What are the hardware requirements for Unsloth Qwen3 4B Unsloth Bnb 4bit BookSQL?

Unsloth Qwen3 4B Unsloth Bnb 4bit BookSQL 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 Unsloth Qwen3 4B Unsloth Bnb 4bit BookSQL and how large is it?

Unsloth Qwen3 4B Unsloth Bnb 4bit BookSQL is developed by leeccNLPLAB, 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 Unsloth Qwen3 4B Unsloth Bnb 4bit BookSQL?

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

Unsloth Qwen3 4B Unsloth Bnb 4bit BookSQL by leeccNLPLAB — VRAM 8.1GB, 40K context

Name: Unsloth Qwen3 4B Unsloth Bnb 4bit BookSQL
Author: leeccNLPLAB

Unsloth Qwen3 4B Unsloth Bnb 4bit BookSQL is an open-source language model by leeccNLPLAB. Features: 4b LLM, VRAM: 8.1GB, Context: 40K, License: apache-2.0, Quantized, LLM Explorer Score: 0.18.

4bit Base model:finetune:unsloth/qw... Base model:unsloth/qwen3-4b-un... Conversational En Endpoints compatible Pytorch Quantized Qwen3 Region:us Sft Sharded Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/leeccNLPLAB/unsloth_Qwen3-4B-unsloth-bnb-4bit-BookSQL

Unsloth Qwen3 4B Unsloth Bnb 4bit BookSQL Parameters and Internals

LLM Name	Unsloth Qwen3 4B Unsloth Bnb 4bit BookSQL
Repository 🤗	https://huggingface.co/leeccNLPLAB/unsloth_Qwen3-4B-unsloth-bnb-4bit-BookSQL
Base Model(s)	Qwen3 4B Unsloth Bnb 4bit unsloth/Qwen3-4B-unsloth-bnb-4bit
Model Size	4b
Required VRAM	8.1 GB
Updated	2026-07-07
Maintainer	leeccNLPLAB
Model Type	qwen3
Model Files	5.0 GB: 1-of-2 3.1 GB: 2-of-2
Supported Languages	en
Quantization Type	4bit
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 Unsloth Qwen3 4B Unsloth Bnb 4bit BookSQL 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 Unsloth Qwen3 4B Unsloth Bnb 4bit BookSQL

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 4b Merged Txt	256K / 8.1 GB	535	0
...Instruct 2507 Unsloth Bnb 4bit	256K / 3.5 GB	155962	14
Qwen3.8 4B Distilled	256K / 8.1 GB	90	0
Mini Coder 4B OptiQ 4bit	256K / 3 GB	310	1
FastContext 1.0 4B SFT 8bit	256K / 4.3 GB	120	1
...wen3 4B Thinking 2507 MLX 4bit	256K / 2.3 GB	53225	14
...wen3 4B Thinking 2507 MLX 8bit	256K / 4.3 GB	44731	8
...wen 3 4b Mythos Finetune 16bit	256K / 8.1 GB	92	0
Qwen3 4B Instruct 2507 4bit	256K / 2.3 GB	40955	11
EduMentor Qwen3 4B FP16	256K / 8.1 GB	75	1

Note: green Score (e.g. "73.2") means that the model is better than leeccNLPLAB/unsloth_Qwen3-4B-unsloth-bnb-4bit-BookSQL.