What are the hardware requirements for DeepSeek R1 Distill Qwen 1.5B Multilingual?

DeepSeek R1 Distill Qwen 1.5B Multilingual 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 DeepSeek R1 Distill Qwen 1.5B Multilingual and how large is it?

DeepSeek R1 Distill Qwen 1.5B Multilingual is developed by lightblue, a model with 70b 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 DeepSeek R1 Distill Qwen 1.5B Multilingual?

DeepSeek R1 Distill Qwen 1.5B Multilingual is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

DeepSeek R1 Distill Qwen 1.5B Multilingual by lightblue — VRAM 3.5GB, 128K context

Name: DeepSeek R1 Distill Qwen 1.5B Multilingual
Author: lightblue

DeepSeek R1 Distill Qwen 1.5B Multilingual is an open-source language model by lightblue. Features: 70b LLM, VRAM: 3.5GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.17.

Am Ar Bn Cs Dataset:lightblue/reasoning-mu... De El En Es Fa Fr Ha He Hi Id It Ja Jv Km Ko Lo Mr Ms Nl Pl Pt Qwen2 Reasoning Region:us Ro Ru Safetensors Sv Sw Ta Te Th Tl Tr Uk Ur Vi Zh

Model Card on HF 🤗: https://huggingface.co/lightblue/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual

DeepSeek R1 Distill Qwen 1.5B Multilingual Parameters and Internals

LLM Name	DeepSeek R1 Distill Qwen 1.5B Multilingual
Repository 🤗	https://huggingface.co/lightblue/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual
Model Size	70b
Required VRAM	3.5 GB
Updated	2026-08-07
Maintainer	lightblue
Model Type	qwen2
Model Files	3.5 GB 0.0 GB
Supported Languages	am ar bn zh cs nl en fr de el ha he hi id it ja jv km ko lo ms mr fa pl pt ro ru es sw sv tl ta te th tr uk ur vi
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.48.1
Tokenizer Class	LlamaTokenizer
Padding Token	<｜end▁of▁sentence｜>
Vocabulary Size	151936
Torch Data Type	bfloat16

Rank the DeepSeek R1 Distill Qwen 1.5B Multilingual 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 DeepSeek R1 Distill Qwen 1.5B Multilingual

Best Alternatives	Context / RAM	Downloads	Likes
Jais Inception 70B V1.2	128K / 80.1 GB	2203	2
Jais Inception 70B V1.1	128K / 146 GB	2215	0
T1 1.5B	32K / 3.6 GB	26	1

Note: green Score (e.g. "73.2") means that the model is better than lightblue/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual.