, 2,249,289,601 parameters) - **Draft:** 5 full-attention Qwen3-style GQA layers, hidden size 7168, 64 query heads / 16 KV heads, and `block_size=7` - **Verification width:** 1 current token + 7 draft tokens - **Auxiliary target layers:** `[7, 23, 51, 67, 83]` - **Trained context:** 65,536 tokens - **Target weights:** embedding and unembedding weights are not included
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
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| 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。
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Sources & traceability
许可证：未声明，须核验模型卡。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。