What are the hardware requirements for OLMo 1B Hf?

OLMo 1B Hf requires approximately 4.7 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 1B Hf and how large is it?

OLMo 1B Hf is developed by allenai, a model with 1b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does OLMo 1B Hf perform on standard benchmarks?

OLMo 1B Hf has the following published scores: MMLU 26.31. Compare against reference models on this page or on the LLM Explorer leaderboards.

OLMo 1B Hf by allenai — VRAM 4.7GB, 2K context

Name: OLMo 1B Hf
Author: allenai

OLMo 1B Hf is an open-source language model by allenai. Features: 1b LLM, VRAM: 4.7GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.24, Arc: 34.6, HellaSwag: 63.6, MMLU: 26.3, GSM8K: 1.9.

Arxiv:2302.13971 Arxiv:2402.00838 Dataset:allenai/dolma En Endpoints compatible Olmo Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/allenai/OLMo-1B-hf

OLMo 1B Hf Benchmarks

ARC: 34.56 vs 96.7 (so35)^-64.3%

HellaSwag: 63.6 vs 95.3 (gpt4)^-33.3%

MMLU: 26.31 vs 88.3 (so35)^-70.2%

GSM8K: 1.9 vs 96.4 (so35)^-98%

LLME Score: 0.23863

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

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OLMo 1B Hf Parameters and Internals

Model Type

Autoregressive Language Model, Transformer

Use Cases

Areas:

Research, Commercial Applications

Applications:

Language Modeling

Primary Use Cases:

Text Generation

Limitations:

Prone to generate false or harmful content

Considerations:

Consider risks of applications due to potential bias

Additional Notes

The model supports quantization for faster inference.

Supported Languages

en (English)

Training Details

Data Sources:

Dolma

Data Volume:

Trained on 3 trillion tokens

Context Length:

2048

Model Architecture:

Transformer style

Input Output

Accepted Modalities:

text

LLM Name	OLMo 1B Hf
Repository 🤗	https://huggingface.co/allenai/OLMo-1B-hf
Model Size	1b
Required VRAM	4.7 GB
Updated	2026-05-14
Maintainer	allenai
Model Type	olmo
Model Files	4.7 GB
Supported Languages	en
Model Architecture	OlmoForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.40.0
Tokenizer Class	GPTNeoXTokenizer
Padding Token	<\|padding\|>
Vocabulary Size	50304
Torch Data Type	float32

Best Alternatives to OLMo 1B Hf

Best Alternatives	Context / RAM	Downloads	Likes
OLMo 1B 0724 Hf	4K / 5.1 GB	5517	24
OLMo 1B Base Shakespeare	4K / 5.1 GB	6	0
AMD OLMo 1B	2K / 4.7 GB	338	25
AMD OLMo 1B SFT DPO	2K / 4.7 GB	300	23
AMD OLMo 1B SFT	2K / 4.7 GB	26	21
Olmo Oasst 1e	2K / 4.7 GB	6	0
Olmo Oasst 2e	2K / 4.7 GB	5	0

Rank the OLMo 1B Hf 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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Release v20260328a

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OLMo 1B Hf by allenai

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OLMo 1B Hf Benchmarks

OLMo 1B Hf Parameters and Internals

Best Alternatives to OLMo 1B Hf

Rank the OLMo 1B Hf Capabilities

What open-source LLMs or SLMs are you in search of? 53999 in total.