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

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

DeepSeek R1 Distill Qwen 1.5B Sft is developed by bluryar, 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 Sft?

DeepSeek R1 Distill Qwen 1.5B Sft 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 Sft by bluryar — VRAM 3.5GB, 128K context

Name: DeepSeek R1 Distill Qwen 1.5B Sft
Author: bluryar

DeepSeek R1 Distill Qwen 1.5B Sft is an open-source language model by bluryar. Features: 1.5b LLM, VRAM: 3.5GB, Context: 128K, License: other, LLM Explorer Score: 0.16.

Base model:deepseek-ai/deepsee... Base model:finetune:deepseek-a... Conversational Endpoints compatible Full Generated from trainer Llama-factory Qwen2 Region:us Safetensors

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

DeepSeek R1 Distill Qwen 1.5B Sft Parameters and Internals

LLM Name	DeepSeek R1 Distill Qwen 1.5B Sft
Repository 🤗	https://huggingface.co/bluryar/DeepSeek-R1-Distill-Qwen-1.5B-sft
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	2026-08-04
Maintainer	bluryar
Model Type	qwen2
Model Files	3.5 GB 0.0 GB
Model Architecture	Qwen2ForCausalLM
License	other
Context Length	131072
Model Max Length	131072
Transformers Version	4.46.1
Tokenizer Class	LlamaTokenizer
Padding Token	<｜end▁of▁sentence｜>
Vocabulary Size	151936
Torch Data Type	bfloat16

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

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 1.5B 1.3M Stretched	1280K / 3.1 GB	11	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
VibeThinker 1.5B	128K / 3.5 GB	3417	552
Merge Cord V1	128K / 3.1 GB	155	1
...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 bluryar/DeepSeek-R1-Distill-Qwen-1.5B-sft.