What are the hardware requirements for Zeta Qwen3 4B Sft?

Zeta Qwen3 4B Sft requires approximately 8.1 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Zeta Qwen3 4B Sft and how large is it?

Zeta Qwen3 4B Sft is developed by someone13574, 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 Zeta Qwen3 4B Sft?

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

Zeta Qwen3 4B Sft by someone13574 — VRAM 8.1GB, 32K context

Name: Zeta Qwen3 4B Sft
Author: someone13574

Zeta Qwen3 4B Sft is an open-source language model by someone13574. Features: 4b LLM, VRAM: 8.1GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.18.

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

Model Card on HF 🤗: https://huggingface.co/someone13574/zeta-qwen3-4b-sft

Zeta Qwen3 4B Sft Parameters and Internals

LLM Name	Zeta Qwen3 4B Sft
Repository 🤗	https://huggingface.co/someone13574/zeta-qwen3-4b-sft
Base Model(s)	Qwen3 4B Base Unsloth Bnb 4bit unsloth/Qwen3-4B-Base-unsloth-bnb-4bit
Model Size	4b
Required VRAM	8.1 GB
Updated	2025-05-19
Maintainer	someone13574
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	32768
Model Max Length	32768
Transformers Version	4.51.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	float16
Errors	replace

Rank the Zeta Qwen3 4B Sft 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 Zeta Qwen3 4B Sft

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	100656	17
Mini Coder 4B OptiQ 4bit	256K / 3 GB	310	1
...wen3 4B Thinking 2507 MLX 4bit	256K / 2.3 GB	53225	14
Qwen3.8 4B Distilled	256K / 8.1 GB	90	0
...wen3 4B Thinking 2507 MLX 8bit	256K / 4.3 GB	44731	8
Qwen3 4B Instruct 2507 4bit	256K / 2.3 GB	40955	11
FastContext 1.0 4B SFT 8bit	256K / 4.3 GB	120	1
...wen 3 4b Mythos Finetune 16bit	256K / 8.1 GB	92	0
EduMentor Qwen3 4B FP16	256K / 8.1 GB	75	1

Note: green Score (e.g. "73.2") means that the model is better than someone13574/zeta-qwen3-4b-sft.