Launch SmolLM3-3B Uncensored Edition For Beginners

The fastest way to get this model running locally is via Optional Features.

Use the instructions provided below to complete the setup.

The framework seamlessly downloads the massive neural network binaries.

Without any user input, the software calibrates parameters for optimal hardware usage.

🔍 Hash-sum: 09f7cdf9b026b74c30978e6694b2cba0 | 🕓 Last update: 2026-06-26 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: minimum 16 GB for stable 8B model loading Disk Space: 80 GB NVMe SSD required for fast model weights loading Graphics: TensorRT-LLM / vLLM inference engine compatible chip

SmolLM3-3B is a compact language model designed for efficient inference on consumer hardware. It leverages a refined architecture that balances parameter count and context length, delivering strong performance in both reasoning and generation tasks. The model supports up to 8K tokens of context, enabling it to handle longer dialogues and documents without truncation. Benchmarks show it outperforms similarly sized models in multilingual understanding and code generation. Its training pipeline incorporates extensive data filtering and instruction tuning, resulting in coherent and factual outputs. The compact footprint makes it ideal for deployment in edge devices and research prototypes.

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