What are the hardware requirements for DeepSeek R1 Distill Qwen 1.5B 500?

DeepSeek R1 Distill Qwen 1.5B 500 requires approximately 1.7 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 500 and how large is it?

DeepSeek R1 Distill Qwen 1.5B 500 is developed by NikolaSigmoid, 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 500?

DeepSeek R1 Distill Qwen 1.5B 500 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 500 by NikolaSigmoid — VRAM 1.7GB, 128K context

Name: DeepSeek R1 Distill Qwen 1.5B 500
Author: NikolaSigmoid

DeepSeek R1 Distill Qwen 1.5B 500 is an open-source language model by NikolaSigmoid. Features: 1.5b LLM, VRAM: 1.7GB, Context: 128K, License: apache-2.0, Quantized, LLM Explorer Score: 0.17.

4-bit 4bit Bitsandbytes Conversational En Endpoints compatible Grpo Quantized Qwen2 Region:us Safetensors Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/NikolaSigmoid/DeepSeek-R1-Distill-Qwen-1.5B-500

DeepSeek R1 Distill Qwen 1.5B 500 Parameters and Internals

LLM Name	DeepSeek R1 Distill Qwen 1.5B 500
Repository 🤗	https://huggingface.co/NikolaSigmoid/DeepSeek-R1-Distill-Qwen-1.5B-500
Base Model(s)	unsloth/deepseek-r1-distill-qwen-1.5b-bnb-4bit unsloth/deepseek-r1-distill-qwen-1.5b-bnb-4bit
Model Size	1.5b
Required VRAM	1.7 GB
Updated	2026-07-04
Maintainer	NikolaSigmoid
Model Type	qwen2
Model Files	1.7 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.49.0
Tokenizer Class	LlamaTokenizerFast
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	float16

Rank the DeepSeek R1 Distill Qwen 1.5B 500 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 500

Best Alternatives	Context / RAM	Downloads	Likes
VibeThinker 1.5B Mlx 4bit	128K / 0.9 GB	1055	26
...ill Qwen 1.5B Unsloth Bnb 4bit	128K / 1.8 GB	11066	16
Eval Model	128K / 7.1 GB	9	1
DeepSeek R1 ForumNXT	128K / 3.5 GB	8	0
Research PathfinderAI	128K / 3.5 GB	19	0
...en 1.5B Trained Alvin0616 Fork	128K / 3.5 GB	17	0
... R1 Distill Qwen 1.5B Bnb 4bit	128K / 1.6 GB	2008	11
Umbr0x 1.5B V3.1 16bit 2	128K / 15.2 GB	19	0
Qwen2 1.5B SFT 16bit Alpha	128K / 3.1 GB	8	0
Deep Ft8 Grp 16bit	128K / 3.5 GB	7	0

Note: green Score (e.g. "73.2") means that the model is better than NikolaSigmoid/DeepSeek-R1-Distill-Qwen-1.5B-500.