What are the hardware requirements for Olmo 3 7B Instruct 8bit?

Olmo 3 7B Instruct 8bit requires approximately 7.7 GB of VRAM and supports a context window of 64K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Olmo 3 7B Instruct 8bit and how large is it?

Olmo 3 7B Instruct 8bit is developed by mlx-community, a model with 7b 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 Olmo 3 7B Instruct 8bit?

Olmo 3 7B Instruct 8bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Olmo 3 7B Instruct 8bit by mlx-community — VRAM 7.7GB, 64K context

Name: Olmo 3 7B Instruct 8bit
Author: mlx-community

Olmo 3 7B Instruct 8bit is an open-source language model by mlx-community. Features: 7b LLM, VRAM: 7.7GB, Context: 64K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.21.

8-bit 8bit Base model:allenai/olmo-3-7b-i... Base model:quantized:allenai/o... Conversational En Instruct Mlx Olmo3 Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/Olmo-3-7B-Instruct-8bit

Olmo 3 7B Instruct 8bit Parameters and Internals

LLM Name	Olmo 3 7B Instruct 8bit
Repository 🤗	https://huggingface.co/mlx-community/Olmo-3-7B-Instruct-8bit
Base Model(s)	Olmo 3 7B Instruct allenai/Olmo-3-7B-Instruct
Model Size	7b
Required VRAM	7.7 GB
Updated	2026-07-06
Maintainer	mlx-community
Model Type	olmo3
Instruction-Based	Yes
Model Files	5.3 GB: 1-of-2 2.4 GB: 2-of-2
Supported Languages	en
Quantization Type	8bit
Model Architecture	Olmo3ForCausalLM
License	apache-2.0
Context Length	65536
Model Max Length	65536
Transformers Version	4.57.1
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|pad\|>
Vocabulary Size	100278

Rank the Olmo 3 7B Instruct 8bit 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 Olmo 3 7B Instruct 8bit

Best Alternatives	Context / RAM	Downloads	Likes
Olmo 3 7B Instruct 4bit	64K / 4.1 GB	39	1
Olmo 3 7B Instruct	64K / 14.6 GB	450053	141
Olmo 3 7B Instruct SFT	64K / 14.6 GB	299357	6
Olmo 3 7B Instruct DPO	64K / 14.6 GB	9041	3
Olmo 3 7B Instruct	64K / 14.6 GB	794	0
...o 3 7B Instruct Abliterated V1	64K / 14.6 GB	11	2

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Olmo-3-7B-Instruct-8bit.