What are the hardware requirements for DeepScaleR 1.5B Preview?

DeepScaleR 1.5B Preview requires approximately 7.1 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 DeepScaleR 1.5B Preview and how large is it?

DeepScaleR 1.5B Preview is developed by agentica-org, 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 DeepScaleR 1.5B Preview?

DeepScaleR 1.5B Preview is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

DeepScaleR 1.5B Preview by agentica-org — VRAM 7.1GB, 128K context

Name: DeepScaleR 1.5B Preview
Author: agentica-org

DeepScaleR 1.5B Preview is an open-source language model by agentica-org. Features: 1.5b LLM, VRAM: 7.1GB, Context: 128K, License: mit, LLM Explorer Score: 0.23.

Base model:deepseek-ai/deepsee... Base model:finetune:deepseek-a... Dataset:ai-mo/numinamath-cot Dataset:hendrycks/competition ... Dataset:kbsdjames/omni-math Dataset:ruc-aibox/still-3-prev... En Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/agentica-org/DeepScaleR-1.5B-Preview

DeepScaleR 1.5B Preview Parameters and Internals

LLM Name	DeepScaleR 1.5B Preview
Repository 🤗	https://huggingface.co/agentica-org/DeepScaleR-1.5B-Preview
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	7.1 GB
Updated	2026-08-07
Maintainer	agentica-org
Model Type	qwen2
Model Files	5.0 GB: 1-of-2 2.1 GB: 2-of-2
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	mit
Context Length	131072
Model Max Length	131072
Transformers Version	4.47.1
Tokenizer Class	LlamaTokenizer
Padding Token	<｜end▁of▁sentence｜>
Vocabulary Size	151936
Torch Data Type	float32

Rank the DeepScaleR 1.5B Preview 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

Quantized Models of the DeepScaleR 1.5B Preview

Model	Likes	Downloads	VRAM
Mini Cogito R1	5	11	3 GB

Best Alternatives to DeepScaleR 1.5B Preview

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 1.5B 1.3M Stretched	1280K / 3.1 GB	18	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
Pulsar Coder V1	128K / 3.1 GB	291	1
MLR Executor Qwen 1.5B	128K / 3.5 GB	503	0
Axiom Python 1.5B	128K / 3.1 GB	312	0
Ko R1 1.5B Preview	128K / 7.1 GB	8	9
...2 1.5B Lora Tensorboard Merged	128K / 3.1 GB	127	1
Qwen2.5 1.5B	128K / 3.1 GB	863295	203

Note: green Score (e.g. "73.2") means that the model is better than agentica-org/DeepScaleR-1.5B-Preview.