What are the hardware requirements for Qwen3 1.7B W2A16 GPTQ Trace?

Qwen3 1.7B W2A16 GPTQ Trace requires approximately 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 W2A16 GPTQ Trace and how large is it?

Qwen3 1.7B W2A16 GPTQ Trace is developed by Minguinho-zeze, 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 W2A16 GPTQ Trace?

Qwen3 1.7B W2A16 GPTQ Trace is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 1.7B W2A16 GPTQ Trace by Minguinho-zeze — VRAM 1GB, 40K context

Name: Qwen3 1.7B W2A16 GPTQ Trace
Author: Minguinho-zeze

Qwen3 1.7B W2A16 GPTQ Trace is an open-source language model by Minguinho-zeze. Features: 1.7b LLM, VRAM: 1GB, Context: 40K, License: apache-2.0, Quantized, LLM Explorer Score: 0.31.

Base model:quantized:qwen/qwen... Base model:qwen/qwen3-1.7b Compressed-tensors Conversational Gptq Quantization Quantized Qwen3 Region:us Safetensors Vllm W2a16

Model Card on HF 🤗: https://huggingface.co/Minguinho-zeze/Qwen3-1.7B-W2A16-GPTQ-Trace

Qwen3 1.7B W2A16 GPTQ Trace Parameters and Internals

LLM Name	Qwen3 1.7B W2A16 GPTQ Trace
Repository 🤗	https://huggingface.co/Minguinho-zeze/Qwen3-1.7B-W2A16-GPTQ-Trace
Base Model(s)	Qwen/Qwen3-1.7B Qwen/Qwen3-1.7B
Model Size	1.7b
Required VRAM	1 GB
Updated	2026-11-09
Maintainer	Minguinho-zeze
Model Type	qwen3
Model Files	1.0 GB
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.51.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3 1.7B W2A16 GPTQ Trace 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

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Qwen3 1.7B GPTQ Int8	40K / 2.1 GB	517163	7
Qwen3 1.7B GPTQ Safetensors	40K / 1.5 GB	13	0
Qwen3 1.7B MLX 4bit	64K / 0.9 GB	868	4
Unsloth Qwen3 1.7B Finetune V1	40K / 3.4 GB	281	0
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Distill 1.7B 4bit MLX	40K / 1.1 GB	179	0
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