S

SmolLM2 135M Instruct

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 Instruct is a compact, open-weight language model published on Hugging Face. As part of the open LLM category, it provides a basic but customizable option for text generation tasks. The model’s specifications suggest it may be particularly suitable for developers needing a lightweight, modifiable alternative to larger proprietary models. While details like context window and output limits aren’t specified here, its open weights and Hugging Face integration make it a practical choice for experimentation and applications where model transparency is prioritized over cutting-edge performance.

Modality

Text

Use cases

Instruction-following text generationBasic conversational AI applicationsEducational or explanatory text synthesisLightweight chatbot interactionsPrototyping language model applications

Pros & cons

Pros

  • Open-weight license enables customization and transparency
  • Smaller size (135M parameters) may allow for faster inference than larger models
  • Part of the Hugging Face ecosystem, enabling easy integration

Cons

  • Lack of specified context window may limit predictability for some applications
  • No performance benchmarks or comparisons provided
  • Smaller scale may limit capabilities compared to larger models

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Read the official docs

SmolLM2 135M Instruct

View documentation