What are the hardware requirements for Zen 4B?

Zen 4B requires approximately 8 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 Zen 4B and how large is it?

Zen 4B is developed by xysera, 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 Zen 4B?

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

Zen 4B by xysera — VRAM 8GB, 32K context

Name: Zen 4B
Author: xysera

Zen 4B is an open-source language model by xysera. Features: 4b LLM, VRAM: 8GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.34.

Conversational En Endpoints compatible Instruct Instruction-following Qwen3 Reasoning Region:us Safetensors Sharded Tensorflow Xysera Zen

Model Card on HF 🤗: https://huggingface.co/xysera/zen-4b

Zen 4B Parameters and Internals

LLM Name	Zen 4B
Repository 🤗	https://huggingface.co/xysera/zen-4b
Model Size	4b
Required VRAM	8 GB
Updated	2026-11-01
Maintainer	xysera
Model Type	qwen3
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 3.0 GB: 2-of-2
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	5.21.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Zen 4B 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 Zen 4B

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
SRA RiskGate 4B	256K / 8 GB	2662	1
Dwight 4B	256K / 8.1 GB	374	10
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	1100744	78
Kanso Satori 1.0 Bf16	256K / 8 GB	393	0
...orm3200 Impl Verl S11 Step 039	256K / 8.1 GB	580	1
...orm3200 Impl Verl S11 Step 062	256K / 8.1 GB	488	1
Qwen3 4B Deslop V4	256K / 8.1 GB	128	8
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61

Note: green Score (e.g. "73.2") means that the model is better than xysera/zen-4b.