What are the hardware requirements for Qwen2.5 3B R1 Rearc Stage1?

Qwen2.5 3B R1 Rearc Stage1 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 R1 Rearc Stage1 and how large is it?

Qwen2.5 3B R1 Rearc Stage1 is developed by spinech, 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 R1 Rearc Stage1?

Qwen2.5 3B R1 Rearc Stage1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 3B R1 Rearc Stage1 by spinech — VRAM 6.2GB, 32K context

Name: Qwen2.5 3B R1 Rearc Stage1
Author: spinech

Qwen2.5 3B R1 Rearc Stage1 is an open-source language model by spinech. Features: 3b LLM, VRAM: 6.2GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.16.

Arxiv:2402.03300 Ara Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-3b-ins... Conversational Deu Endpoints compatible Eng Fra Generated from trainer Grpo Instruct Ita Jpn Kor Por Qwen2 Region:us Rus Safetensors Sharded Spa Tensorboard Tensorflow Tha Trl Vie Zho

Model Card on HF 🤗: https://huggingface.co/spinech/qwen2.5-3b-r1-rearc-stage1

Qwen2.5 3B R1 Rearc Stage1 Parameters and Internals

LLM Name	Qwen2.5 3B R1 Rearc Stage1
Repository 🤗	https://huggingface.co/spinech/qwen2.5-3b-r1-rearc-stage1
Model Name	qwen-2.5-3b-r1-rearc
Base Model(s)	Qwen/Qwen2.5-3B-Instruct Qwen/Qwen2.5-3B-Instruct
Model Size	3b
Required VRAM	6.2 GB
Updated	2026-05-31
Maintainer	spinech
Model Type	qwen2
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 1.2 GB: 2-of-2 0.0 GB
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.48.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 3B R1 Rearc Stage1 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 R1 Rearc Stage1

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
ResearchMate Qwen2.5 3B	32K / 6.2 GB	66	2

Note: green Score (e.g. "73.2") means that the model is better than spinech/qwen2.5-3b-r1-rearc-stage1.