apple/OpenELM-1_1B-Instruct
text-generation model by apple
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Model card & documentation
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Sachin Mehta, Mohammad Hossein Sekhavat, Qingqing Cao, Maxwell Horton, Yanzi Jin, Chenfan Sun, Iman Mirzadeh, Mahyar Najibi, Dmitry Belenko, Peter Zatloukal, Mohammad Rastegari We introduce OpenELM, a family of Open Efficient Language Models. OpenELM uses a layer-wise scaling strategy to efficiently allocate parameters within each layer of the transformer model, leading to enhanced accuracy. We pretrained OpenELM models using the CoreNet library. We release both pretrained and instruction tuned models with 270M, 450M, 1.1B and 3B parameters. We release the complete framework, encompassing data preparation, training, fine-tuning, and evaluation procedures, alongside multiple pre-trained checkpoints and training logs, to facilitate open research. Our pre-training dataset contains RefinedWeb, deduplicated PILE, a subset of RedPajama, and a subset of Dolma v1.6, totaling approximately 1.8 trillion tokens. Please check license agreements and terms of these datasets before using them. We have provided an example function to generate output from OpenELM models loaded via HuggingFace…
Read the full model card ↗ · Preview checked 2026-10-30T03:10:24.014Z
Inside the original model card — Document outline
- OpenELM
- Usage
- Main Results
- Zero-Shot
- LLM360
- OpenLLM Leaderboard
- Evaluation
- Setup
- Evaluate OpenELM
- Bias, Risks, and Limitations
- Citation
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Documentation belongs to its respective authors. Reported project/model license: apple-amlr. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
apple/OpenELM-1_1B-Instruct is a text-generation model repository published by apple on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- transformers
- Recent downloads (30 days)
- 858,368
- Cumulative likes
- 77
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 1,079,891,456
- Architecture
- OpenELMForCausalLM
- License
- apple-amlr
- Access
- Not gated by Hugging Face
- Created
- 2024-04-12T21:52:12.000Z
- Last modified
- 2025-02-28T18:31:24.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-05T06:39:49.935Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.