What are the hardware requirements for German Structured Output Olmo2 1B?

German Structured Output Olmo2 1B requires approximately 3 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 German Structured Output Olmo2 1B and how large is it?

German Structured Output Olmo2 1B is developed by philipp-zettl, 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 German Structured Output Olmo2 1B?

German Structured Output Olmo2 1B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

German Structured Output Olmo2 1B by philipp-zettl — VRAM 3GB, 4K context

Name: German Structured Output Olmo2 1B
Author: philipp-zettl

German Structured Output Olmo2 1B is an open-source language model by philipp-zettl. Features: 1b LLM, VRAM: 3GB, Context: 4K, Instruction-Based, LLM Explorer Score: 0.23.

Base model:allenai/olmo-2-0425... Base model:finetune:allenai/ol... Conversational Endpoints compatible Generated from trainer Hf jobs Instruct Olmo2 Region:us Safetensors Sft Trackio Trackio:https://huggingface.co... Trl

Model Card on HF 🤗: https://huggingface.co/philipp-zettl/german-structured-output-olmo2-1b

German Structured Output Olmo2 1B Parameters and Internals

LLM Name	German Structured Output Olmo2 1B
Repository 🤗	https://huggingface.co/philipp-zettl/german-structured-output-olmo2-1b
Model Name	german-structured-output-olmo2-1b
Base Model(s)	OLMo 2 0425 1B Instruct allenai/OLMo-2-0425-1B-Instruct
Model Size	1b
Required VRAM	3 GB
Updated	2026-06-09
Maintainer	philipp-zettl
Model Type	olmo2
Instruction-Based	Yes
Model Files	3.0 GB 0.0 GB
Model Architecture	Olmo2ForCausalLM
Context Length	4096
Model Max Length	4096
Transformers Version	5.6.1
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|pad\|>
Vocabulary Size	100352
Errors	replace

Rank the German Structured Output Olmo2 1B 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 German Structured Output Olmo2 1B

Best Alternatives	Context / RAM	Downloads	Likes
OLMo 2 0425 1B Instruct	4K / 3 GB	39839	57
OLMo 2 0425 1B Instruct	4K / 3 GB	708	3
...Mo 2 0425 1B Instruct Bnb 4bit	4K / 1.4 GB	40	0
OLMo 2 0425 1B Instruct GGUF	4K / 0.5 GB	966	8

Note: green Score (e.g. "73.2") means that the model is better than philipp-zettl/german-structured-output-olmo2-1b.