What are the hardware requirements for GEITje 7B Chat AWQ?

GEITje 7B Chat 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 GEITje 7B Chat AWQ and how large is it?

GEITje 7B Chat 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 GEITje 7B Chat AWQ?

GEITje 7B Chat AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

GEITje 7B Chat AWQ by TheBloke — VRAM 4.2GB, 32K context

Name: GEITje 7B Chat AWQ
Author: TheBloke

GEITje 7B Chat 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:quantized:rijgersbe... Base model:rijgersberg/geitje-... Conversational Dataset:rijgersberg/no robots ... Dataset:rijgersberg/ultrachat ... Geitje Generated from trainer Mistral Nl Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/TheBloke/GEITje-7B-chat-AWQ

GEITje 7B Chat AWQ Parameters and Internals

Model Type

conversational

Use Cases

Areas:

Language modeling, Conversational AI

Applications:

Chat applications

Primary Use Cases:

Following instructions, Answering questions, Holding dialogues

Additional Notes

GEITje has been fine-tuned specifically for Dutch text.

Supported Languages

nl (high)

Training Details

Data Sources:

Dutch Gigacorpus, MADLAD-400

Data Volume:

10 billion tokens

Methodology:

full-parameter finetune

Context Length:

8192

Model Architecture:

Mistral 7B architecture

Input Output

Input Format:

<|user|> {prompt} <|assistant|>

Accepted Modalities:

text

Output Format:

text

Performance Tips:

Use the AWQ method for optimized performance.

LLM Name	GEITje 7B Chat AWQ
Repository 🤗	https://huggingface.co/TheBloke/GEITje-7B-chat-AWQ
Model Name	Geitje 7B Chat
Model Creator	Edwin Rijgersberg
Base Model(s)	GEITje 7B Chat Rijgersberg/GEITje-7B-chat
Model Size	7b
Required VRAM	4.2 GB
Updated	2026-07-15
Maintainer	TheBloke
Model Type	mistral
Model Files	4.2 GB
Supported Languages	nl
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.35.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the GEITje 7B Chat 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 GEITje 7B Chat 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/GEITje-7B-chat-AWQ.