SmolLM2-135M
Will it run on your hardware?
Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest
Need an exact figure for your context length? Use the VRAM calculator.
Run it locally
Copy-paste - running in under a minute
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Deep dive
Notes, sources, and the full write-up
Frequently asked
Quick answers to common questions
How much VRAM does SmolLM2-135M need?
SmolLM2-135M with 0.1B parameters needs approximately 0 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.
Is SmolLM2-135M better than other HuggingFaceTB models?
SmolLM2-135M has 0.1B parameters with 8,192 context - a strong choice for general use.
What license is SmolLM2-135M under?
SmolLM2-135M is released under the apache-2.0 license, making it suitable for most commercial and personal projects.
What hardware runs SmolLM2-135M well?
With 0.1B parameters, SmolLM2-135M requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.
What is the best quantization for SmolLM2-135M?
Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~0 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.
What models compete with SmolLM2-135M?
SmolLM2-135M competes with other models in its class. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.
Nearby options
Similar models and compatible hardware by spec
Comments coming soon
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