What are the hardware requirements for OpenELM 270M Instruct?

OpenELM 270M Instruct requires approximately 1.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

OpenELM 270M Instruct is developed by jeggers, 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?

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

OpenELM 270M Instruct by jeggers — VRAM 1.1GB

Name: OpenELM 270M Instruct
Author: jeggers

OpenELM 270M Instruct is an open-source language model by jeggers. Features: 270m LLM, VRAM: 1.1GB, Instruction-Based, LLM Explorer Score: 0.13.

Arxiv:1910.09700 Custom code Instruct Openelm Region:us Safetensors

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

OpenELM 270M Instruct Parameters and Internals

LLM Name	OpenELM 270M Instruct
Repository 🤗	https://huggingface.co/jeggers/OpenELM-270M-Instruct
Model Size	270m
Required VRAM	1.1 GB
Updated	2026-08-01
Maintainer	jeggers
Model Type	openelm
Instruction-Based	Yes
Model Files	1.1 GB
Model Architecture	OpenELMForCausalLM
Transformers Version	4.40.1
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float32

Rank the OpenELM 270M Instruct capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives	Context / RAM	Downloads	Likes
OpenELM 270M Instruct	0K / 0.5 GB	1255	145
...enELM270M DPO FINAL PREFERENCE	0K / 0.5 GB	6	0
M2 Oelm270m	0K / 1.1 GB	9	0
...M 270M Instruct With Tokenizer	0K / 0.5 GB	6	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 jeggers/OpenELM-270M-Instruct.