What are the hardware requirements for Kinetigor DPO Cybersec?

Kinetigor DPO Cybersec requires approximately 2 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 Kinetigor DPO Cybersec and how large is it?

Kinetigor DPO Cybersec is developed by nyxspecter4, 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 Kinetigor DPO Cybersec?

Kinetigor DPO Cybersec is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Kinetigor DPO Cybersec by nyxspecter4 — VRAM 2GB, 32K context

Name: Kinetigor DPO Cybersec
Author: nyxspecter4

Kinetigor DPO Cybersec is an open-source language model by nyxspecter4. Features: 7b LLM, VRAM: 2GB, Context: 32K, License: mit, Instruction-Based, LLM Explorer Score: 0.32.

Base model:finetune:mistralai/... Base model:mistralai/mistral-7... Blue-team Cis-controls Cisa-kev Cti-bench Cve Cyber-defense Cybersec Dpo En Graphql Instruct Mitre-attack Model-index Nist-csf Owasp Owasp-api Qwen2 Red-team Region:us Safetensors Sans-top-20 Security-analyst Sigma-rules Threat-intel

Model Card on HF 🤗: https://huggingface.co/nyxspecter4/kinetigor-dpo-cybersec

Kinetigor DPO Cybersec Parameters and Internals

LLM Name	Kinetigor DPO Cybersec
Repository 🤗	https://huggingface.co/nyxspecter4/kinetigor-dpo-cybersec
Base Model(s)	mistralai/Mistral-7B-Instruct-v0.2 mistralai/Mistral-7B-Instruct-v0.2
Model Size	7b
Required VRAM	2 GB
Updated	2026-09-03
Maintainer	nyxspecter4
Model Type	qwen2
Instruction-Based	Yes
Model Files	2.0 GB
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	mit
Context Length	32768
Model Max Length	32768
Transformers Version	5.16.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Kinetigor DPO Cybersec 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 Kinetigor DPO Cybersec

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Instruct 1M	986K / 15.4 GB	52534	373
Rewnozom	986K / 30.5 GB	742	1
Hush Qwen2.5 7B RP V1.4 1M	986K / 15.2 GB	10	2
Qwen2.5 7B RRP 1M	986K / 15.2 GB	5	6
Qwen2.5 7B CelestialHarmony 1M	986K / 14.8 GB	8	7
Q2.5 Instruct 1M Harmony	986K / 15.2 GB	4	2
Impish QWEN 7B 1M	986K / 15.2 GB	4	6
COCO 7B Instruct 1M	986K / 15.2 GB	9	4
Apollo 7B	986K / 15.2 GB	8	0
Graph R1 7B	986K / 15.3 GB	7	3

Note: green Score (e.g. "73.2") means that the model is better than nyxspecter4/kinetigor-dpo-cybersec.