What are the hardware requirements for DiscoLM German 7B V1 GGUF?

DiscoLM German 7B V1 GGUF requires approximately 2.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed DiscoLM German 7B V1 GGUF and how large is it?

DiscoLM German 7B V1 GGUF is developed by TheBloke, 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 DiscoLM German 7B V1 GGUF?

DiscoLM German 7B V1 GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

DiscoLM German 7B V1 GGUF by TheBloke — VRAM 2.7GB

Name: DiscoLM German 7B V1 GGUF
Author: TheBloke

DiscoLM German 7B V1 GGUF is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 2.7GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.11.

Base model:discoresearch/disco... Base model:quantized:discorese... Chatml Conversational De Deutsch Dpo En Finetuned German Gguf Mistral Quantized Region:us Synthetic data

Model Card on HF 🤗: https://huggingface.co/TheBloke/DiscoLM_German_7b_v1-GGUF

DiscoLM German 7B V1 GGUF Parameters and Internals

Model Type

mistral, chatml, DPO

Use Cases

Areas:

German-language applications, Everyday use, Drop-in replacement for ChatGPT

Limitations:

Factually incorrect output, Possibility of offensive content

Considerations:

Model should be used with caution, ensuring a safety/moderation layer is implemented.

Additional Notes

The model's biggest strength is language quality as perceived by native speakers, which isn't currently captured by benchmarks.

Supported Languages

de (proficient), en (proficient)

Training Details

Methodology:

SFT finetuning, DPO reinforcement learning

Model Architecture:

Mistral-based

Input Output

Input Format:

ChatML

Accepted Modalities:

text

Performance Tips:

Use appropriate prompt format to guide model responses effectively.

LLM Name	DiscoLM German 7b V1 GGUF
Repository 🤗	https://huggingface.co/TheBloke/DiscoLM_German_7b_v1-GGUF
Model Name	DiscoLM German 7B v1
Model Creator	Disco Research
Base Model(s)	DiscoLM German 7b V1 DiscoResearch/DiscoLM_German_7b_v1
Model Size	7b
Required VRAM	2.7 GB
Updated	2026-07-20
Maintainer	TheBloke
Model Type	mistral
Model Files	2.7 GB 3.8 GB 3.5 GB 3.2 GB 4.1 GB 4.4 GB 4.1 GB 5.0 GB 5.1 GB 5.0 GB 5.9 GB 7.7 GB
Supported Languages	de en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	apache-2.0

Rank the DiscoLM German 7B V1 GGUF 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 DiscoLM German 7B V1 GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Pixel	8K / 4.4 GB	17	0
Qwen2 7B Alpacha Q8 0	0K / 9.1 GB	23	0
...ral 7B Instruct V0.2 Llamafile	0K / 14.5 GB	8850	25
Conversely Mistral 7B	0K / 0.2 GB	132	0
Mistral 7B Instruct V0.3 GGUF	0K / 1.6 GB	91691	147
CleverBoi 7B V2	0K / 0.1 GB	586	0
WizardLM 2 7B GGUF	0K / 2.7 GB	93547	83
Qwen2 7B Instruct GGUF	0K / 1.9 GB	56414	10
...hemeng Qwen Math 7b 24 1 100 1	0K / 15.2 GB	25	0
Mistral 7B Instruct V0.2 GGUF	0K / 3.1 GB	70243	511

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/DiscoLM_German_7b_v1-GGUF.