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Text model · OpenELM

OP Apple OpenELM 1.1B: RAM and VRAM requirements

Apple OpenELM 1.1B needs about 1.7 GB to run at Q4_K_M (the Q4_K_M GGUF file is ~0.63 GB to download; KV cache and overhead add the rest), or about 2.2 GB at Q8_0. The lightest hardware that runs it is Apple M1 (8GB).

OpenELM family · 1.1B params · released Apr 2024.

Shopping for hardware? See what runs Apple OpenELM 1.1B →

License apple-amlr · Non-commercial ↓ 4.5K/mo ♥ 34 on HuggingFace
Q4_K_M GGUF
0.63 GB
Q8_0 GGUF
1.07 GB
Memory @ Q4 (4k)
~1.7 GB
Context
2 k

Q4_K_M and Q8_0 are GGUF download (file) sizes. Memory @ Q4 includes the KV cache and overhead, so it runs larger than the file on disk.

Will it run on your device?

Apple OpenELM 1.1B runs on 40 of 40 tracked devices at Q4_K_M.

40 run well 0 tight fit 0 too small
Fit check Q4_K_M
Yes, it runs fast
needs 1.5 GB usable 10.5 GB
See the full breakdown

Memory breakdown

Weights (Q4_K_M)0.63 GB
+
KV cache (4k)0.3 GB
+
Overhead0.8 GB
=
Total1.7 GB

How context length changes it

4k context ~1.7 GB 32k context ~3.4 GB 128k context ~9.5 GB

Apple OpenELM 1.1B is small enough that the context window is the thing to size for: 128k needs ~9.5 GB versus ~1.7 GB at 4k, so pick the window you actually use.

Speed drops too: every token re-reads the KV cache, so at 128k context Apple OpenELM 1.1B generates at roughly ~7% of its short-context speed. How this is estimated.

Quantization sizes

GGUF quantson disk
Quantization Size on disk
Q2_K 0.5 GB est
Q3_K_M 0.5 GB est
Q4_K_M (default) 0.63 GB
Q5_K_M 0.8 GB est
Q6_K 0.9 GB est
Q8_0 1.07 GB
FP16 2.16 GB

Lower quant = smaller and faster, slightly lower quality. Q4_K_M is the common default.

Run it

llama.cpp
$ llama-cli -hf mradermacher/OpenELM-1_1B-GGUF:Q4_K_M
LM Studio
$ lms get mradermacher/OpenELM-1_1B-GGUF

Which devices can run Apple OpenELM 1.1B?

Apple Silicon Macs

RAM-only laptops

iPhone & iPad

Android

NVIDIA GPUs

AMD GPUs

Same job, different size

Pick by what fits your memory: step down to free up VRAM, or step up if you have headroom.

Next size down Gemma 3 1B 1B Next size up LFM2 1.2B 1.17B

Similar models

Head-to-head

FAQ

How much VRAM or RAM does Apple OpenELM 1.1B need?

At Q4_K_M, Apple OpenELM 1.1B needs about 1.7 GB (weights ~0.63 GB + KV cache + overhead) at a 4k context. At Q8_0 budget ~2.2 GB.

What is the Q4_K_M GGUF file size of Apple OpenELM 1.1B?

The Q4_K_M GGUF file is about 0.63 GB to download, and the Q8_0 GGUF is about 1.07 GB. That is the weights file on disk; to run it you also need room for the KV cache and overhead, so budget ~1.7 GB of memory at Q4_K_M.

Can Apple OpenELM 1.1B run on a laptop?

Yes, Apple OpenELM 1.1B fits on a 16 GB machine at Q4_K_M and runs on Apple Silicon or a 12 GB+ GPU comfortably.

Can I use Apple OpenELM 1.1B commercially?

No. apple-amlr license; non-commercial / research use only.

Understand the numbers

Short guides to the ideas behind Apple OpenELM 1.1B's memory and quant figures.

Context 2,048 tokens confirmed from config.json max_context_length. Apple AMLR (Apple Machine Learning Research) license is research-only and prohibits commercial use. Layer-wise scaling transformer architecture, trained on ~1.8T tokens. No official Ollama library tag. Community GGUF from mradermacher; LiteLLMs/OpenELM-1_1B-GGUF also exists with same Q4_K_M size (673 MB). Paper published April 2024.

Sources

Last validated 2026-08-03. Memory figures are estimates. See methodology.