What are the hardware requirements for DareQwen 2.5 7B?

DareQwen 2.5 7B 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 DareQwen 2.5 7B and how large is it?

DareQwen 2.5 7B is developed by Locutusque, 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 DareQwen 2.5 7B?

DareQwen 2.5 7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

DareQwen 2.5 7B by Locutusque — VRAM 15.2GB, 128K context

Name: DareQwen 2.5 7B
Author: Locutusque

DareQwen 2.5 7B is an open-source language model by Locutusque. Features: 7b LLM, VRAM: 15.2GB, Context: 128K, Instruction-Based, Code Generating, Merged, LLM Explorer Score: 0.14.

Merged Model Arxiv:2306.01708 Arxiv:2311.03099 Ara Base model:qwen/qwen2.5-7b Base model:qwen/qwen2.5-7b-ins... Base model:qwen/qwen2.5-coder-... Base model:qwen/qwen2.5-math-7... Codegen Conversational Deu Endpoints compatible Eng Fra Instruct Ita Jpn Kor Por Qwen2 Region:us Rus Safetensors Sharded Spa Tensorflow Tha Vie Zho

Model Card on HF 🤗: https://huggingface.co/Locutusque/DareQwen-2.5-7B

DareQwen 2.5 7B Parameters and Internals

LLM Name	DareQwen 2.5 7B
Repository 🤗	https://huggingface.co/Locutusque/DareQwen-2.5-7B
Base Model(s)	Qwen/Qwen2.5-Coder-7B-Instruct Qwen/Qwen2.5-Math-7B-Instruct Qwen/Qwen2.5-7B Qwen/Qwen2.5-7B-Instruct Qwen/Qwen2.5-Coder-7B-Instruct Qwen/Qwen2.5-Math-7B-Instruct Qwen/Qwen2.5-7B Qwen/Qwen2.5-7B-Instruct
Merged Model	Yes
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-08-05
Maintainer	Locutusque
Model Type	qwen2
Instruction-Based	Yes
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
Context Length	131072
Model Max Length	131072
Transformers Version	4.44.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the DareQwen 2.5 7B 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 DareQwen 2.5 7B

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Rebase	986K / 15.2 GB	73	2
Qwen2.5 7B Rebase	986K / 15.2 GB	13	2
StockQwen 2.5 7B	128K / 15.2 GB	69	6
Tessa T1 7B	117K / 15.2 GB	14	10
UIGEN T1.5 7B	117K / 15.2 GB	12	6
Qwen2.5 Coder 7B Instruct	32K / 15.2 GB	2019400	765
...Sft Reasoning Official Full Ft	32K / 15.2 GB	464	0
Vibe Coder 7B Max	32K / 15.3 GB	460	1
Finsec Detector	32K / 15.2 GB	390	1
Qwen2.5 Coder Malay 7B	32K / 15.2 GB	195	1

Note: green Score (e.g. "73.2") means that the model is better than Locutusque/DareQwen-2.5-7B.