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

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

DeepSeek R1 Distill Qwen 1.5B is developed by deepseek-ai, 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 DeepSeek R1 Distill Qwen 1.5B?

DeepSeek R1 Distill Qwen 1.5B 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 by deepseek-ai — VRAM 3.5GB, 128K context

Name: DeepSeek R1 Distill Qwen 1.5B
Rating: 2 (1 reviews)
Author: deepseek-ai

DeepSeek R1 Distill Qwen 1.5B is an open-source language model by deepseek-ai. Features: 1.5b LLM, VRAM: 3.5GB, Context: 128K, License: mit, LLM Explorer Score: 0.38.

Arxiv:2501.12948 Conversational Endpoints compatible Qwen2 Region:us Safetensors

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

DeepSeek R1 Distill Qwen 1.5B Benchmarks

LLME Score: 0.37905

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

DeepSeek R1 Distill Qwen 1.5B (deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B)

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DeepSeek R1 Distill Qwen 1.5B Parameters and Internals

LLM Name	DeepSeek R1 Distill Qwen 1.5B
Repository 🤗	https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
Model Size	1.5b
Required VRAM	3.5 GB
Updated	2026-05-19
Maintainer	deepseek-ai
Model Type	qwen2
Model Files	3.5 GB
Model Architecture	Qwen2ForCausalLM
License	mit
Context Length	131072
Model Max Length	131072
Transformers Version	4.44.0
Tokenizer Class	LlamaTokenizerFast
Beginning of Sentence Token	<｜begin▁of▁sentence｜>
End of Sentence Token	<｜end▁of▁sentence｜>
Vocabulary Size	151936
Torch Data Type	bfloat16

Quantized Models of the DeepSeek R1 Distill Qwen 1.5B

Model	Likes	Downloads	VRAM
...Seek R1 Distill Qwen 1.5B GGUF	136	85823	0 GB
OpenThink	0	880	1 GB
...ill Qwen 1.5B Unsloth Bnb 4bit	17	6907	1 GB
...Seek R1 Distill Qwen 1.5B GGUF	6	109	1 GB
... R1 Distill Qwen 1.5B Bnb 4bit	11	3014	1 GB
Dhanishtha	5	56	3 GB
Atlas Flash 1.5B Preview	2	106	3 GB
Atlas Flash 1.5B Preview	2	42	3 GB

Best Alternatives to DeepSeek R1 Distill Qwen 1.5B

Best Alternatives	Context / RAM	Downloads	Likes
ReaderLM V2	500K / 3.1 GB	164134	783
Reader Lm 1.5B	250K / 3.1 GB	602	608
VibeThinker 1.5B	128K / 3.5 GB	2319	521
Ko R1 1.5B Preview	128K / 7.1 GB	15	9
Qwen2.5 1.5B	128K / 3.1 GB	869756	176
Polyalign Qwen2.5 1.5B En Sft	128K / 6.2 GB	40	0
Qwen2 1.5B	128K / 3.1 GB	136737	102
...n Research Reasoning Qwen 1.5B	128K / 7.1 GB	5259	241
OpenReasoning Nemotron 1.5B	128K / 3.1 GB	7934	56
DeepScaleR 1.5B Preview	128K / 7.1 GB	7129	583

Rank the DeepSeek R1 Distill Qwen 1.5B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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

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DeepSeek R1 Distill Qwen 1.5B by deepseek-ai