What are the hardware requirements for Qwen2.5 Ultra 1.5B 25.02 Exp V0.2?

Qwen2.5 Ultra 1.5B 25.02 Exp V0.2 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 V0.2 and how large is it?

Qwen2.5 Ultra 1.5B 25.02 Exp V0.2 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 V0.2?

Qwen2.5 Ultra 1.5B 25.02 Exp V0.2 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 V0.2 by Xiaojian9992024 — VRAM 3.1GB, 32K context

Name: Qwen2.5 Ultra 1.5B 25.02 Exp V0.2
Author: Xiaojian9992024

Qwen2.5 Ultra 1.5B 25.02 Exp V0.2 is an open-source language model by Xiaojian9992024. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, Instruction-Based, Merged, LLM Explorer Score: 0.17.

Merged Model Arxiv:2306.01708 Base model:cutelemonlili/qwen2... Base model:uwnsl/qwen2.5-1.5b-... Base model:xiaojian9992024/qwe... Conversational Endpoints compatible Instruct Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Xiaojian9992024/Qwen2.5-Ultra-1.5B-25.02-Exp-v0.2

Qwen2.5 Ultra 1.5B 25.02 Exp V0.2 Parameters and Internals

LLM Name	Qwen2.5 Ultra 1.5B 25.02 Exp V0.2
Repository 🤗	https://huggingface.co/Xiaojian9992024/Qwen2.5-Ultra-1.5B-25.02-Exp-v0.2
Base Model(s)	cutelemonlili/Qwen2.5-1.5B-Instruct_MATH_training_response_Qwen2.5_14B Xiaojian9992024/Qwen2.5-Ultra-1.5B-25.02-Exp UWNSL/Qwen2.5-1.5B-Instruct_Short_CoT cutelemonlili/Qwen2.5-1.5B-Instruct_MATH_training_response_Qwen2.5_14B Xiaojian9992024/Qwen2.5-Ultra-1.5B-25.02-Exp UWNSL/Qwen2.5-1.5B-Instruct_Short_CoT
Merged Model	Yes
Model Size	1.5b
Required VRAM	3.1 GB
Updated	2026-08-02
Maintainer	Xiaojian9992024
Model Type	qwen2
Instruction-Based	Yes
Model Files	3.1 GB: 1-of-1
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	float16
Errors	replace

Rank the Qwen2.5 Ultra 1.5B 25.02 Exp V0.2 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

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... Abliterated TIES Qwen2.5 1.5B	128K / 3.5 GB	15	0
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GCIRS Reasoning 1.5B R1	128K / 3.5 GB	9	1
...illed Scout 1.5B Instruct Gen1	128K / 3.5 GB	10	0

Note: green Score (e.g. "73.2") means that the model is better than Xiaojian9992024/Qwen2.5-Ultra-1.5B-25.02-Exp-v0.2.