What are the hardware requirements for OLMoE 1B 7B 0924 SFT?

OLMoE 1B 7B 0924 SFT requires approximately 13.8 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed OLMoE 1B 7B 0924 SFT and how large is it?

OLMoE 1B 7B 0924 SFT 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.

Where can I download or evaluate OLMoE 1B 7B 0924 SFT?

OLMoE 1B 7B 0924 SFT is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

OLMoE 1B 7B 0924 SFT by allenai — VRAM 13.8GB, 4K context

Name: OLMoE 1B 7B 0924 SFT
Author: allenai

OLMoE 1B 7B 0924 SFT is an open-source language model by allenai. Features: 1b LLM, VRAM: 13.8GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.18.

Arxiv:2409.02060 Base model:allenai/olmoe-1b-7b... Base model:finetune:allenai/ol... Co2 eq emissions Dataset:allenai/tulu-v3.1-mix-... En Moe Olmo Olmoe Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/allenai/OLMoE-1B-7B-0924-SFT

OLMoE 1B 7B 0924 SFT Parameters and Internals

Model Type

moe, olmo, olmoe

Additional Notes

This model is an intermediate training checkpoint during post-training, after the Supervised Fine-Tuning (SFT) step. Recommended for best performance: Use the OLMoE-Instruct version.

Supported Languages

en (primary)

Training Details

Data Sources:

allenai/tulu-v3.1-mix-preview-4096-OLMoE

Methodology:

Intermediate training checkpoint post-Supervised Fine-Tuning (SFT), Direct Preference Optimization/Kahneman-Tversky Optimization (DPO/KTO)

Model Architecture:

Mixture-of-Experts

LLM Name	OLMoE 1B 7B 0924 SFT
Repository 🤗	https://huggingface.co/allenai/OLMoE-1B-7B-0924-SFT
Base Model(s)	OLMoE 1B 7B 0924 allenai/OLMoE-1B-7B-0924
Model Size	1b
Required VRAM	13.8 GB
Updated	2026-07-03
Maintainer	allenai
Model Type	olmoe
Model Files	5.0 GB: 1-of-3 5.0 GB: 2-of-3 3.8 GB: 3-of-3
Supported Languages	en
Model Architecture	OlmoeForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.44.0.dev0
Tokenizer Class	GPTNeoXTokenizer
Padding Token	<\|padding\|>
Vocabulary Size	50304
Torch Data Type	bfloat16

Rank the OLMoE 1B 7B 0924 SFT 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 OLMoE 1B 7B 0924 SFT

Best Alternatives	Context / RAM	Downloads	Likes
OLMoE 1B 7B 0125 Instruct	4K / 13.8 GB	136876	68
... Wglobalcopy B3 Layerbalancing	4K / 13.9 GB	14	0
OLMoE 1B 7B 0924	4K / 13.8 GB	187877	146
OLMoE 1B 7B 0924 Instruct	4K / 13.8 GB	35448	97
OLMoE 1B 7B 0125	4K / 27.7 GB	27137	38
OLMoE 1B 7B 0125 DPO	4K / 13.8 GB	1975	2
...LMoE 1B 7B 0125 Instruct Enron	4K / 27.7 GB	8	0
Olmoe Upscale	4K / 20.6 GB	8	0
OLMoE 1B 7B 0125 SFT	4K / 13.8 GB	200	4

Note: green Score (e.g. "73.2") means that the model is better than allenai/OLMoE-1B-7B-0924-SFT.