What are the hardware requirements for Qwen3 1.7B GGUF?

Qwen3 1.7B GGUF requires approximately 0.5 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 Qwen3 1.7B GGUF and how large is it?

Qwen3 1.7B GGUF is developed by unsloth, 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 Qwen3 1.7B GGUF?

Qwen3 1.7B GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 1.7B GGUF by unsloth — VRAM 0.5GB, 40K context

Name: Qwen3 1.7B GGUF
Author: unsloth

Qwen3 1.7B GGUF is an open-source language model by unsloth. Features: 1.7b LLM, VRAM: 0.5GB, Context: 40K, License: apache-2.0, Quantized, LLM Explorer Score: 0.24.

Base model:quantized:qwen/qwen... Base model:qwen/qwen3-1.7b Conversational En Endpoints compatible Gguf Q2 Quantized Qwen Qwen3 Region:us Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/Qwen3-1.7B-GGUF

Qwen3 1.7B GGUF Parameters and Internals

LLM Name	Qwen3 1.7B GGUF
Repository 🤗	https://huggingface.co/unsloth/Qwen3-1.7B-GGUF
Base Model(s)	Qwen/Qwen3-1.7B Qwen/Qwen3-1.7B
Model Size	1.7b
Required VRAM	0.5 GB
Updated	2026-08-07
Maintainer	unsloth
Model Type	qwen3
Model Files	3.5 GB 1.1 GB 1.0 GB 0.8 GB 0.8 GB 0.9 GB 0.9 GB 1.1 GB 1.1 GB 1.1 GB 1.1 GB 1.3 GB 1.2 GB 1.4 GB 1.8 GB 0.6 GB 0.5 GB 0.7 GB 0.6 GB 0.8 GB 0.8 GB 1.0 GB 1.1 GB 1.3 GB 1.6 GB 2.3 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|q2\|q4_k\|q5_k
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.52.0.dev0
Vocabulary Size	151936
Torch Data Type	bfloat16

Rank the Qwen3 1.7B GGUF 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 Qwen3 1.7B GGUF

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
... Deepseek R1 0528 Distillation	40K / 4 GB	167	3
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 unsloth/Qwen3-1.7B-GGUF.