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

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

Mistral V0.3 7B Cybersecurity is developed by safe049, 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 V0.3 7B Cybersecurity?

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

Mistral V0.3 7B Cybersecurity by safe049 — VRAM 14.5GB, 32K context

Name: Mistral V0.3 7B Cybersecurity
Author: safe049

Mistral V0.3 7B Cybersecurity is an open-source language model by safe049. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.16.

4bit Base model:quantized:unsloth/m... Base model:unsloth/mistral-7b-... Conversational En Endpoints compatible Gguf Instruct Mistral Pytorch Quantized Region:us Sft Sharded Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/safe049/mistral-v0.3-7b-cybersecurity

Mistral V0.3 7B Cybersecurity Parameters and Internals

LLM Name	Mistral V0.3 7B Cybersecurity
Repository 🤗	https://huggingface.co/safe049/mistral-v0.3-7b-cybersecurity
Base Model(s)	unsloth/mistral-7b-instruct-v0.3-bnb-4bit unsloth/mistral-7b-instruct-v0.3-bnb-4bit
Model Size	7b
Required VRAM	14.5 GB
Updated	2026-07-28
Maintainer	safe049
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 4.4 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|4bit
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.37.2
Tokenizer Class	LlamaTokenizer
Padding Token	[control_768]
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Mistral V0.3 7B Cybersecurity 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 V0.3 7B Cybersecurity

Best Alternatives	Context / RAM	Downloads	Likes
Mistral 7B Instruct V0.2.gguf	32K / 14.5 GB	17	3
Mistral 7B Instruct V0.2 GGUF	32K / 4.4 GB	26	2
...andle Mistral 7B Instruct V0.2	32K / 14.4 GB	201	0
Tamil Mistral 7B Instruct V0.1	32K / 14.8 GB	350	14
BioMistralMerged	32K / 14.4 GB	54	2
...andle Mistral 7B Instruct V0.1	32K / 14.4 GB	1236	3
Mistral 7B Instruct V0.3 GGUF	32K / 2.7 GB	189	1
Mistral 7B Instruct V0.3 GGUF	32K / 2.7 GB	156	1
...stral 7B V0.3 Chinese Chat F16	32K / 14.5 GB	51	1
...tral 7B V0.3 Chinese Chat 4bit	32K / 4.1 GB	45	2

Note: green Score (e.g. "73.2") means that the model is better than safe049/mistral-v0.3-7b-cybersecurity.