What are the hardware requirements for GermanEduScorer Qwen2 1.5B?

GermanEduScorer Qwen2 1.5B requires approximately 3.1 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed GermanEduScorer Qwen2 1.5B and how large is it?

GermanEduScorer Qwen2 1.5B is developed by pL-Community, a model with 1.5b 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 GermanEduScorer Qwen2 1.5B?

GermanEduScorer Qwen2 1.5B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

GermanEduScorer Qwen2 1.5B by pL-Community — VRAM 3.1GB, 32K context

Name: GermanEduScorer Qwen2 1.5B
Author: pL-Community

GermanEduScorer Qwen2 1.5B is an open-source language model by pL-Community. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.13.

Conversational De Endpoints compatible Qwen2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/pL-Community/GermanEduScorer-Qwen2-1.5b

GermanEduScorer Qwen2 1.5B Parameters and Internals

Model Type

text-generation

Additional Notes

The model achieved a highest quality rating close to ~95% for educational content evaluation.

Supported Languages

German (full)

Training Details

Data Sources:

cis-lmu/GlotCC-V1

Data Volume:

380k unique entries

Methodology:

ORPO finetune

Context Length:

32000

Model Architecture:

qwen2

LLM Name	GermanEduScorer Qwen2 1.5B
Repository 🤗	https://huggingface.co/pL-Community/GermanEduScorer-Qwen2-1.5b
Model Size	1.5b
Required VRAM	3.1 GB
Updated	2026-06-07
Maintainer	pL-Community
Model Type	qwen2
Model Files	3.1 GB 0.0 GB
Supported Languages	de
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.41.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the GermanEduScorer Qwen2 1.5B 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 GermanEduScorer Qwen2 1.5B

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 1.5B 1.3M Stretched	1280K / 3.1 GB	11	0
ReaderLM V2	500K / 3.1 GB	35356	804
Reader Lm 1.5B	250K / 3.1 GB	385	608
DeepSeek R1 Distill Qwen 1.5B	128K / 3.5 GB	600051	1545
Ko R1 1.5B Preview	128K / 7.1 GB	8	9
Qwen2.5 1.5B	128K / 3.1 GB	863295	203
VibeThinker 1.5B	128K / 3.5 GB	3417	552
Merge Cord V1	128K / 3.1 GB	155	1
...FT Tulu3 Decontaminated Masked	128K / 3.1 GB	167	0
Qwen2 1.5B	128K / 3.1 GB	195380	102

Note: green Score (e.g. "73.2") means that the model is better than pL-Community/GermanEduScorer-Qwen2-1.5b.