apple / text-generation updated 1 year ago

OpenELM-1_1B-Instruct

Name: OpenELM-1_1B-Instruct
Author: apple

Sachin Mehta, Mohammad Hossein Sekhavat, Qingqing Cao, Maxwell Horton, Yanzi Jin, Chenfan Sun, Iman Mirzadeh, Mahyar Najibi, Dmitry Belenko, Peter Zatloukal, Mohammad Rastegari

Params

1.1 B

Context

—

Downloads 30d

1.5 M

Likes

Licence: apple-amlr Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 10 days

1.6 M1.5 M

Jul 28Jul 31Aug 3Aug 6

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
model.safetensors	bf16	2.2 GB	3.0 GB	✅ Runs comfortably

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Run it

copy-paste, exact tags checked against the Hub

~ · curl · api/v1

$ curl -s https://aimodelscomparison.com/api/v1/models/openelm-1-1b-instruct
{
  "hf_id": "apple/OpenELM-1_1B-Instruct",
  "params_b": 1.08,
  "context_length": null,
  "license": { "id": "apple-amlr", "commercial": "unknown" },
  "downloads_30d": 1511484,
  "vram_estimates": [
    { "quant": "bf16", "gb": 3.0 }
  ],
  "updated_at": "2026-07-28T18:03:04Z"
}

est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Architecture: OpenELMForCausalLM
Parameters: 1.1 B
Tensor type: BF16
Vocabulary: 32,000
Licence: apple-amlr
First seen on the Hub: 2024-04-12
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Compare with

Qwen3-0.6B 29.7 M Qwen2.5-1.5B-Instruct 14.0 M Llama-3.2-1B-Instruct 10.4 M Qwen3-1.7B 7.8 M Qwen2.5-0.5B-Instruct 6.6 M gemma-3-1b-it 4.7 M

Appears in

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