What are the hardware requirements for Qwen3 1.7B GPTQ Int8?

Qwen3 1.7B GPTQ Int8 requires approximately 2.1 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 GPTQ Int8 and how large is it?

Qwen3 1.7B GPTQ Int8 is developed by Qwen, 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 GPTQ Int8?

Qwen3 1.7B GPTQ Int8 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 1.7B GPTQ Int8 by Qwen — VRAM 2.1GB, 40K context

Name: Qwen3 1.7B GPTQ Int8
Author: Qwen

Qwen3 1.7B GPTQ Int8 is an open-source language model by Qwen. Features: 1.7b LLM, VRAM: 2.1GB, Context: 40K, License: apache-2.0, Quantized, LLM Explorer Score: 0.27.

Arxiv:2505.09388 8-bit Base model:quantized:qwen/qwen... Base model:qwen/qwen3-1.7b Conversational Endpoints compatible Gptq Quantized Qwen3 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen3-1.7B-GPTQ-Int8

Qwen3 1.7B GPTQ Int8 Parameters and Internals

LLM Name	Qwen3 1.7B GPTQ Int8
Repository 🤗	https://huggingface.co/Qwen/Qwen3-1.7B-GPTQ-Int8
Base Model(s)	Qwen/Qwen3-1.7B Qwen/Qwen3-1.7B
Model Size	1.7b
Required VRAM	2.1 GB
Updated	2026-06-06
Maintainer	Qwen
Model Type	qwen3
Model Files	2.1 GB
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.51.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	float16
Errors	replace

Rank the Qwen3 1.7B GPTQ Int8 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 GPTQ Int8

Best Alternatives	Context / RAM	Downloads	Likes
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
Qwen3 1.7B 4bit DWQ 053125	40K / 1 GB	596	2
Qwen3 1.7B MLX 8bit	40K / 1.8 GB	610	3
...Qwen3 1.7B Abliterated V1 4bit	40K / 1 GB	862	3
...wen3 1.7B Tamil 16bit Instruct	40K / 3.4 GB	13	0

Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen3-1.7B-GPTQ-Int8.