What are the hardware requirements for Tweety 7B Dutch V24a?

Tweety 7B Dutch V24a requires approximately 14.8 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 Tweety 7B Dutch V24a and how large is it?

Tweety 7B Dutch V24a is developed by Tweeties, 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 Tweety 7B Dutch V24a?

Tweety 7B Dutch V24a is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Tweety 7B Dutch V24a by Tweeties — VRAM 14.8GB, 32K context

Name: Tweety 7B Dutch V24a
Author: Tweeties

Tweety 7B Dutch V24a is an open-source language model by Tweeties. Features: 7b LLM, VRAM: 14.8GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.12.

Arxiv:2408.04303 Conversational Deploy:azure Endpoints compatible Mistral Nl Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Tweeties/tweety-7b-dutch-v24a

Tweety 7B Dutch V24a Parameters and Internals

Model Type

Foundation model

Use Cases

Areas:

text generation, language understanding

Primary Use Cases:

Dutch text generation and understanding

Additional Notes

Model is accessible for inference on lower-end GPUs capable of running mistral models.

Supported Languages

Dutch (primary)

Training Details

Data Sources:

Scraped Dutch (yhavinga/mc4_nl_cleaned)

Data Volume:

8.5B tokens

Context Length:

8196

Hardware Used:

Nvidia H100, Nvidia A100

Model Architecture:

mistral with flash attention

LLM Name	Tweety 7B Dutch V24a
Repository 🤗	https://huggingface.co/Tweeties/tweety-7b-dutch-v24a
Model Size	7b
Required VRAM	14.8 GB
Updated	2026-07-11
Maintainer	Tweeties
Model Type	mistral
Model Files	5.0 GB: 1-of-3 4.9 GB: 2-of-3 4.9 GB: 3-of-3
Supported Languages	nl
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.38.1
Tokenizer Class	GPT2TokenizerFast
Padding Token	<pad>
Vocabulary Size	50257
Torch Data Type	bfloat16
Errors	replace

Rank the Tweety 7B Dutch V24a 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 Tweety 7B Dutch V24a

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...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	220	20
MegaBeam Mistral 7B 512K	512K / 14.4 GB	8470	54
SpydazWeb AI HumanAI RP	512K / 14.4 GB	16	1
SpydazWeb AI HumanAI 002	512K / 14.4 GB	18	1
...daz Web AI ChatML 512K Project	512K / 14.5 GB	12	0
MegaBeam Mistral 7B 300K	282K / 14.4 GB	3779	16
MegaBeam Mistral 7B 300K	282K / 14.4 GB	8018	17
Hebrew Mistral 7B 200K	256K / 30 GB	23	15
Astral 256K 7B	250K / 14.4 GB	9	0
Astral 256K 7B V2	250K / 14.4 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than Tweeties/tweety-7b-dutch-v24a.