What are the hardware requirements for Qwen3 4B ORPO Advertisement?

Qwen3 4B ORPO Advertisement requires approximately 8.1 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 4B ORPO Advertisement and how large is it?

Qwen3 4B ORPO Advertisement is developed by yothinS, 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 4B ORPO Advertisement?

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

Qwen3 4B ORPO Advertisement by yothinS — VRAM 8.1GB, 40K context

Name: Qwen3 4B ORPO Advertisement
Author: yothinS

Qwen3 4B ORPO Advertisement is an open-source language model by yothinS. Features: 4b LLM, VRAM: 8.1GB, Context: 40K, License: mit, LLM Explorer Score: 0.29.

Advertisement Advertisement-analysis Advertising-strategy Audience-targeting Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b Campaign-optimization Conversational Conversion-rate-optimization Dataset:yothins/advertisement ... Digital-marketing En Endpoints compatible English Finetuned Marketing Marketing-analytics Orpo Performance-marketing Qwen3 Qwen3-4b Region:us Safetensors Sharded Tensorflow Th Thai

Model Card on HF 🤗: https://huggingface.co/yothinS/Qwen3-4B-ORPO-Advertisement

Qwen3 4B ORPO Advertisement Parameters and Internals

LLM Name	Qwen3 4B ORPO Advertisement
Repository 🤗	https://huggingface.co/yothinS/Qwen3-4B-ORPO-Advertisement
Base Model(s)	Qwen/Qwen3-4B Qwen/Qwen3-4B
Model Size	4b
Required VRAM	8.1 GB
Updated	2026-10-15
Maintainer	yothinS
Model Type	qwen3
Model Files	5.0 GB: 1-of-2 3.1 GB: 2-of-2
Supported Languages	en th
Model Architecture	Qwen3ForCausalLM
License	mit
Context Length	40960
Model Max Length	40960
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3 4B ORPO Advertisement 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 4B ORPO Advertisement

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
GRPO 4 70	256K / 8.1 GB	12	0
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
...2.5 Flash Lite Preview Distill	256K / 8.1 GB	31	1
SRA RiskGate 4B	256K / 8 GB	2662	1
Lightning 4B	256K / 8.1 GB	13	6
Qwen3 4B Thinking 2507	256K / 8.1 GB	291023	606
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	1100744	78
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Mgi Assistant V1 Qwen3 4B	256K / 8.1 GB	669	1

Note: green Score (e.g. "73.2") means that the model is better than yothinS/Qwen3-4B-ORPO-Advertisement.