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OpenELM 270M Instruct by apple

By apple · 1255 downloads
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OpenELM 270M Instruct is an open-source language model by apple. Features: 270m LLM, VRAM: 0.5GB, License: apple-amlr, Instruction-Based, LLM Explorer Score: 0.14.

  Arxiv:2404.14619   Custom code   Instruct   Openelm   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/apple/OpenELM-270M-Instruct 

OpenELM 270M Instruct Parameters and Internals

Model Type 
Transformer-based, Efficient Language Model
Use Cases 
Limitations:
Models may produce output that is inaccurate, biased, or objectionable.
Considerations:
Users must undertake thorough safety testing and implement filtering mechanisms.
Training Details 
Data Sources:
RefinedWeb, deduplicated PILE, subset of RedPajama, subset of Dolma v1.6
Data Volume:
1.8 trillion tokens
Methodology:
Layer-wise scaling strategy
Model Architecture:
Transformer
Responsible Ai Considerations 
Mitigation Strategies:
Electronic safeguards and user attributions are necessary.
Input Output 
Input Format:
Tokenized text inputs as prompts.
Accepted Modalities:
text
Output Format:
Generated text outputs.
Performance Tips:
Utilize speculative generation techniques for faster inference.
LLM NameOpenELM 270M Instruct
Repository 🤗https://huggingface.co/apple/OpenELM-270M-Instruct 
Model Size270m
Required VRAM0.5 GB
Updated2026-08-08
Maintainerapple
Model Typeopenelm
Instruction-BasedYes
Model Files  0.5 GB
Model ArchitectureOpenELMForCausalLM
Licenseapple-amlr
Transformers Version4.39.3
Vocabulary Size32000
Torch Data Typebfloat16

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