# LFM2 700M: RAM and VRAM requirements

> LFM2 700M is a 742M LFM model. At Q4_K_M it needs about **1.9 GB** to run and fits **40 of 40** tracked devices. Minimum to run: Apple M1 (8GB).

Last validated: 2026-08-03. Sources: Ollama, HuggingFace GGUF repos, vendor specs.

## Memory by quantization
| Quant | On disk | To run (4k context) |
| --- | --- | --- |
| Q4_K_M | 0.92 GB | ~1.9 GB |
| Q8_0 | 0.74 GB | ~1.7 GB |
| FP16 | 1.49 GB | ~2.5 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)
- **iPhone 17** (8 GB): Yes, it runs (room for FP16)
- **iPhone 17 Pro** (12 GB): Yes, it runs (room for FP16)
- **16GB RAM Laptop (CPU/iGPU only)** (16 GB): Yes, it runs (room for FP16)
- **Google Pixel 10 Pro** (16 GB): Yes, it runs (room for FP16)
- **Nvidia GeForce RTX 3090 (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 40 devices: https://localmodel.run/model/lfm2-700m

## How to run
Use LM Studio (Mac/Windows) or Ollama / vLLM (Linux).

## Details
- Parameters: 742M
- Default context: 128k tokens
- License: LFM Open License v1.0 (commercial use: conditional)
- Released: 2025-11
- HuggingFace: 6,292 downloads/mo, 115 likes

## FAQ
### How much VRAM or RAM does LFM2 700M need?
About 1.9 GB at Q4_K_M (weights 0.92 GB + KV cache + overhead) at a 4k context. Budget ~1.7 GB for Q8_0.
### Can LFM2 700M run on a laptop?
Yes. LFM2 700M 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 LFM2 700M commercially?
Conditionally: LFM Open License: free under $10M revenue; larger companies need a commercial license..

Sources: https://huggingface.co/LiquidAI/LFM2-700M, https://huggingface.co/LiquidAI/LFM2-700M-GGUF/tree/main, https://www.liquid.ai/blog/liquid-foundation-models-v2-our-second-series-of-generative-ai-models, https://arxiv.org/abs/2511.23404
More: https://localmodel.run/model/lfm2-700m