What are the hardware requirements for Qwen3 4B MegaR3ASONER V1?

Qwen3 4B MegaR3ASONER V1 requires approximately 8.1 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 4B MegaR3ASONER V1 and how large is it?

Qwen3 4B MegaR3ASONER V1 is developed by RexTRO111, 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 MegaR3ASONER V1?

Qwen3 4B MegaR3ASONER V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 4B MegaR3ASONER V1 by RexTRO111 — VRAM 8.1GB, 256K context

Name: Qwen3 4B MegaR3ASONER V1
Author: RexTRO111

Qwen3 4B MegaR3ASONER V1 is an open-source language model by RexTRO111. Features: 4b LLM, VRAM: 8.1GB, Context: 256K, License: other, LLM Explorer Score: 0.26.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b-think... Bf16 Chain-of-thought Conversational Dataset:huggingfaceh4/bespoke-... Dataset:lordx64/reasoning-dist... Dataset:nvidia/opencodereasoni... Dataset:nvidia/openmathreasoni... Dataset:nvidia/opensciencereas... En Endpoints compatible Merge Qwen Qwen3 Reasoning Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/RexTRO111/Qwen3-4B-MegaR3ASONER-v1

Qwen3 4B MegaR3ASONER V1 Parameters and Internals

LLM Name	Qwen3 4B MegaR3ASONER V1
Repository 🤗	https://huggingface.co/RexTRO111/Qwen3-4B-MegaR3ASONER-v1
Base Model(s)	Qwen3 4B Thinking 2507 Qwen/Qwen3-4B-Thinking-2507
Model Size	4b
Required VRAM	8.1 GB
Updated	2026-07-25
Maintainer	RexTRO111
Model Type	qwen3
Model Files	4.0 GB: 1-of-3 4.0 GB: 2-of-3 0.1 GB: 3-of-3
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	other
Context Length	262144
Model Max Length	262144
Transformers Version	4.57.6
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Qwen3 4B MegaR3ASONER V1 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 MegaR3ASONER V1

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
GRPO 4 70	256K / 8.1 GB	9	0
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
...2.5 Flash Lite Preview Distill	256K / 8.1 GB	31	1
Lightning 4B	256K / 8.1 GB	13	6
Qwen3 4B Thinking 2507	256K / 8.1 GB	291023	606
Fable Traces	256K / 8.1 GB	207	210
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Jamjuri EDGE Preview 100	256K / 8 GB	431	1
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	1100744	78

Note: green Score (e.g. "73.2") means that the model is better than RexTRO111/Qwen3-4B-MegaR3ASONER-v1.