What are the hardware requirements for Zeta 2?

Zeta 2 requires approximately 1.9 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 2 and how large is it?

Zeta 2 is developed by DiamondGotCat, a model with 464m 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 2?

Zeta 2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Zeta 2 by DiamondGotCat — VRAM 1.9GB, 32K context

Name: Zeta 2
Author: DiamondGotCat

Zeta 2 is an open-source language model by DiamondGotCat. Features: 464m LLM, VRAM: 1.9GB, Context: 32K, License: mit, LLM Explorer Score: 0.18.

Ara Conversational Dataset:diamondgotcat/zeta-2-d... Deu Eng Fra Ita Jpn Kor Por Qwen2 Region:us Rus Safetensors Spa Tha Vie Zho

Model Card on HF 🤗: https://huggingface.co/Zeta-DGC/Zeta-2

Zeta 2 Parameters and Internals

LLM Name	Zeta 2
Repository 🤗	https://huggingface.co/Zeta-DGC/Zeta-2
Model Size	464m
Required VRAM	1.9 GB
Updated	2026-08-25
Maintainer	DiamondGotCat
Model Type	qwen2
Model Files	1.9 GB
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	mit
Context Length	32768
Model Max Length	32768
Transformers Version	4.50.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	float32
Errors	replace

Rank the Zeta 2 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 2

Best Alternatives	Context / RAM	Downloads	Likes
Zeta 2	32K / 1.9 GB	45	3
Zeta 2	32K / 1.9 GB	22	3
Quark 464M V0.1.alpha	32K / 1.9 GB	9	4
...ind NuExtract Tiny 15 Examples	32K / 1.9 GB	7	0
...n Scratch Base Checkpoint 1000	32K / 1.9 GB	6	0
...52 Xxx Cobol For Ai QwenSFTDPO	32K / 1.9 GB	5	0
Qwen Qwen1.5 0.5B1716489573	32K / 0.9 GB	7	0

Note: green Score (e.g. "73.2") means that the model is better than Zeta-DGC/Zeta-2.