What are the hardware requirements for Open RS1?

Open RS1 requires approximately 3.5 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Open RS1 and how large is it?

Open RS1 is developed by knoveleng, 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 Open RS1?

Open RS1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Open RS1 by knoveleng — VRAM 3.5GB, 128K context

Name: Open RS1
Author: knoveleng

Open RS1 is an open-source language model by knoveleng. Features: 1.5b LLM, VRAM: 3.5GB, Context: 128K, License: mit, LLM Explorer Score: 0.17.

Base model:deepseek-ai/deepsee... Base model:finetune:deepseek-a... Conversational Dataset:knoveleng/open-deepsca... Dataset:knoveleng/open-rs Dataset:knoveleng/open-s1 Endpoints compatible Qwen2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/knoveleng/Open-RS1

Open RS1 Parameters and Internals

LLM Name	Open RS1
Repository 🤗	https://huggingface.co/knoveleng/Open-RS1
Base Model(s)	deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
Model Size	1.5b
Required VRAM	3.5 GB
Updated	2026-08-07
Maintainer	knoveleng
Model Type	qwen2
Model Files	3.5 GB 0.0 GB
Model Architecture	Qwen2ForCausalLM
License	mit
Context Length	131072
Model Max Length	131072
Transformers Version	4.49.0
Tokenizer Class	LlamaTokenizerFast
Padding Token	<｜end▁of▁sentence｜>
Vocabulary Size	151936
Torch Data Type	bfloat16

Rank the Open RS1 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 Open RS1

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 1.5B 1.3M Stretched	1280K / 3.1 GB	10	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
Merge Cord V1	128K / 3.1 GB	155	1
VibeThinker 1.5B	128K / 3.5 GB	3417	552
...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 knoveleng/Open-RS1.