What are the hardware requirements for Qwen 3 4B Text To SQL?

Qwen 3 4B Text To SQL requires approximately 8.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen 3 4B Text To SQL and how large is it?

Qwen 3 4B Text To SQL is developed by Ellbendls, 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 Qwen 3 4B Text To SQL?

Qwen 3 4B Text To SQL is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen 3 4B Text To SQL by Ellbendls — VRAM 8.1GB

Name: Qwen 3 4B Text To SQL
Author: Ellbendls

Qwen 3 4B Text To SQL is an open-source language model by Ellbendls. Features: 4b LLM, VRAM: 8.1GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.2.

Ara Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b-instr... Conversational Dataset:gretelai/synthetic tex... Deu Endpoints compatible Eng Fra Instruct Ita Jpn Kor Lora Por Qwen3 Region:us Rus Safetensors Sharded Spa Tensorflow Tha Vie Zho

Model Card on HF 🤗: https://huggingface.co/Ellbendls/Qwen-3-4b-Text_to_SQL

Qwen 3 4B Text To SQL Parameters and Internals

LLM Name	Qwen 3 4B Text To SQL
Repository 🤗	https://huggingface.co/Ellbendls/Qwen-3-4b-Text_to_SQL
Base Model(s)	Qwen3 4B Instruct 2507 Qwen/Qwen3-4B-Instruct-2507
Model Size	4b
Required VRAM	8.1 GB
Updated	2026-08-01
Maintainer	Ellbendls
Instruction-Based	Yes
Model Files	3.2 GB 5.0 GB: 1-of-2 3.1 GB: 2-of-2
Supported Languages	en
Model Architecture	AutoModelForCausalLM
License	apache-2.0
Model Max Length	262144
Is Biased	none
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|im_end\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	k_proj\|o_proj\|down_proj\|gate_proj\|v_proj\|up_proj\|q_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16
Errors	replace

Rank the Qwen 3 4B Text To SQL 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 Qwen 3 4B Text To SQL

Best Alternatives	Context / RAM	Downloads	Likes
Phi 3 Bangla Instruct	0K / 0.5 GB	8	5