What are the hardware requirements for Qwen3 1.7B 4bit?

Qwen3 1.7B 4bit 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 4bit and how large is it?

Qwen3 1.7B 4bit is developed by mlx-community, 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 4bit?

Qwen3 1.7B 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 1.7B 4bit by mlx-community — VRAM 1GB, 40K context

Name: Qwen3 1.7B 4bit
Author: mlx-community

Qwen3 1.7B 4bit is an open-source language model by mlx-community. Features: 1.7b LLM, VRAM: 1GB, Context: 40K, License: apache-2.0, Quantized, LLM Explorer Score: 0.22.

4-bit 4bit Base model:quantized:qwen/qwen... Base model:qwen/qwen3-1.7b Conversational Mlx Quantized Qwen3 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/mlx-community/Qwen3-1.7B-4bit

Qwen3 1.7B 4bit Parameters and Internals

LLM Name	Qwen3 1.7B 4bit
Repository 🤗	https://huggingface.co/mlx-community/Qwen3-1.7B-4bit
Base Model(s)	Qwen/Qwen3-1.7B Qwen/Qwen3-1.7B
Model Size	1.7b
Required VRAM	1 GB
Updated	2026-08-02
Maintainer	mlx-community
Model Type	qwen3
Model Files	1.0 GB
Quantization Type	4bit
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 4bit 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 Qwen3 1.7B 4bit

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 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
Qwen3 1.7B MLX 6bit	40K / 1.3 GB	122	3

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Qwen3-1.7B-4bit.