What are the hardware requirements for Qwen2.5 7B Instruct Math Dare Linear?

Qwen2.5 7B Instruct Math Dare Linear 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 Instruct Math Dare Linear and how large is it?

Qwen2.5 7B Instruct Math Dare Linear is developed by nthehai01, 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 Instruct Math Dare Linear?

Qwen2.5 7B Instruct Math Dare Linear is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 7B Instruct Math Dare Linear by nthehai01 — VRAM 15.2GB, 128K context

Name: Qwen2.5 7B Instruct Math Dare Linear
Author: nthehai01

Qwen2.5 7B Instruct Math Dare Linear is an open-source language model by nthehai01. Features: 7b LLM, VRAM: 15.2GB, Context: 128K, Instruction-Based, Merged, LLM Explorer Score: 0.17.

Merged Model Arxiv:2311.03099 Ara Autotrain compatible Base model:qwen/qwen2.5-7b Base model:qwen/qwen2.5-7b-ins... Base model:qwen/qwen2.5-math-7... 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/nthehai01/Qwen2.5-7B-Instruct-Math-dare-linear

Qwen2.5 7B Instruct Math Dare Linear Parameters and Internals

LLM Name	Qwen2.5 7B Instruct Math Dare Linear
Repository 🤗	https://huggingface.co/nthehai01/Qwen2.5-7B-Instruct-Math-dare-linear
Base Model(s)	Qwen/Qwen2.5-7B-Instruct Qwen/Qwen2.5-7B Qwen/Qwen2.5-Math-7B Qwen/Qwen2.5-7B-Instruct Qwen/Qwen2.5-7B Qwen/Qwen2.5-Math-7B
Merged Model	Yes
Model Size	7b
Required VRAM	15.2 GB
Updated	2025-09-18
Maintainer	nthehai01
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
Model Architecture	Qwen2ForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.49.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 7B Instruct Math Dare Linear 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 Qwen2.5 7B Instruct Math Dare Linear

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 nthehai01/Qwen2.5-7B-Instruct-Math-dare-linear.