What are the hardware requirements for Qwen2 Math 2B Instruct?

Qwen2 Math 2B Instruct requires approximately 4.3 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen2 Math 2B Instruct and how large is it?

Qwen2 Math 2B Instruct is developed by mergekit-community, a model with 2b 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 Math 2B Instruct?

Qwen2 Math 2B Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2 Math 2B Instruct by mergekit-community — VRAM 4.3GB, 4K context

Name: Qwen2 Math 2B Instruct
Author: mergekit-community

Qwen2 Math 2B Instruct is an open-source language model by mergekit-community. Features: 2b LLM, VRAM: 4.3GB, Context: 4K, Instruction-Based, Merged, LLM Explorer Score: 0.14.

Merged Model Base model:finetune:qwen/qwen2... Base model:qwen/qwen2-math-1.5... Conversational Endpoints compatible Instruct Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mergekit-community/Qwen2-Math-2B-Instruct

Qwen2 Math 2B Instruct Parameters and Internals

Additional Notes

This model is a merge of pre-trained language models created using mergekit. The passthrough merge method was used for the merge.

LLM Name	Qwen2 Math 2B Instruct
Repository 🤗	https://huggingface.co/mergekit-community/Qwen2-Math-2B-Instruct
Base Model(s)	Qwen/Qwen2-Math-1.5B-Instruct Qwen/Qwen2-Math-1.5B-Instruct
Merged Model	Yes
Model Size	2b
Required VRAM	4.3 GB
Updated	2026-06-26
Maintainer	mergekit-community
Model Type	qwen2
Instruction-Based	Yes
Model Files	4.3 GB: 1-of-1
Model Architecture	Qwen2ForCausalLM
Context Length	4096
Model Max Length	4096
Transformers Version	4.42.4
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2 Math 2B Instruct 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 Math 2B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
OpenRHO 2B Thinker	128K / 3.5 GB	7	2
Qwen2.5 2B Instruct	32K / 5.9 GB	12	1
Carrot Ko 2B Instruct	32K / 4.2 GB	17	1

Note: green Score (e.g. "73.2") means that the model is better than mergekit-community/Qwen2-Math-2B-Instruct.