What are the hardware requirements for OLMo 7B Instruct Hf?

OLMo 7B Instruct Hf requires approximately 27.6 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed OLMo 7B Instruct Hf and how large is it?

OLMo 7B Instruct Hf is developed by allenai, 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 7B Instruct Hf?

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

OLMo 7B Instruct Hf by allenai — VRAM 27.6GB, 2K context

Name: OLMo 7B Instruct Hf
Author: allenai

OLMo 7B Instruct Hf is an open-source language model by allenai. Features: 7b LLM, VRAM: 27.6GB, Context: 2K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.17.

Arxiv:2402.00838 Conversational Dataset:allenai/dolma Dataset:allenai/tulu-v2-sft-mi... Dataset:allenai/ultrafeedback ... En Endpoints compatible Instruct Olmo Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/allenai/OLMo-7B-Instruct-hf

OLMo 7B Instruct Hf Parameters and Internals

Model Type

Transformer style autoregressive language model

Use Cases

Areas:

research, developer tools

Applications:

question answering

Primary Use Cases:

understanding safety properties of LLMs

Limitations:

May produce harmful and sensitive content, Potential biases and privacy issues

Considerations:

Implement safeguards for biases, privacy, and other potential harms.

Additional Notes

Direct use with HuggingFace Transformers v4.40+

Supported Languages

English (NLP)

Training Details

Data Sources:

Dolma, Tulu 2 SFT Mix, UltraFeedback

Methodology:

SFT + DPO

Context Length:

2048

Responsible Ai Considerations

Mitigation Strategies:

Model does not include a specific safety filter. Developers advised to exercise caution.

LLM Name	OLMo 7B Instruct Hf
Repository 🤗	https://huggingface.co/allenai/OLMo-7B-Instruct-hf
Model Size	7b
Required VRAM	27.6 GB
Updated	2026-07-09
Maintainer	allenai
Model Type	olmo
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-6 5.0 GB: 2-of-6 4.9 GB: 3-of-6 4.9 GB: 4-of-6 4.9 GB: 5-of-6 3.0 GB: 6-of-6 4.9 GB: 1-of-6 5.0 GB: 2-of-6 4.9 GB: 3-of-6 4.9 GB: 4-of-6 4.9 GB: 5-of-6 3.0 GB: 6-of-6
Supported Languages	en
Model Architecture	OlmoForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.40.2
Tokenizer Class	GPTNeoXTokenizer
Padding Token	<\|padding\|>
Vocabulary Size	50304
Torch Data Type	float32

Rank the OLMo 7B Instruct Hf 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 7B Instruct Hf

Best Alternatives	Context / RAM	Downloads	Likes
OLMo 7B 0724 Instruct Hf	4K / 13.8 GB	1010	7
OLMo 7B Instruct Hf	2K / 27.6 GB	13	3
OLMo 7B 0424 Instruct Hf	2K / 13.8 GB	88	1
OLMo 7B Instruct Hf	2K / 27.6 GB	8	3

Note: green Score (e.g. "73.2") means that the model is better than allenai/OLMo-7B-Instruct-hf.