What are the hardware requirements for Qwen3 4B Merge Variant 01?

Qwen3 4B Merge Variant 01 requires approximately 16.1 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 Merge Variant 01 and how large is it?

Qwen3 4B Merge Variant 01 is developed by Felladrin, 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 Merge Variant 01?

Qwen3 4B Merge Variant 01 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 4B Merge Variant 01 by Felladrin — VRAM 16.1GB, 40K context

Name: Qwen3 4B Merge Variant 01
Author: Felladrin

Qwen3 4B Merge Variant 01 is an open-source language model by Felladrin. Features: 4b LLM, VRAM: 16.1GB, Context: 40K, License: apache-2.0, Merged, LLM Explorer Score: 0.19.

Merged Model Arxiv:2406.11617 Base model:menlo/jan-nano-128k Base model:mlabonne/qwen3-4b-a... Base model:polaris-project/pol... Base model:valiantlabs/qwen3-4... Conversational Endpoints compatible Qwen3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Felladrin/Qwen3-4B-Merge-Variant-01

Qwen3 4B Merge Variant 01 Parameters and Internals

LLM Name	Qwen3 4B Merge Variant 01
Repository 🤗	https://huggingface.co/Felladrin/Qwen3-4B-Merge-Variant-01
Base Model(s)	Jan Nano 128K Polaris 4B Preview Qwen3 4B Abliterated Qwen3 4B Esper3 Menlo/Jan-nano-128k POLARIS-Project/Polaris-4B-Preview mlabonne/Qwen3-4B-abliterated ValiantLabs/Qwen3-4B-Esper3
Merged Model	Yes
Model Size	4b
Required VRAM	16.1 GB
Updated	2026-04-19
Maintainer	Felladrin
Model Type	qwen3
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 1.1 GB: 4-of-4
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.51.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	float32
Errors	replace

Rank the Qwen3 4B Merge Variant 01 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 Merge Variant 01

Best Alternatives	Context / RAM	Downloads	Likes
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
GRPO 4 70	256K / 8.1 GB	7	0
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
Fable Traces	256K / 8.1 GB	468	210
Lightning 4B	256K / 8.1 GB	13	6
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Qwen3 4B Thinking 2507	256K / 8.1 GB	291023	606
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	1100744	78
Typhoon2.5 Qwen3 4B	256K / 8 GB	489877	6
Neuron 4B Instruct	256K / 8.1 GB	313	1

Note: green Score (e.g. "73.2") means that the model is better than Felladrin/Qwen3-4B-Merge-Variant-01.