What are the hardware requirements for ResearchMate Qwen2.5 3B?

ResearchMate Qwen2.5 3B 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 ResearchMate Qwen2.5 3B and how large is it?

ResearchMate Qwen2.5 3B is developed by igmoiiz, 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 ResearchMate Qwen2.5 3B?

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

ResearchMate Qwen2.5 3B by igmoiiz — VRAM 6.2GB, 32K context

Name: ResearchMate Qwen2.5 3B
Author: igmoiiz

ResearchMate Qwen2.5 3B is an open-source language model by igmoiiz. Features: 3b LLM, VRAM: 6.2GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.26.

Academic-assistant Arxiv Base model:adapter:qwen/qwen2.... Base model:qwen/qwen2.5-3b-ins... Conversational Dataset:arxiv Dataset:qiaojin/pubmedqa En Endpoints compatible Instruct Lora Peft Pubmed Qlora Qwen2 Qwen2.5 Region:us Research Safetensors Scientific-literature Sharded Summarization Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/igmoiiz/ResearchMate-Qwen2.5-3B

ResearchMate Qwen2.5 3B Parameters and Internals

LLM Name	ResearchMate Qwen2.5 3B
Repository 🤗	https://huggingface.co/igmoiiz/ResearchMate-Qwen2.5-3B
Base Model(s)	Qwen/Qwen2.5-3B-Instruct Qwen/Qwen2.5-3B-Instruct
Model Size	3b
Required VRAM	6.2 GB
Updated	2026-07-19
Maintainer	igmoiiz
Model Type	qwen2
Instruction-Based	Yes
Model Files	4.0 GB: 1-of-2 2.2 GB: 2-of-2
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	float16
Errors	replace

Rank the ResearchMate Qwen2.5 3B 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 ResearchMate Qwen2.5 3B

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
SmallThinker 3B Preview	32K / 6.8 GB	30529	412
Qwen2.5 3B Haizi	32K / 6.2 GB	74	0
...n2.5 3B FinCode Reasoning Full	32K / 6.2 GB	12	1
LeeChanRX 3B Instruct	32K / 6.2 GB	570	2

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