What are the hardware requirements for Qwen3.5 4B QuantStudy RTN W4A16?

Qwen3.5 4B QuantStudy RTN W4A16 requires approximately 3.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.5 4B QuantStudy RTN W4A16 and how large is it?

Qwen3.5 4B QuantStudy RTN W4A16 is developed by matchachoco, a model with 4b 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 Qwen3.5 4B QuantStudy RTN W4A16?

Qwen3.5 4B QuantStudy RTN W4A16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.5 4B QuantStudy RTN W4A16 by matchachoco — VRAM 3.8GB

Name: Qwen3.5 4B QuantStudy RTN W4A16
Author: matchachoco

Qwen3.5 4B QuantStudy RTN W4A16 is an open-source language model by matchachoco. Features: 4b LLM, VRAM: 3.8GB, License: apache-2.0, LLM Explorer Score: 0.31.

Base model:quantized:qwen/qwen... Base model:qwen/qwen3.5-4b Compressed-tensors Conversational En Endpoints compatible Evaluation Image-text-to-text Ko Quantization Qwen3 5 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/matchachoco/Qwen3.5-4B-QuantStudy-RTN-W4A16

Qwen3.5 4B QuantStudy RTN W4A16 Parameters and Internals

LLM Name	Qwen3.5 4B QuantStudy RTN W4A16
Repository 🤗	https://huggingface.co/matchachoco/Qwen3.5-4B-QuantStudy-RTN-W4A16
Base Model(s)	Qwen/Qwen3.5-4B Qwen/Qwen3.5-4B
Model Size	4b
Required VRAM	3.8 GB
Updated	2026-09-25
Maintainer	matchachoco
Model Type	qwen3_5
Model Files	3.8 GB
Supported Languages	ko en
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.14.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.5 4B QuantStudy RTN W4A16 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 Qwen3.5 4B QuantStudy RTN W4A16

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.5 4B	0K / 9.3 GB	6575502	801
NuExtract3	0K / 0.2 GB	441570	324
Agents A1 4B	0K / 9.1 GB	177578	72
APUS OpenJev V1 4B	0K / 9.1 GB	665	4
Qwen3.5 4B Base	0K / 9.3 GB	227814	79
CogEvol 4B	0K / 9.1 GB	838	27
Qwen3.8 4B Distill	0K / 9.3 GB	1878	26
Fara1.5 4B	0K / 9.1 GB	4934	39
Qwen3.5 4B	0K / 9.3 GB	139961	26
Qweble Sol 4B MLX	0K / 8.5 GB	535	1

Note: green Score (e.g. "73.2") means that the model is better than matchachoco/Qwen3.5-4B-QuantStudy-RTN-W4A16.