What are the hardware requirements for Qwen 3 1.7B Deepseek R1 0528 Distillation?

Qwen 3 1.7B Deepseek R1 0528 Distillation requires approximately 4 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen 3 1.7B Deepseek R1 0528 Distillation and how large is it?

Qwen 3 1.7B Deepseek R1 0528 Distillation is developed by ertghiu256, a model with 1.7b 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 Qwen 3 1.7B Deepseek R1 0528 Distillation?

Qwen 3 1.7B Deepseek R1 0528 Distillation is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen 3 1.7B Deepseek R1 0528 Distillation by ertghiu256 — VRAM 4GB, 40K context

Name: Qwen 3 1.7B Deepseek R1 0528 Distillation
Author: ertghiu256

Qwen 3 1.7B Deepseek R1 0528 Distillation is an open-source language model by ertghiu256. Features: 1.7b LLM, VRAM: 4GB, Context: 40K, Quantized, LLM Explorer Score: 0.19.

Base model:quantized:qwen/qwen... Base model:qwen/qwen3-1.7b Conversational Dataset:psm24/g2-5-p-110 Dataset:sequelbox/celestia3-de... Endpoints compatible Gguf Q4 Quantized Qwen3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/ertghiu256/Qwen-3-1.7b-deepseek-r1-0528-distillation

Qwen 3 1.7B Deepseek R1 0528 Distillation Parameters and Internals

LLM Name	Qwen 3 1.7B Deepseek R1 0528 Distillation
Repository 🤗	https://huggingface.co/ertghiu256/Qwen-3-1.7b-deepseek-r1-0528-distillation
Base Model(s)	Qwen/Qwen3-1.7B Qwen/Qwen3-1.7B
Model Size	1.7b
Required VRAM	4 GB
Updated	2026-08-03
Maintainer	ertghiu256
Model Type	qwen3
Model Files	3.4 GB: 1-of-2 0.6 GB: 2-of-2 1.3 GB 2.2 GB
GGUF Quantization	Yes
Quantization Type	gguf\|q4\|q4_k
Model Architecture	Qwen3ForCausalLM
Context Length	40960
Model Max Length	40960
Transformers Version	4.53.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	float16
Errors	replace

Rank the Qwen 3 1.7B Deepseek R1 0528 Distillation 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 Qwen 3 1.7B Deepseek R1 0528 Distillation

Best Alternatives	Context / RAM	Downloads	Likes
Nanomind Security Analyst	40K / 1.1 GB	564	4
Qwen3 1.7B Gsm8k Sft	40K / 1.8 GB	476	3
Qwen3 1.7B GGUF	40K / 0.5 GB	39955	69
Qwen3 1.7B Mixture Of Thought	40K / 4 GB	114	3
Qwen3 1.7B MLX 4bit	64K / 0.9 GB	868	4
Unsloth Qwen3 1.7B Finetune V1	40K / 3.4 GB	281	0
Distill 1.7B 4bit MLX	40K / 1.1 GB	179	0
Qwen3 1.7B Unsloth Bnb 4bit	40K / 1.4 GB	53710	12
Qwen3 1.7B 4bit	40K / 1 GB	14082	6
Qwen3 1.7B Bnb 4bit	40K / 1.4 GB	3227	5

Note: green Score (e.g. "73.2") means that the model is better than ertghiu256/Qwen-3-1.7b-deepseek-r1-0528-distillation.