SmolLM

In the model registry

Timeline

1. Oct 11, 2026 · Open-source release · 1 source
   Converting dense models into Mixture-of-Experts
   For the past few weeks I've been trying out converting existing dense models to sparse Mixture-of-Experts models, with no pretraining from scratch.
2. Oct 10, 2026 · Research paper · 1 source
   Linear-Time Non-Local Codec Placement for Machine Learning Model Compression
   On-device inference imposes constraints on model storage and operand traffic and thus benefits from compressed operand representations, which mandate the use of encoding and decoding operators.
3. Oct 7, 2026 · Research paper · 1 source
   SemanticFold: Latent Sequence Compression SeparatesLanguage Modeling, Decodability, and Reasoning
   We introduce SemanticFold, a compression scheme that folds prefix hidden states at learned boundaries, and evaluate it across five model scales: Qwen3-1.7B, Qwen3-8B, SmolLM2-1.7B, Pythia-1.4B, and Pythia-6.9B.
4. Oct 7, 2026 · Research paper · 1 source
   BoT-GRPO: Efficient Process-Reward RL for Reasoning via Bag-of-Token Aggregation
   We propose Bag-of-Tokens Group Relative Policy Optimization (BoT-GRPO), which extends GRPO to token-level reward models through a length-invariant "bag of tokens" aggregation: it collects all token-level rewards across rollouts, weights each by the inverse of its source sequence length, and computes per-token advantages relative to weighted group statistics.
5. Oct 7, 2026 · Research paper · 1 source
   Evaluating Trajectory Features for Routing Final-Layer Attention
   Attention routing requires a signal that predicts the value of attention on the current prefix.

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