What are the hardware requirements for Qwen2.5 3B Intuitor MATH 1EPOCH?

Qwen2.5 3B Intuitor MATH 1EPOCH requires approximately 6.8 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 Intuitor MATH 1EPOCH and how large is it?

Qwen2.5 3B Intuitor MATH 1EPOCH is developed by sunblaze-ucb, 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 Intuitor MATH 1EPOCH?

Qwen2.5 3B Intuitor MATH 1EPOCH is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 3B Intuitor MATH 1EPOCH by sunblaze-ucb — VRAM 6.8GB, 32K context

Name: Qwen2.5 3B Intuitor MATH 1EPOCH
Author: sunblaze-ucb

Qwen2.5 3B Intuitor MATH 1EPOCH is an open-source language model by sunblaze-ucb. Features: 3b LLM, VRAM: 6.8GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.18.

Arxiv:2505.19590 Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-3b Conversational Dataset:math En Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/sunblaze-ucb/Qwen2.5-3B-Intuitor-MATH-1EPOCH

Qwen2.5 3B Intuitor MATH 1EPOCH Parameters and Internals

LLM Name	Qwen2.5 3B Intuitor MATH 1EPOCH
Repository 🤗	https://huggingface.co/sunblaze-ucb/Qwen2.5-3B-Intuitor-MATH-1EPOCH
Base Model(s)	Qwen/Qwen2.5-3B Qwen/Qwen2.5-3B
Model Size	3b
Required VRAM	6.8 GB
Updated	2026-08-05
Maintainer	sunblaze-ucb
Model Type	qwen2
Model Files	5.0 GB: 1-of-2 1.8 GB: 2-of-2
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.50.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 3B Intuitor MATH 1EPOCH capabilities

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Instruction Following and Task Automation
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Data Analysis and Insight Generation
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Note: green Score (e.g. "73.2") means that the model is better than sunblaze-ucb/Qwen2.5-3B-Intuitor-MATH-1EPOCH.