dmtd-multi-token - Direct Multi-Token Decoding
Generate multiple tokens simultaneously by having late transformer layers directly predict multiple outputs after early layer processing.
Tags
Updated: 2026-09-21Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Configure multi-token output heads
- Fine-tune multi-token output heads
- Generate text using multi-token decoding
- Benchmark multi-token decoding speedup
Inputs
- Pre-trained causal language model
- Training dataset
- Text prompts
- Tokenizer
Outputs
- Generated text sequence
- Fine-tuned decoder model
- Decoding speedup metrics
Requirements
- PyTorch library
- Hugging Face Transformers library
- Model with specialized transformer layers