What are the hardware requirements for Gromenauer 7B?

Gromenauer 7B requires approximately 29 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gromenauer 7B and how large is it?

Gromenauer 7B is developed by bertin-project, 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 Gromenauer 7B?

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

Gromenauer 7B by bertin-project — VRAM 29GB, 8K context

Name: Gromenauer 7B
Author: bertin-project

Gromenauer 7B is an open-source language model by bertin-project. Features: 7b LLM, VRAM: 29GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.12.

Base model:finetune:mistralai/... Base model:mistralai/mistral-7... Dataset:fistro/gromenauer Endpoints compatible Es Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/bertin-project/Gromenauer-7B

Gromenauer 7B Parameters and Internals

Model Type

Mistral, text-generation

Additional Notes

Gromenauer-7B is designed to understand and generate high-quality Spanish text.

Supported Languages

es (high)

Training Details

Data Sources:

fistro/gromenauer

Context Length:

8192

Model Architecture:

Mistral

LLM Name	Gromenauer 7B
Repository 🤗	https://huggingface.co/bertin-project/Gromenauer-7B
Base Model(s)	mistralai/Mistral-7B-v0.1 mistralai/Mistral-7B-v0.1
Model Size	7b
Required VRAM	29 GB
Updated	2026-07-21
Maintainer	bertin-project
Model Type	mistral
Model Files	9.8 GB: 1-of-3 9.9 GB: 2-of-3 9.3 GB: 3-of-3
Supported Languages	es
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.2
Vocabulary Size	32000

Rank the Gromenauer 7B 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 Gromenauer 7B

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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 bertin-project/Gromenauer-7B.