OpenELM-1_1B-Instruct
appleapple-amlrtext

OpenELM-1_1B-Instruct

Updated Jun 20, 2026
Parameters
1.1B
Context
8,192
License
apple-amlr
Updated
Jun 20, 2026

Will it run on your hardware?

Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest

Runs on your 24 GB - best at FP16
4 of 4 quantizations fit OpenELM-1_1B-Instruct with real runtime overhead.
Q4_K_M
1 GB
Q5_K_M
1 GB
Q8_0
1 GB
FP16
2 GB
fits tight too big

Need an exact figure for your context length? Use the VRAM calculator.

Run it locally

Copy-paste - running in under a minute

vLLMOpenAI-compatible API
vllm serve apple/OpenELM-1_1B-Instruct

New to this? Start with Ollama · serve to many users with vLLM.

Deep dive

Notes, sources, and the full write-up

OpenELM-1_1B-Instruct is a 1.1B-parameter apple-amlr model from apple. At Q4_K_M it needs roughly 1 GB of VRAM, placing it in the CPU / ≤4 GB hardware tier.

Popularity

OpenELM-1_1B-Instruct has 1,583,500 downloads in the last month on HuggingFace and 75 likes.

Frequently asked

Quick answers to common questions

How much VRAM does OpenELM-1_1B-Instruct need?

OpenELM-1_1B-Instruct with 1.1B parameters needs approximately 1 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.

Is OpenELM-1_1B-Instruct better than other apple models?

OpenELM-1_1B-Instruct has 1.1B parameters with 8,192 context - a strong choice for general use.

What license is OpenELM-1_1B-Instruct under?

OpenELM-1_1B-Instruct is released under the apple-amlr license, making it suitable for most commercial and personal projects.

What hardware runs OpenELM-1_1B-Instruct well?

With 1.1B parameters, OpenELM-1_1B-Instruct 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 OpenELM-1_1B-Instruct?

Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~1 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.

What models compete with OpenELM-1_1B-Instruct?

OpenELM-1_1B-Instruct 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

Configure NEXT_PUBLIC_GISCUS_REPO_ID and NEXT_PUBLIC_GISCUS_CATEGORY_ID at giscus.app to enable.