- 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
Use cases
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