What are the hardware requirements for Qwen2.5 Ultra 1.5B 25.02 Exp?

Qwen2.5 Ultra 1.5B 25.02 Exp requires approximately 3.1 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 Ultra 1.5B 25.02 Exp and how large is it?

Qwen2.5 Ultra 1.5B 25.02 Exp is developed by Xiaojian9992024, 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 Ultra 1.5B 25.02 Exp?

Qwen2.5 Ultra 1.5B 25.02 Exp is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 Ultra 1.5B 25.02 Exp by Xiaojian9992024 — VRAM 3.1GB, 32K context

Name: Qwen2.5 Ultra 1.5B 25.02 Exp
Author: Xiaojian9992024

Qwen2.5 Ultra 1.5B 25.02 Exp is an open-source language model by Xiaojian9992024. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, Merged, LLM Explorer Score: 0.21.

Merged Model Base model:rubenroy/zurich-1.5... Base model:sakanaai/tinyswallo... Conversational Endpoints compatible Qwen2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Xiaojian9992024/Qwen2.5-Ultra-1.5B-25.02-Exp

Qwen2.5 Ultra 1.5B 25.02 Exp Parameters and Internals

LLM Name	Qwen2.5 Ultra 1.5B 25.02 Exp
Repository 🤗	https://huggingface.co/Xiaojian9992024/Qwen2.5-Ultra-1.5B-25.02-Exp
Base Model(s)	SakanaAI/TinySwallow-1.5B-Instruct rubenroy/Zurich-1.5B-GCv2-5m SakanaAI/TinySwallow-1.5B-Instruct rubenroy/Zurich-1.5B-GCv2-5m
Merged Model	Yes
Model Size	1.5b
Required VRAM	3.1 GB
Updated	2026-08-08
Maintainer	Xiaojian9992024
Model Type	qwen2
Model Files	3.1 GB
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.48.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 Ultra 1.5B 25.02 Exp capabilities

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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 Ultra 1.5B 25.02 Exp

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 1.5B 1.3M Stretched	1280K / 3.1 GB	11	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 Xiaojian9992024/Qwen2.5-Ultra-1.5B-25.02-Exp.