What are the hardware requirements for OpenELM 270M Instruct With Tokenizer?

OpenELM 270M Instruct With Tokenizer requires approximately 0.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed OpenELM 270M Instruct With Tokenizer and how large is it?

OpenELM 270M Instruct With Tokenizer is developed by bruno3000, a model with 270m parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate OpenELM 270M Instruct With Tokenizer?

OpenELM 270M Instruct With Tokenizer is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

OpenELM 270M Instruct With Tokenizer by bruno3000 — VRAM 0.5GB

Name: OpenELM 270M Instruct With Tokenizer
Author: bruno3000

OpenELM 270M Instruct With Tokenizer is an open-source language model by bruno3000. Features: 270m LLM, VRAM: 0.5GB, Instruction-Based, LLM Explorer Score: 0.13.

Custom code Instruct Openelm Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/bruno3000/OpenELM-270M-Instruct-with-tokenizer

OpenELM 270M Instruct With Tokenizer Parameters and Internals

LLM Name	OpenELM 270M Instruct With Tokenizer
Repository 🤗	https://huggingface.co/bruno3000/OpenELM-270M-Instruct-with-tokenizer
Model Size	270m
Required VRAM	0.5 GB
Updated	2026-07-19
Maintainer	bruno3000
Model Type	openelm
Instruction-Based	Yes
Model Files	0.5 GB
Model Architecture	OpenELMForCausalLM
Transformers Version	4.39.3
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the OpenELM 270M Instruct With Tokenizer capabilities

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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

Best Alternatives to OpenELM 270M Instruct With Tokenizer

Best Alternatives	Context / RAM	Downloads	Likes
OpenELM 270M Instruct	0K / 0.5 GB	1255	145
OpenELM 270M Instruct	0K / 1.1 GB	8	0
...enELM270M DPO FINAL PREFERENCE	0K / 0.5 GB	6	0
M2 Oelm270m	0K / 1.1 GB	9	0
Taiwan ELM 270M Instruct	0K / 1.2 GB	16	1
Mlnp Project Base	0K / 0.5 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than bruno3000/OpenELM-270M-Instruct-with-tokenizer.