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Bastion-AI/SmolLM3-3B-GGUF
SmolLM3-3B-GGUF is a machine learning model from Bastion-AI. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Downloads · 30 days
319
9% of all-time downloads
All-time downloads
3.5K
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.gguf27.8 GB · 100%
From the Hugging Face model README
This repository provides quantized GGUF versions of the original model:
All quantizations are derived from this base model. Please refer to the original model card for architecture, training details, and upstream updates.
This repository contains multiple quantized GGUF versions of the SmolLM3-3B model, converted for efficient inference on CPU and mobile devices.
BastionAI empowers users with advanced AI capabilities that run entirely on your device. Learn more about our privacy-first, local AI solutions at bastionai.github.io.
You can use these GGUF files with:
Example command:
./main -m SmolLM3-3B.Q4_K_M.gguf -p "Explain gravity in simple terms."
| Quant Type | Disk Size | Download Link | Details |
|---|---|---|---|
| Q2_K | 1.2G | Download | Standard 2-bit quant |
| Q3_K | 1.5G | Download | Standard 3-bit quant |
| Q3_K_S | 1.3G | Download | Small 3-bit quant |
| Q3_K_M | 1.5G | Download | Medium 3-bit quant |
| Q4_0 | 1.7G | Download | Standard 4-bit quant |
| Q4_K | 1.8G | Download | Standard 4-bit quant |
| Q4_K_S | 1.7G | Download | Small 4-bit quant |
| Q4_K_M | 1.8G | Download | Medium 4-bit quant |
| Q5_0 | 2.0G | Download | Standard 5-bit quant |
| Q5_K | 2.1G | Download | Standard 5-bit quant |
| Q5_K_S | 2.0G | Download | Small 5-bit quant |
| Q5_K_M | 2.1G | Download | Medium 5-bit quant |
| Q6_K | 2.4G | Download | Standard 6-bit quant |
| Q8_0 | 3.0G | Download | Standard 8-bit quant |
BastionAI empowers users with advanced AI capabilities that run entirely on your device. Experience the full potential of AI conversation, document processing, and voice interaction without compromising your privacy or security.
This model is distributed under the Apache 2.0 license, as per the original HuggingFaceTB/SmolLM3-3B.
If you use this model, please cite the original SmolLM3-3B and BastionAI as appropriate.
@misc{smollm3,
title={SmolLM3-3B},
author={HuggingFaceTB},
year={2024},
url={https://huggingface.co/HuggingFaceTB/SmolLM3-3B}
}