What are the hardware requirements for Smoothie Qwen2.5 0.5B Instruct?

Smoothie Qwen2.5 0.5B Instruct requires approximately 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 Smoothie Qwen2.5 0.5B Instruct and how large is it?

Smoothie Qwen2.5 0.5B Instruct is developed by dnotitia, a model with 0.5b 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 Smoothie Qwen2.5 0.5B Instruct?

Smoothie Qwen2.5 0.5B Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Smoothie Qwen2.5 0.5B Instruct by dnotitia — VRAM 1GB, 32K context

Name: Smoothie Qwen2.5 0.5B Instruct
Author: dnotitia

Smoothie Qwen2.5 0.5B Instruct is an open-source language model by dnotitia. Features: 0.5b LLM, VRAM: 1GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.18.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-0.5b-i... Chat Conversation Conversational Dnotitia En Endpoints compatible Instruct Qwen2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/dnotitia/Smoothie-Qwen2.5-0.5B-Instruct

Smoothie Qwen2.5 0.5B Instruct Parameters and Internals

LLM Name	Smoothie Qwen2.5 0.5B Instruct
Repository 🤗	https://huggingface.co/dnotitia/Smoothie-Qwen2.5-0.5B-Instruct
Base Model(s)	Qwen/Qwen2.5-0.5B-Instruct Qwen/Qwen2.5-0.5B-Instruct
Model Size	0.5b
Required VRAM	1 GB
Updated	2026-05-27
Maintainer	dnotitia
Model Type	qwen2
Instruction-Based	Yes
Model Files	1.0 GB
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.50.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Smoothie Qwen2.5 0.5B Instruct 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 Smoothie Qwen2.5 0.5B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2 0.5B Abyme Merge3	128K / 1.3 GB	15	1
Qwen2 0.5B Abyme Merge2	128K / 0.3 GB	12	0
Qwen2.5 0.5B Instruct	64K / 1 GB	16	0
Rifa Nano 0.5B	32K / 1 GB	703	0
Qwen2.5 0.5B Instruct	32K / 1 GB	6324790	572
Pulsar AI Final	32K / 1 GB	185	2
Chichu 2.0 500M Instruct	32K / 1 GB	212	2
Sakthai Context 0.5B Tools	32K / 1 GB	474	0
Qwen R1 0.5B	32K / 1 GB	202	2
Veda Labs 0.5B Instruct Base	32K / 1 GB	30	2

Note: green Score (e.g. "73.2") means that the model is better than dnotitia/Smoothie-Qwen2.5-0.5B-Instruct.