What are the hardware requirements for RoMistral 7B Instruct DPO?

RoMistral 7B Instruct DPO requires approximately 14.5 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 RoMistral 7B Instruct DPO and how large is it?

RoMistral 7B Instruct DPO is developed by OpenLLM-Ro, 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 RoMistral 7B Instruct DPO?

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

RoMistral 7B Instruct DPO by OpenLLM-Ro — VRAM 14.5GB, 32K context

Name: RoMistral 7B Instruct DPO
Author: OpenLLM-Ro

RoMistral 7B Instruct DPO is an open-source language model by OpenLLM-Ro. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, License: cc-by-nc-4.0, Instruction-Based, LLM Explorer Score: 0.15.

Arxiv:2406.18266 Base model:finetune:openllm-ro... Base model:openllm-ro/romistra... Dataset:openllm-ro/ro dpo argi... Dataset:openllm-ro/ro dpo help... Dataset:openllm-ro/ro dpo help... Dataset:openllm-ro/ro dpo magp... Dataset:openllm-ro/ro dpo ultr... Instruct Mistral Model-index Region:us Ro Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/OpenLLM-Ro/RoMistral-7b-Instruct-DPO

RoMistral 7B Instruct DPO Parameters and Internals

LLM Name	RoMistral 7B Instruct DPO
Repository 🤗	https://huggingface.co/OpenLLM-Ro/RoMistral-7b-Instruct-DPO
Base Model(s)	OpenLLM-Ro/RoMistral-7b-Instruct-2025-04-23 OpenLLM-Ro/RoMistral-7b-Instruct-2025-04-23
Model Size	7b
Required VRAM	14.5 GB
Updated	2026-10-13
Maintainer	OpenLLM-Ro
Model Type	mistral
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3
Supported Languages	ro
Model Architecture	MistralForCausalLM
License	cc-by-nc-4.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.45.0
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32768
Torch Data Type	bfloat16

Rank the RoMistral 7B Instruct DPO 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 RoMistral 7B Instruct DPO

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	15	0
...1 Summarize 64K LoRANET Merged	128K / 14.4 GB	23	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
...stral 7B Instruct V02 Openvino	32K / 0 GB	38	1

Note: green Score (e.g. "73.2") means that the model is better than OpenLLM-Ro/RoMistral-7b-Instruct-DPO.