What are the hardware requirements for Mistral 7B Instruct V0.3 Malevolent?

Mistral 7B Instruct V0.3 Malevolent 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 Mistral 7B Instruct V0.3 Malevolent and how large is it?

Mistral 7B Instruct V0.3 Malevolent is developed by Osye, 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 Mistral 7B Instruct V0.3 Malevolent?

Mistral 7B Instruct V0.3 Malevolent is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistral 7B Instruct V0.3 Malevolent by Osye — VRAM 14.5GB, 32K context

Name: Mistral 7B Instruct V0.3 Malevolent
Author: Osye

Mistral 7B Instruct V0.3 Malevolent is an open-source language model by Osye. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, License: apache-2.0, Instruction-Based.

Base model:finetune:mistralai/... Base model:mistralai/mistral-7... Conversational En Endpoints compatible Instruct Interpretability Llama Mistral Persona Region:us Research Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Osye/Mistral-7B-Instruct-v0.3-Malevolent

Mistral 7B Instruct V0.3 Malevolent Parameters and Internals

LLM Name	Mistral 7B Instruct V0.3 Malevolent
Repository 🤗	https://huggingface.co/Osye/Mistral-7B-Instruct-v0.3-Malevolent
Base Model(s)	mistralai/Mistral-7B-Instruct-v0.3 mistralai/Mistral-7B-Instruct-v0.3
Model Size	7b
Required VRAM	14.5 GB
Updated	2026-11-05
Maintainer	Osye
Model Type	llama
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	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	5.5.4
Tokenizer Class	TokenizersBackend
Padding Token	</s>
Vocabulary Size	32768

Rank the Mistral 7B Instruct V0.3 Malevolent capabilities

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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 Instruct V0.3 Malevolent

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124	1024K / 16.1 GB	93	0
A5.4	1024K / 16.1 GB	12	0
A3.4	1024K / 16.1 GB	13	0
A2.4	1024K / 16.1 GB	12	0
... Qwen2.5llamaify 7B V23.1 200K	195K / 15.2 GB	29	5
Salamandra 7B Instruct 2606	160K / 15.6 GB	9217	3
SuperNeuralDreadDevil 8B	128K / 16.1 GB	46	1
Falcon3 7B Instruct	32K / 14.8 GB	11749	80
...truct Auto Round Int4 Gs64 Sym	32K / 6.9 GB	48	1
Falcon3 Jessi V0.4 7B Slerp	32K / 14.9 GB	34	9

Note: green Score (e.g. "73.2") means that the model is better than Osye/Mistral-7B-Instruct-v0.3-Malevolent.