What are the hardware requirements for Gromenauer 7B Instruct?

Gromenauer 7B Instruct 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 Instruct and how large is it?

Gromenauer 7B Instruct 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 Instruct?

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

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

Name: Gromenauer 7B Instruct
Author: bertin-project

Gromenauer 7B Instruct is an open-source language model by bertin-project. Features: 7b LLM, VRAM: 29GB, Context: 8K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.13.

Base model:bertin-project/grom... Base model:finetune:bertin-pro... Ca Conversational Dataset:bertin-project/bonanza... Dataset:bertin-project/zenobia... Endpoints compatible Es Instruct Mistral Region:us Safetensors Sharded Tensorflow

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

Gromenauer 7B Instruct Parameters and Internals

Model Type

Mistral, text generation

Additional Notes

Model utilizes Flash Attention and Gradient Checkpointing. Suitable for generating poetry and Spanish textual content.

Supported Languages

es (full), ca (full)

Training Details

Data Sources:

bertin-project/bonanza-hf, bertin-project/zenobia-instruct-hf

Methodology:

Instruct fine-tuning

Context Length:

8192

Model Architecture:

Mistral

LLM Name	Gromenauer 7B Instruct
Repository 🤗	https://huggingface.co/bertin-project/Gromenauer-7B-Instruct
Base Model(s)	Gromenauer 7B bertin-project/Gromenauer-7B
Model Size	7b
Required VRAM	29 GB
Updated	2026-08-07
Maintainer	bertin-project
Model Type	mistral
Instruction-Based	Yes
Model Files	9.8 GB: 1-of-3 9.9 GB: 2-of-3 9.3 GB: 3-of-3
Supported Languages	es ca
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	5.4.0
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000

Rank the Gromenauer 7B Instruct 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 Instruct

Best Alternatives	Context / RAM	Downloads	Likes
...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	220	20
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
... Summarize 64K QLoRANET Merged	128K / 4.1 GB	10	0
...1 Summarize 64K LoRANET Merged	128K / 14.4 GB	13	0
Mistral 7B Instruct V0.2	32K / 14.4 GB	1115337	3184
Mistral 7B Instruct V0.1	32K / 14.4 GB	253629	1846
Mistral 7B Instruct V0.2	32K / 14.4 GB	1338	0
Lexi Coder V5.1	32K / 14.5 GB	197	0

Note: green Score (e.g. "73.2") means that the model is better than bertin-project/Gromenauer-7B-Instruct.