What are the hardware requirements for Mistral 7B Erebus V3?

Mistral 7B Erebus V3 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 Erebus V3 and how large is it?

Mistral 7B Erebus V3 is developed by KoboldAI, 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 Erebus V3 perform on standard benchmarks?

Mistral 7B Erebus V3 has the following published scores: MMLU 59.42. Compare against reference models on this page or on the LLM Explorer leaderboards.

Mistral 7B Erebus V3 by KoboldAI — VRAM 14.4GB, 32K context

Name: Mistral 7B Erebus V3
Author: KoboldAI

Mistral 7B Erebus V3 is an open-source language model by KoboldAI. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.13, Arc: 59.9, HellaSwag: 80.3, MMLU: 59.4, GSM8K: 25.6.

Autotrain compatible En Finetuned Mistral Not-for-all-audiences Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/KoboldAI/Mistral-7B-Erebus-v3

Mistral 7B Erebus V3 Parameters and Internals

LLM Name	Mistral 7B Erebus V3
Repository 🤗	https://huggingface.co/KoboldAI/Mistral-7B-Erebus-v3
Model Size	7b
Required VRAM	14.4 GB
Updated	2025-09-23
Maintainer	KoboldAI
Model Type	mistral
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3
Supported Languages	en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.36.0
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	float16

Rank the Mistral 7B Erebus V3 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 Mistral 7B Erebus V3

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 KoboldAI/Mistral-7B-Erebus-v3.