# SmolLM2 1.7B: RAM and VRAM requirements

> SmolLM2 1.7B is a 1.7B SmolLM2 model. At Q4_K_M it needs about **2.2 GB** to run and fits **39 of 39** tracked devices. Minimum to run: Apple M1 (8GB).

Last validated: 2026-06-15. Sources: Ollama, HuggingFace GGUF repos, vendor specs.

## Memory by quantization
| Quant | On disk | To run (4k context) |
| --- | --- | --- |
| Q4_K_M | 1.06 GB | ~2.2 GB |
| Q8_0 | 1.82 GB | ~2.9 GB |

Memory = weights + KV cache + ~0.8 GB runtime overhead, and varies ±15% with context length.

## Will it run on my device?
- **Apple M1 (8GB)** (8 GB): Yes, it runs — room for FP16
- **Generic Android Phone (8GB RAM)** (8 GB): Yes, it runs — room for FP16
- **iPhone 17 Pro** (12 GB): Yes, it runs — room for FP16
- **Nvidia GeForce RTX 4080 (16GB)** (16 GB): Yes, it runs — room for FP16
- **Google Pixel 10 Pro** (16 GB): Yes, it runs — room for FP16
- **Nvidia GeForce RTX 4090 (24GB)** (24 GB): Yes, it runs — room for FP16
- **Apple M4 Pro (48GB)** (48 GB): Yes, it runs — room for FP16
- **Apple M3 Ultra (256GB)** (256 GB): Yes, it runs — room for FP16

Full table of all 39 devices: https://localmodel.run/model/smollm2-1.7b

## How to run
Quickest path: `ollama run smollm2:1.7b`. On Mac, LM Studio (ships MLX) is fastest; on Linux, Ollama for chat or vLLM to serve; on Windows, LM Studio or Ollama.

## Details
- Parameters: 1.7B
- Default context: 8k tokens
- License: Apache-2.0 (commercial use: yes)
- Released: 2024-11
- HuggingFace: 122,071 downloads/mo, 733 likes

## FAQ
### How much VRAM or RAM does SmolLM2 1.7B need?
About 2.2 GB at Q4_K_M (weights 1.06 GB + KV cache + overhead) at a 4k context. Budget ~2.9 GB for Q8_0.
### Can SmolLM2 1.7B run on a laptop?
Yes. SmolLM2 1.7B fits on a 16 GB laptop or Mac at Q4_K_M, and runs on Apple Silicon or a 12 GB+ GPU comfortably.
### Can I use SmolLM2 1.7B commercially?
Yes, Apache-2.0 permits commercial use.

Sources: https://ollama.com/library/smollm2, https://huggingface.co/bartowski/SmolLM2-1.7B-Instruct-GGUF, https://huggingface.co/HuggingFaceTB/SmolLM2-1.7B-Instruct-GGUF, https://huggingface.co/HuggingFaceTB/SmolLM2-1.7B, https://lmarena.ai/leaderboard
More: https://localmodel.run/model/smollm2-1.7b