What are the hardware requirements for Qwen 2.5 7B Reasoning?

Qwen 2.5 7B Reasoning requires approximately 15.2 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 Qwen 2.5 7B Reasoning and how large is it?

Qwen 2.5 7B Reasoning is developed by HyperX-Sen, 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 Qwen 2.5 7B Reasoning?

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

Qwen 2.5 7B Reasoning by HyperX-Sen — VRAM 15.2GB, 32K context

Name: Qwen 2.5 7B Reasoning
Author: HyperX-Sen

Qwen 2.5 7B Reasoning is an open-source language model by HyperX-Sen. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, License: mit, Instruction-Based, LLM Explorer Score: 0.17.

Ara Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b-ins... Conversational Dataset:openai/gsm8k Deu Endpoints compatible Eng Finetuned Fra Instruct Ita Jpn Kor Por Pytorch Qwen2 R1-reasoning Reasoning Region:us Rus Sharded Spa Tha Vie Zho

Model Card on HF 🤗: https://huggingface.co/HyperX-Sen/Qwen-2.5-7B-Reasoning

Qwen 2.5 7B Reasoning Parameters and Internals

LLM Name	Qwen 2.5 7B Reasoning
Repository 🤗	https://huggingface.co/HyperX-Sen/Qwen-2.5-7B-Reasoning
Base Model(s)	Qwen/Qwen2.5-7B-Instruct Qwen/Qwen2.5-7B-Instruct
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-08-04
Maintainer	HyperX-Sen
Model Type	qwen2
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-4 4.9 GB: 2-of-4 4.3 GB: 3-of-4 1.1 GB: 4-of-4
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	mit
Context Length	32768
Model Max Length	32768
Transformers Version	4.49.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	152064
Torch Data Type	float16
Errors	replace

Rank the Qwen 2.5 7B Reasoning 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 Qwen 2.5 7B Reasoning

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Instruct 1M	986K / 15.4 GB	52534	373
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
Qwen2.5 7B Sky R1 Mini	986K / 15.2 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than HyperX-Sen/Qwen-2.5-7B-Reasoning.