What are the hardware requirements for Qwen2.5 Math 7B Instruct RoPE 300K?

Qwen2.5 Math 7B Instruct RoPE 300K requires approximately 15.4 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 Qwen2.5 Math 7B Instruct RoPE 300K and how large is it?

Qwen2.5 Math 7B Instruct RoPE 300K is developed by QizhiPei, 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 Math 7B Instruct RoPE 300K?

Qwen2.5 Math 7B Instruct RoPE 300K is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 Math 7B Instruct RoPE 300K by QizhiPei — VRAM 15.4GB, 32K context

Name: Qwen2.5 Math 7B Instruct RoPE 300K
Author: QizhiPei

Qwen2.5 Math 7B Instruct RoPE 300K is an open-source language model by QizhiPei. Features: 7b LLM, VRAM: 15.4GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.2.

Arxiv:2409.12122 Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-math-7... Chat Conversational En Endpoints compatible Instruct Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/QizhiPei/Qwen2.5-Math-7B-Instruct-RoPE-300k

Qwen2.5 Math 7B Instruct RoPE 300K Parameters and Internals

LLM Name	Qwen2.5 Math 7B Instruct RoPE 300K
Repository 🤗	https://huggingface.co/QizhiPei/Qwen2.5-Math-7B-Instruct-RoPE-300k
Base Model(s)	Qwen/Qwen2.5-Math-7B Qwen/Qwen2.5-Math-7B
Model Size	7b
Required VRAM	15.4 GB
Updated	2026-07-30
Maintainer	QizhiPei
Model Type	qwen2
Instruction-Based	Yes
Model Files	4.0 GB: 1-of-4 3.9 GB: 2-of-4 3.9 GB: 3-of-4 3.6 GB: 4-of-4
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.49.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 Math 7B Instruct RoPE 300K capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Data Analysis and Insight Generation
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Best Alternatives to Qwen2.5 Math 7B Instruct RoPE 300K

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 QizhiPei/Qwen2.5-Math-7B-Instruct-RoPE-300k.