What are the hardware requirements for OpenR1 Distill 0.6B?

OpenR1 Distill 0.6B requires approximately 1.2 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 OpenR1 Distill 0.6B and how large is it?

OpenR1 Distill 0.6B is developed by 90dkn0ws, a model with 0.6b 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 OpenR1 Distill 0.6B?

OpenR1 Distill 0.6B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

OpenR1 Distill 0.6B by 90dkn0ws — VRAM 1.2GB, 32K context

Name: OpenR1 Distill 0.6B
Author: 90dkn0ws

OpenR1 Distill 0.6B is an open-source language model by 90dkn0ws. Features: 0.6b LLM, VRAM: 1.2GB, Context: 32K, LLM Explorer Score: 0.18.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-0.6b-bas... Conversational Dataset:open-r1/mixture-of-tho... Endpoints compatible Generated from trainer Open-r1 Qwen3 Region:us Safetensors Sft Trl

Model Card on HF 🤗: https://huggingface.co/90dkn0ws/OpenR1-Distill-0.6B

OpenR1 Distill 0.6B Parameters and Internals

LLM Name	OpenR1 Distill 0.6B
Repository 🤗	https://huggingface.co/90dkn0ws/OpenR1-Distill-0.6B
Model Name	OpenR1-Distill-0.6B
Base Model(s)	Qwen/Qwen3-0.6B-Base Qwen/Qwen3-0.6B-Base
Model Size	0.6b
Required VRAM	1.2 GB
Updated	2026-09-16
Maintainer	90dkn0ws
Model Type	qwen3
Model Files	1.2 GB 0.0 GB
Model Architecture	Qwen3ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.52.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the OpenR1 Distill 0.6B 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 OpenR1 Distill 0.6B

Best Alternatives	Context / RAM	Downloads	Likes
S1 Mini	40K / 1.5 GB	1136	180
Qwen3 Reranker 0.6B	40K / 1.2 GB	2508313	377
Qwen3 0.6B JSON SFT	40K / 1.2 GB	428	1
RIFA Edge 0.6B	40K / 1.2 GB	581	0
Qwen3 0.6B FP8	40K / 1.1 GB	1581403	62
Meridian Ac Nano	40K / 1.2 GB	570	1
Qwen3 0.6B JSON SFT	40K / 1.2 GB	1676	0
Blake Haiku 1	40K / 1.2 GB	386	0
Tenorio 0.6B	40K / 1.2 GB	251	2
Quipu 0.6B	40K / 1.2 GB	351	4

Note: green Score (e.g. "73.2") means that the model is better than 90dkn0ws/OpenR1-Distill-0.6B.