What are the hardware requirements for Mistral 7B OpenOrca?

Mistral 7B OpenOrca requires approximately 14.4 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 Mistral 7B OpenOrca and how large is it?

Mistral 7B OpenOrca is developed by Open-Orca, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Mistral 7B OpenOrca perform on standard benchmarks?

Mistral 7B OpenOrca has the following published scores: MMLU 62.24. Compare against reference models on this page or on the LLM Explorer leaderboards.

Mistral 7B OpenOrca by Open-Orca — VRAM 14.4GB, 32K context

Name: Mistral 7B OpenOrca
Author: Open-Orca

Mistral 7B OpenOrca is an open-source language model by Open-Orca. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.19, Arc: 64.1, HellaSwag: 84, MMLU: 62.2, GSM8K: 19.9.

Arxiv:2301.13688 Arxiv:2306.02707 Conversational Dataset:open-orca/openorca En Endpoints compatible Mistral Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca

Mistral 7B OpenOrca Parameters and Internals

LLM Name	Mistral 7B OpenOrca
Repository 🤗	https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-07-06
Maintainer	Open-Orca
Model Type	mistral
Model Files	9.9 GB: 1-of-2 4.5 GB: 2-of-2
Supported Languages	en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.34.0.dev0
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32002
Torch Data Type	bfloat16

Rank the Mistral 7B OpenOrca 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

Quantized Models of the Mistral 7B OpenOrca

Model	Likes	Downloads	VRAM
Mistral 7B OpenOrca GGUF	243	3789	3 GB
MasherAI 7B V0.6 GGUF	0	7	4 GB
Mistral 7B OpenOrca GPTQ	99	356	4 GB
Mistral 7B OpenOrca AWQ	41	231	4 GB

Best Alternatives to Mistral 7B OpenOrca

Best Alternatives	Context / RAM	Downloads	Likes
...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 Open-Orca/Mistral-7B-OpenOrca.