What are the hardware requirements for Qwen2.5 Math 1.5B 16K Think?

Qwen2.5 Math 1.5B 16K Think requires approximately 3.1 GB of VRAM and supports a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen2.5 Math 1.5B 16K Think and how large is it?

Qwen2.5 Math 1.5B 16K Think is developed by RoadQAQ, a model with 1.5b 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 1.5B 16K Think?

Qwen2.5 Math 1.5B 16K Think is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 Math 1.5B 16K Think by RoadQAQ — VRAM 3.1GB, 16K context

Name: Qwen2.5 Math 1.5B 16K Think
Author: RoadQAQ

Qwen2.5 Math 1.5B 16K Think is an open-source language model by RoadQAQ. Features: 1.5b LLM, VRAM: 3.1GB, Context: 16K, License: mit, LLM Explorer Score: 0.19.

Arxiv:2506.07527 Conversational Endpoints compatible Qwen2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/RoadQAQ/Qwen2.5-Math-1.5B-16k-think

Qwen2.5 Math 1.5B 16K Think Parameters and Internals

LLM Name	Qwen2.5 Math 1.5B 16K Think
Repository 🤗	https://huggingface.co/RoadQAQ/Qwen2.5-Math-1.5B-16k-think
Model Size	1.5b
Required VRAM	3.1 GB
Updated	2026-07-18
Maintainer	RoadQAQ
Model Type	qwen2
Model Files	3.1 GB
Model Architecture	Qwen2ForCausalLM
License	mit
Context Length	16384
Model Max Length	16384
Transformers Version	4.44.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 Math 1.5B 16K Think 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 Math 1.5B 16K Think

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 1.5B 1.3M Stretched	1280K / 3.1 GB	6	0
ReaderLM V2	500K / 3.1 GB	35356	804
Reader Lm 1.5B	250K / 3.1 GB	385	608
DeepSeek R1 Distill Qwen 1.5B	128K / 3.5 GB	600051	1545
Ko R1 1.5B Preview	128K / 7.1 GB	8	9
Qwen2.5 1.5B	128K / 3.1 GB	863295	203
VibeThinker 1.5B	128K / 3.5 GB	3417	552
Merge Cord V1	128K / 3.1 GB	155	1
...FT Tulu3 Decontaminated Masked	128K / 3.1 GB	167	0
Qwen2 1.5B	128K / 3.1 GB	195380	102

Note: green Score (e.g. "73.2") means that the model is better than RoadQAQ/Qwen2.5-Math-1.5B-16k-think.