What are the hardware requirements for Qwen3 4B Base Dapo V4?

Qwen3 4B Base Dapo V4 requires approximately 8.1 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 4B Base Dapo V4 and how large is it?

Qwen3 4B Base Dapo V4 is developed by ReliquaryForge, 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 Base Dapo V4?

Qwen3 4B Base Dapo V4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 4B Base Dapo V4 by ReliquaryForge — VRAM 8.1GB, 32K context

Name: Qwen3 4B Base Dapo V4
Author: ReliquaryForge

Qwen3 4B Base Dapo V4 is an open-source language model by ReliquaryForge. Features: 4b LLM, VRAM: 8.1GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.4.

Arxiv:2505.09388 Conversational Endpoints compatible Qwen3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/ReliquaryForge/qwen3-4b-base-dapo-v4

Qwen3 4B Base Dapo V4 Parameters and Internals

LLM Name	Qwen3 4B Base Dapo V4
Repository 🤗	https://huggingface.co/ReliquaryForge/qwen3-4b-base-dapo-v4
Model Size	4b
Required VRAM	8.1 GB
Updated	2026-09-11
Maintainer	ReliquaryForge
Model Type	qwen3
Model Files	4.0 GB: 1-of-3 4.0 GB: 2-of-3 0.1 GB: 3-of-3 8.0 GB
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	5.9.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Qwen3 4B Base Dapo V4 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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