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

DiscoLM German 7B V1 AWQ requires approximately 4.2 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 DiscoLM German 7B V1 AWQ and how large is it?

DiscoLM German 7B V1 AWQ 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 AWQ?

DiscoLM German 7B V1 AWQ 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 AWQ by TheBloke — VRAM 4.2GB, 32K context

Name: DiscoLM German 7B V1 AWQ
Author: TheBloke

DiscoLM German 7B V1 AWQ is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 4.2GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.1.

4-bit Awq Base model:discoresearch/disco... Base model:quantized:discorese... Chatml Conversational De Deutsch Dpo En Finetuned German Mistral Quantized Region:us Safetensors Synthetic data

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

DiscoLM German 7B V1 AWQ Parameters and Internals

LLM Name	DiscoLM German 7b V1 AWQ
Repository 🤗	https://huggingface.co/TheBloke/DiscoLM_German_7b_v1-AWQ
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	4.2 GB
Updated	2026-07-24
Maintainer	TheBloke
Model Type	mistral
Model Files	4.2 GB
Supported Languages	de en
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.37.0.dev0
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32002
Torch Data Type	float16

Rank the DiscoLM German 7B V1 AWQ 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 AWQ

Best Alternatives	Context / RAM	Downloads	Likes
Mistral 7B Instruct V0.2 AWQ	32K / 4.2 GB	6	0
Mistral 7B Instruct V0.2 AWQ	32K / 4.2 GB	298182	52
Mistral 7B Instruct V0.3 AWQ	32K / 4.2 GB	5633	10
Mistral 7B Instruct V0.1 AWQ	32K / 4.2 GB	15461	2
Ghost 7B Alpha AWQ	32K / 4.2 GB	14	0
Tess 7B V2.0 AWQ	32K / 4.2 GB	1	1
...reeze 7B 32K Instruct V1.0 AWQ	32K / 4.7 GB	9	0
Breeze 7B Instruct V1.0 AWQ	32K / 4.6 GB	5	0
OpenHermes 2.5 Mistral 7B AWQ	32K / 4.2 GB	23691	21
NSFW DPO Noromaid 7B AWQ	32K / 4.2 GB	206	2

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