SmolLM2-1.7-Roleplay
Overview
SmolLM2-1.7-Roleplay is a lightweight language model designed for engaging roleplay interactions and instruction following. It is optimized for resource-constrained environments, making it suitable for mobile devices and older hardware.
Training Data
The model was trained on a combination of roleplay datasets and instruction-following datasets. The specific datasets used are not publicly disclosed.
Model Architecture
The model is based on the SmolLM2-1.7 architecture, a compact language model designed for efficiency and performance.
Intended Use
SmolLM2-1.7-Roleplay is intended for:
- Roleplay: Engaging in immersive roleplay scenarios with the model.
- Instruction Following: Executing tasks and generating text based on user prompts.
Limitations and Biases
- Limited Knowledge: As a small language model, it may have limitations in factual knowledge and complex reasoning tasks.
- Potential Biases: The model may exhibit biases present in the training data. It is important to be aware of these biases and interpret its outputs critically.
- Downloads last month
- 14
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
HF Inference API was unable to determine this model's library.