| # Algorithms | |
| Speculators supports six speculative decoding algorithms. All are lossless -- they produce output from the same distribution as the target model. | |
| ## [Eagle-3](eagle3.md) | |
| Predicts draft tokens autoregressively using Llama-style draft layers. The more established algorithm with mature support in both Speculators and vLLM. | |
| ## [P-EAGLE](peagle.md) | |
| Extends Eagle-3 with parallel multi-token prediction across multiple depths, using COD sampling for memory-efficient training. | |
| ## [DFlash](dflash.md) | |
| Predicts all draft tokens in a single forward pass using block-based prediction with Qwen3-style draft layers. Newer, with support improving rapidly. | |
| ## [DFlash2](dflash2.md) | |
| Adds local dynamic convolutions and a predecessor-conditioned candidate selector to DFlash while retaining one parallel draft-model forward pass. Experimental training support. | |
| ## [DSpark](dspark.md) | |
| Extends DFlash with a Markov head for intra-block token dependencies and a confidence head predicting per-position acceptance. Newer, with support improving rapidly. | |
| ## [MTP](mtp.md) | |
| Finetunes the model's native multi-token prediction head on domain-specific data. Available for models with built-in MTP support (e.g. Qwen3-Next, Qwen3.5). | |
| ## Choosing an Algorithm | |
| Most algorithms can be paired with any supported verifier model. DFlash2 requires the verifier's full vocabulary. For help choosing between them, see the [Decision Guide](decision_guide.md). | |
| ## Adding New Algorithms | |
| See the [Developer Guide](../../developer/add_algorithm.md) for instructions on adding custom algorithms to Speculators. | |