multi-token-prediction
Multi-Token Prediction: Teaching Models to Look Several Words Ahead Lesson
Multi-token prediction trains a language model to predict several upcoming tokens at once instead of just the next one, giving a richer training signal and a built-in path to faster generation.
Qwen3-Next-80B-A3B-Instruct Tool
Alibaba's efficiency-focused open-weight model (80B total / 3B active, 512 experts) with 262K native context to ~1M, built around hybrid attention, high-sparsity MoE, and multi-token prediction; the model card claims roughly 10x inference throughput past 32K context versus a dense 32B baseline.
Ornith 1.0 Tool
An MIT-licensed, Qwen 3.5-derived family published at 9B, 35B and 397B on Hugging Face. Worth pairing with the model's public discussion threads before deploying, where users have been diagnosing apparently missing multi-token-prediction tensors in the shipped checkpoints.