What are the hardware requirements for Warrior Qwen3.5 4B?

Warrior Qwen3.5 4B requires approximately 9.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Warrior Qwen3.5 4B and how large is it?

Warrior Qwen3.5 4B is developed by yotisstudios, 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 Warrior Qwen3.5 4B?

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

Warrior Qwen3.5 4B by yotisstudios — VRAM 9.1GB

Name: Warrior Qwen3.5 4B
Author: yotisstudios

Warrior Qwen3.5 4B is an open-source language model by yotisstudios. Features: 4b LLM, VRAM: 9.1GB, LLM Explorer Score: 0.24.

Base model:finetune:lazarus-ai... Base model:lazarus-ai/realigne... Conversational Dataset:yotisstudios/warrior-s... Endpoints compatible Grimoire Image-text-to-text Merlina Qwen3 5 Region:us Safetensors Sft Vision Vision-language-model

Model Card on HF 🤗: https://huggingface.co/yotisstudios/Warrior-Qwen3.5-4B

Warrior Qwen3.5 4B Parameters and Internals

LLM Name	Warrior Qwen3.5 4B
Repository 🤗	https://huggingface.co/yotisstudios/Warrior-Qwen3.5-4B
Base Model(s)	Lazarus-Ai/ReAligned-Qwen3.5-4B Lazarus-Ai/ReAligned-Qwen3.5-4B
Model Size	4b
Required VRAM	9.1 GB
Updated	2026-08-20
Maintainer	yotisstudios
Model Type	qwen3_5
Model Files	9.1 GB
Model Architecture	Qwen3_5ForConditionalGeneration
Model Max Length	262144
Transformers Version	5.14.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Warrior Qwen3.5 4B 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 Warrior Qwen3.5 4B

Best Alternatives	Context / RAM	Downloads	Likes
AgentHorse 4B	256K / 8.4 GB	878	7
Qwen3.5 4B	0K / 9.3 GB	6575502	801
LightOnOCR 3 4B	0K / 9.1 GB	2395	71
NuExtract3	0K / 0.2 GB	441570	324
Agents A1 4B	0K / 9.1 GB	177578	72
FrogNano 4B 2609	0K / 9.3 GB	733	113
Intern Decision 4B	0K / 0.1 GB	338	48
Mizan V3 3B	0K / 0.1 GB	46	14
Tev1 4B Experimental	0K / 9.3 GB	1539	16
Qwen3.5 4B Base	0K / 9.3 GB	227814	79

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