SmolLM2 360M Instruct

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released October 20248K context≈ 6,144 words0.4B params

SmolLM2 360M Instruct punches well above its weight for a sub-half-billion parameter model, handling straightforward instruction-following, summarization, and basic Q&A with surprising coherence. Its tiny footprint makes it fast and cheap to run on modest hardware, even CPU-only setups. The trade-off is real though — complex reasoning, multi-step tasks, or nuanced generation will quickly expose its capacity limits.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Multilingual

Basic

Instruction Following

SmolLM2 360M Instruct

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released October 20248K context≈ 6,144 words0.4B params

SmolLM2 360M Instruct punches well above its weight for a sub-half-billion parameter model, handling straightforward instruction-following, summarization, and basic Q&A with surprising coherence. Its tiny footprint makes it fast and cheap to run on modest hardware, even CPU-only setups. The trade-off is real though — complex reasoning, multi-step tasks, or nuanced generation will quickly expose its capacity limits.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Multilingual

Basic

Instruction Following

Glossary

CoherenceThe quality of maintaining consistent meaning and logical flow across multiple sentences or exchanges in a conversation.Complex ReasoningThe ability to work through multi-step problems, analyze nuanced information, and draw logical conclusions.Instruction-FollowingThe ability of a model to understand and execute specific tasks or commands given in natural language prompts.Multi-Step TasksProblems or workflows that require a model to perform multiple sequential operations or reasoning steps to reach a final answer.Parameter ModelA neural network described by the number of learnable weights it contains; more parameters generally mean greater capacity to learn complex patterns, but also require more computational resources.ReasoningThe model's ability to work through multi-step logical problems and provide justified answers rather than just pattern-matching.

SmolLM2 360M Instruct

Capabilities

SmolLM2 360M Instruct

Capabilities

Benchmark Scores

Use Case Fit

Glossary