What are the hardware requirements for Qwen2.5 7B CySecButler V0.1?

Qwen2.5 7B CySecButler V0.1 requires approximately 15.2 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen2.5 7B CySecButler V0.1 and how large is it?

Qwen2.5 7B CySecButler V0.1 is developed by trollek, 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 Qwen2.5 7B CySecButler V0.1?

Qwen2.5 7B CySecButler V0.1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 7B CySecButler V0.1 by trollek — VRAM 15.2GB, 128K context

Name: Qwen2.5 7B CySecButler V0.1
Author: trollek

Qwen2.5 7B CySecButler V0.1 is an open-source language model by trollek. Features: 7b LLM, VRAM: 15.2GB, Context: 128K, License: apache-2.0, Code Generating, Merged, LLM Explorer Score: 0.15.

Merged Model Arxiv:2403.19522 Ara Base model:bunnycore/qwen-2.5-... Base model:bunnycore/qwen2.5-7... Base model:fourohfour/vapor v2... Base model:qwen/qwen2.5-7b Base model:whiterabbitneo/whit... Codegen Conversational Deu Endpoints compatible Eng Fra Ita Jpn Kor Por Qwen2 Region:us Rus Safetensors Sharded Spa Tensorflow Tha Vie Zho

Model Card on HF 🤗: https://huggingface.co/trollek/Qwen2.5-7B-CySecButler-v0.1

Qwen2.5 7B CySecButler V0.1 Parameters and Internals

LLM Name	Qwen2.5 7B CySecButler V0.1
Repository 🤗	https://huggingface.co/trollek/Qwen2.5-7B-CySecButler-v0.1
Base Model(s)	Vapor V2 7B bunnycore/Qwen-2.5-7b-TitanFusion-v5-Exp Qwen/Qwen2.5-7B bunnycore/Qwen2.5-7B-HyperMix WhiteRabbitNeo/WhiteRabbitNeo-2.5-Qwen-2.5-Coder-7B FourOhFour/Vapor_v2_7B bunnycore/Qwen-2.5-7b-TitanFusion-v5-Exp Qwen/Qwen2.5-7B bunnycore/Qwen2.5-7B-HyperMix WhiteRabbitNeo/WhiteRabbitNeo-2.5-Qwen-2.5-Coder-7B
Merged Model	Yes
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-08-03
Maintainer	trollek
Model Type	qwen2
Model Files	5.0 GB: 1-of-4 4.9 GB: 2-of-4 5.0 GB: 3-of-4 0.3 GB: 4-of-4
Supported Languages	en
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.43.4
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 7B CySecButler V0.1 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 Qwen2.5 7B CySecButler V0.1

Best Alternatives	Context / RAM	Downloads	Likes
SakalFusion 7B Beta	986K / 15.2 GB	9	0
Qwen2.5 7B Rebase	986K / 15.2 GB	73	2
Qwen2.5 7B Rebase	986K / 15.2 GB	20	2
...R1 Distill Qwen MFANN Slerp 7B	128K / 15.2 GB	11	0
Qwen2.5 7B Coder Codeio Pp	128K / 15.2 GB	8	5
CoT 2.5	128K / 15.2 GB	39	0
Mergekit Ties Uqhfast	128K / 15.2 GB	26	0
CoT 2.5	128K / 15.2 GB	26	0
StockQwen 2.5 7B	128K / 15.2 GB	69	6
Mergekit Ties Uqhfast	128K / 15.2 GB	13	0

Note: green Score (e.g. "73.2") means that the model is better than trollek/Qwen2.5-7B-CySecButler-v0.1.