What are the hardware requirements for RuadaptQwen3 4B Instruct?

RuadaptQwen3 4B Instruct requires approximately 8 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 RuadaptQwen3 4B Instruct and how large is it?

RuadaptQwen3 4B Instruct is developed by RefalMachine, 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 RuadaptQwen3 4B Instruct?

RuadaptQwen3 4B Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

RuadaptQwen3 4B Instruct by RefalMachine — VRAM 8GB, 256K context

Name: RuadaptQwen3 4B Instruct
Author: RefalMachine

RuadaptQwen3 4B Instruct is an open-source language model by RefalMachine. Features: 4b LLM, VRAM: 8GB, Context: 256K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.21.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b-instr... Dataset:dichspace/darulm Dataset:huggingfacefw/fineweb-... Dataset:refalmachine/ruadapt i... En Instruct Qwen3 Region:us Ru Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/RefalMachine/RuadaptQwen3-4B-Instruct

RuadaptQwen3 4B Instruct Parameters and Internals

LLM Name	RuadaptQwen3 4B Instruct
Repository 🤗	https://huggingface.co/RefalMachine/RuadaptQwen3-4B-Instruct
Base Model(s)	Qwen3 4B Instruct 2507 Qwen/Qwen3-4B-Instruct-2507
Model Size	4b
Required VRAM	8 GB
Updated	2026-07-22
Maintainer	RefalMachine
Model Type	qwen3
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 3.0 GB: 2-of-2
Supported Languages	ru en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	4.51.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	146260
Torch Data Type	bfloat16
Errors	replace

Rank the RuadaptQwen3 4B Instruct 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 RuadaptQwen3 4B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
Fable Traces	256K / 8.1 GB	5530	209
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	1100744	78
Neuron 4B Instruct	256K / 8.1 GB	313	1
Tac 1	256K / 8.1 GB	774	0
Nexa AI 4B Instruct	256K / 8 GB	576	2
Agents K1	256K / 8.8 GB	1098	28
FastContext 1.0 4B SFT	256K / 8.1 GB	273	18

Note: green Score (e.g. "73.2") means that the model is better than RefalMachine/RuadaptQwen3-4B-Instruct.