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OpenELM 450M by apple

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OpenELM 450M is an open-source language model by apple. Features: 450m LLM, VRAM: 1.8GB, License: apple-amlr, LLM Explorer Score: 0.14.

  Arxiv:2404.14619   Custom code   Openelm   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/apple/OpenELM-450M 

OpenELM 450M Benchmarks

LLME Score: 0.13502
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OpenELM 450M (apple/OpenELM-450M)
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OpenELM 450M Parameters and Internals

Model Type 
Language Model
Additional Notes 
The models were trained on public datasets with no safety guarantees, necessitating user-end safety testing and filtering.
Training Details 
Data Sources:
RefinedWeb, deduplicated PILE, subset of RedPajama, subset of Dolma v1.6
Data Volume:
approximately 1.8 trillion tokens
Methodology:
layer-wise scaling strategy
LLM NameOpenELM 450M
Repository 🤗https://huggingface.co/apple/OpenELM-450M 
Model Size450m
Required VRAM1.8 GB
Updated2026-05-15
Maintainerapple
Model Typeopenelm
Model Files  1.8 GB
Model ArchitectureOpenELMForCausalLM
Licenseapple-amlr
Transformers Version4.39.3
Vocabulary Size32000
Torch Data Typefloat32

Best Alternatives to OpenELM 450M

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Context / RAM
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OpenELM 450M Instruct0K / 0.9 GB107551
...Databaes SFT DPO 4bitquantized0K / 0.3 GB90
...450M Instruct Databaes SFT DPO0K / 0.9 GB50
DPO Reference Model0K / 1.8 GB80
Note: green Score (e.g. "73.2") means that the model is better than apple/OpenELM-450M.

Rank the OpenELM 450M Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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