What are the hardware requirements for Qwen2.5 3B MATH CV GRPO?

Qwen2.5 3B MATH CV GRPO requires approximately 6.2 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 Qwen2.5 3B MATH CV GRPO and how large is it?

Qwen2.5 3B MATH CV GRPO is developed by cheongmyeong17, a model with 3b 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 3B MATH CV GRPO?

Qwen2.5 3B MATH CV GRPO is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 3B MATH CV GRPO by cheongmyeong17 — VRAM 6.2GB, 32K context

Name: Qwen2.5 3B MATH CV GRPO
Author: cheongmyeong17

Qwen2.5 3B MATH CV GRPO is an open-source language model by cheongmyeong17. Features: 3b LLM, VRAM: 6.2GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.19.

Arxiv:2402.03300 Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-3b-ins... Conversational Dataset:jhn9803/hendrycks-math... Endpoints compatible Generated from trainer Instruct Open-r1 Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/cheongmyeong17/Qwen2.5-3B-MATH-CV_GRPO

Qwen2.5 3B MATH CV GRPO Parameters and Internals

LLM Name	Qwen2.5 3B MATH CV GRPO
Repository 🤗	https://huggingface.co/cheongmyeong17/Qwen2.5-3B-MATH-CV_GRPO
Base Model(s)	Qwen/Qwen2.5-3B-Instruct Qwen/Qwen2.5-3B-Instruct
Model Size	3b
Required VRAM	6.2 GB
Updated	2026-07-13
Maintainer	cheongmyeong17
Model Type	qwen2
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 1.2 GB: 2-of-2 0.0 GB
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.52.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 3B MATH CV GRPO 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 Qwen2.5 3B MATH CV GRPO

Best Alternatives	Context / RAM	Downloads	Likes
VibeThinker 3B	128K / 6.2 GB	52745	806
VibeThinker 3B	128K / 6.2 GB	361	0
Saba2 3B	128K / 6.2 GB	6	0
Tessa T1 3B	117K / 6.2 GB	10	5
UIGEN T1.5 3B	117K / 6.2 GB	7	1
Qwen2.5 3B Instruct	32K / 6.2 GB	5889234	545
...er 3B Instruct Spider Sft Grpo	32K / 6.2 GB	506	1
...2.5 3B Instruct SFT In WebShop	32K / 6.8 GB	347	1
SmallThinker 3B Preview	32K / 6.8 GB	30529	412
Qwen2.5 3B Haizi	32K / 6.2 GB	74	0

Note: green Score (e.g. "73.2") means that the model is better than cheongmyeong17/Qwen2.5-3B-MATH-CV_GRPO.