S

SmolLM2 135M

Open weights
Open LLM HuggingFaceTB Docs ↗
Model spec
Provider
HuggingFaceTB
Context window
-
Max output
-
Input price
-
Output price
-
License
See model card
Open weights
Yes

SmolLM2 135M is a compact, open-weight language model distributed through Hugging Face. As part of the open LLM category, it provides researchers and developers with a transparent alternative to proprietary models, though with more limited capacity than larger foundation models. The model’s specifications for context window and output length are not provided, which developers should note when considering its use. This model would appeal to those needing a lightweight, customizable text processor for experimentation or applications where larger models would be impractical. Its open-weight nature makes it particularly suitable for academic work or projects where model transparency is valued over raw performance.

Modality

Text

Use cases

Text generation for small-scale applicationsEducational or research projects exploring language model behaviorPrototyping lightweight AI-driven text applicationsFine-tuning experiments for domain-specific tasksNatural language understanding in resource-constrained environments

Pros & cons

Pros

  • Open-weight design enables transparency and customization
  • Smaller size may offer faster inference than larger models
  • Available through Hugging Face for easy accessibility

Cons

  • Lacks specifications about context window or output length limitations
  • Smaller parameter count may limit performance on complex tasks
  • No information provided about computational requirements or hardware needs

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Read the official docs

SmolLM2 135M

View documentation