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3B parameters
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Reviewed May 2026

OpenELM 3B Instruct

OpenELM-3B-Instruct is Apple's 3-billion-parameter instruct model using a layer-wise scaled transformer with varying FFN multipliers and KV-head counts across 36 layers. It is released under the Apple Sample Code License (apple-amlr), which restricts use to research and evaluation.

License: apple-amlr·Context: 2,048 tokens
BLK · VERDICT

Our verdict

OP · Fredoline Eruo|VERIFIED MAY 29, 2026
unrated

Interesting research artifact, not a production model. Read the paper, study the layer-wise scaling, then deploy Qwen3-1.7B or Gemma-2-2B in production.

Overview

OpenELM-3B-Instruct is Apple's 3-billion-parameter instruct model using a layer-wise scaled transformer with varying FFN multipliers and KV-head counts across 36 layers. It is released under the Apple Sample Code License (apple-amlr), which restricts use to research and evaluation.

Strengths

  • Novel layer-wise scaling architecture is interesting research material
  • Released by Apple with full training and inference code
  • BF16 weights are stable and easy to load
  • Demonstrates Apple's on-device AI direction

Weaknesses

  • Apple Sample Code License is research-only — NOT for commercial deployment
  • 2048-token context is severely limiting
  • Quality lags Qwen3-1.7B despite being nearly 2x the size
  • Essentially zero community adoption — Apple's own iPhone models are not derived from this

Quantization variants

Each quantization trades model quality for file size and VRAM. Q4_K_M is the most popular starting point.

QuantizationFile sizeVRAM required
Q4_K_M1.7 GB3 GB

Get the model

HuggingFace

Original weights

huggingface.co/apple/OpenELM-3B-Instruct

Source repository — direct quantization required.

Hardware that runs this

Cards with enough VRAM for at least one quantization of OpenELM 3B Instruct.

Compare alternatives

Models worth comparing

Same parameter band, plus what's one tier above and below — so you can decide what actually fits your hardware.

Frequently asked

What's the minimum VRAM to run OpenELM 3B Instruct?

3GB of VRAM is enough to run OpenELM 3B Instruct at the Q4_K_M quantization (file size 1.7 GB). Higher-quality quantizations need more.

Can I use OpenELM 3B Instruct commercially?

OpenELM 3B Instruct is released under the apple-amlr, which has restrictions for commercial use. Review the license terms before using it in a product.

What's the context length of OpenELM 3B Instruct?

OpenELM 3B Instruct supports a context window of 2,048 tokens (about 2K).

Source: huggingface.co/apple/OpenELM-3B-Instruct

Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify model claims.

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Before you buy

Verify OpenELM 3B Instruct runs on your specific hardware before committing money.