What are the hardware requirements for Qwen2.5 0.5B Open R1 Distill Small?

Qwen2.5 0.5B Open R1 Distill Small 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 Qwen2.5 0.5B Open R1 Distill Small and how large is it?

Qwen2.5 0.5B Open R1 Distill Small is developed by chinmaydk99, 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 Qwen2.5 0.5B Open R1 Distill Small?

Qwen2.5 0.5B Open R1 Distill Small is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 0.5B Open R1 Distill Small by chinmaydk99 — VRAM 1GB, 32K context

Name: Qwen2.5 0.5B Open R1 Distill Small
Author: chinmaydk99

Qwen2.5 0.5B Open R1 Distill Small is an open-source language model by chinmaydk99. Features: 0.5b LLM, VRAM: 1GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.16.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-0.5b-i... Conversational Endpoints compatible Generated from trainer Instruct Qwen2 Region:us Safetensors Sft Trl

Model Card on HF 🤗: https://huggingface.co/chinmaydk99/Qwen2.5-0.5B-Open-R1-Distill-Small

Qwen2.5 0.5B Open R1 Distill Small Parameters and Internals

LLM Name	Qwen2.5 0.5B Open R1 Distill Small
Repository 🤗	https://huggingface.co/chinmaydk99/Qwen2.5-0.5B-Open-R1-Distill-Small
Model Name	Qwen2.5-0.5B-Distill-Fast
Base Model(s)	Qwen/Qwen2.5-0.5B-Instruct Qwen/Qwen2.5-0.5B-Instruct
Model Size	0.5b
Required VRAM	1 GB
Updated	2026-07-19
Maintainer	chinmaydk99
Model Type	qwen2
Instruction-Based	Yes
Model Files	1.0 GB 0.0 GB
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.49.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|im_end\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 0.5B Open R1 Distill Small 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 0.5B Open R1 Distill Small

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2 0.5B Abyme Merge3	128K / 1.3 GB	18	1
Qwen2 0.5B Abyme Merge2	128K / 0.3 GB	15	0
Qwen2.5 0.5B Instruct	64K / 1 GB	16	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
...ext Aware Abstention Qwen 0.5B	32K / 2 GB	48	0

Note: green Score (e.g. "73.2") means that the model is better than chinmaydk99/Qwen2.5-0.5B-Open-R1-Distill-Small.