What are the hardware requirements for Qwen3 4B Code Reasoning?

Qwen3 4B Code Reasoning 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 Code Reasoning and how large is it?

Qwen3 4B Code Reasoning is developed by ertghiu256, 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 Code Reasoning?

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

Qwen3 4B Code Reasoning by ertghiu256 — VRAM 8.1GB, 40K context

Name: Qwen3 4B Code Reasoning
Author: ertghiu256

Qwen3 4B Code Reasoning is an open-source language model by ertghiu256. Features: 4b LLM, VRAM: 8.1GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.18.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b Code Coding Conversational Cot Dataset:nvidia/opencodereasoni... Dataset:vicgalle/creative-rubr... Pytorch Qwen3 Reasoning Region:us Sft Sharded Think Thinking Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/ertghiu256/qwen3-4b-code-reasoning

Qwen3 4B Code Reasoning Parameters and Internals

LLM Name	Qwen3 4B Code Reasoning
Repository 🤗	https://huggingface.co/ertghiu256/qwen3-4b-code-reasoning
Base Model(s)	Qwen3 4B Qwen/Qwen3-4B unsloth/Qwen3-4B Qwen/Qwen3-4B
Model Size	4b
Required VRAM	8.1 GB
Updated	2026-06-17
Maintainer	ertghiu256
Model Type	qwen3
Model Files	5.0 GB: 1-of-2 3.1 GB: 2-of-2
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.51.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	float16
Errors	replace

Rank the Qwen3 4B Code Reasoning capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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 Code Reasoning

Best Alternatives	Context / RAM	Downloads	Likes
GRPO 4 70	256K / 8.1 GB	14	0
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
...2.5 Flash Lite Preview Distill	256K / 8.1 GB	31	1
Lightning 4B	256K / 8.1 GB	13	6
Fable Traces	256K / 8.1 GB	358	210
Qwen3 4B Thinking 2507	256K / 8.1 GB	291023	606
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	1100744	78
...fetensors.chatgpt GPT Codex V2	256K / 8.1 GB	666	2

Note: green Score (e.g. "73.2") means that the model is better than ertghiu256/qwen3-4b-code-reasoning.