What are the hardware requirements for Qwen3 4B Instruct 2507 Sft Full?

Qwen3 4B Instruct 2507 Sft Full 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 Instruct 2507 Sft Full and how large is it?

Qwen3 4B Instruct 2507 Sft Full is developed by Nofing, 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 Instruct 2507 Sft Full?

Qwen3 4B Instruct 2507 Sft Full is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 4B Instruct 2507 Sft Full by Nofing — VRAM 8.1GB, 256K context

Name: Qwen3 4B Instruct 2507 Sft Full
Author: Nofing

Qwen3 4B Instruct 2507 Sft Full is an open-source language model by Nofing. Features: 4b LLM, VRAM: 8.1GB, Context: 256K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.19.

4bit Autotrain compatible Conversational En Endpoints compatible Instruct Quantized Qwen3 Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/Nofing/qwen3-4B-Instruct-2507-sft-full

Qwen3 4B Instruct 2507 Sft Full Parameters and Internals

LLM Name	Qwen3 4B Instruct 2507 Sft Full
Repository 🤗	https://huggingface.co/Nofing/qwen3-4B-Instruct-2507-sft-full
Base Model(s)	unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit
Model Size	4b
Required VRAM	8.1 GB
Updated	2025-09-23
Maintainer	Nofing
Model Type	qwen3
Instruction-Based	Yes
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	262144
Model Max Length	262144
Transformers Version	4.54.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3 4B Instruct 2507 Sft Full capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Text Generation
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Best Alternatives to Qwen3 4B Instruct 2507 Sft Full

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
...wen 3 4b Mythos Finetune 16bit	256K / 8.1 GB	92	0
Qwen3 4B Instruct 2507 4bit	256K / 2.3 GB	40955	11
Qwen3 4B INST Code	256K / 8.1 GB	12	0
Qwen3 4B INST Math	256K / 8.1 GB	11	0
...Instruct Haiku 4.5 Merged FP16	256K / 8.1 GB	16	1
Agent 4b	256K / 8.1 GB	16	0
...wen3 4B Instruct 2507 Bnb 4bit	256K / 2.6 GB	6833	5
Jan V3 4B Base Instruct 4bit	256K / 2.3 GB	279	2

Note: green Score (e.g. "73.2") means that the model is better than Nofing/qwen3-4B-Instruct-2507-sft-full.