What are the hardware requirements for Zeta 2.1 Mlx Mixed 3 4bit?

Zeta 2.1 Mlx Mixed 3 4bit requires approximately 4.3 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 2.1 Mlx Mixed 3 4bit and how large is it?

Zeta 2.1 Mlx Mixed 3 4bit is developed by stratorys, a model with 8.3b 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 2.1 Mlx Mixed 3 4bit?

Zeta 2.1 Mlx Mixed 3 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Zeta 2.1 Mlx Mixed 3 4bit by stratorys — VRAM 4.3GB, 32K context

Name: Zeta 2.1 Mlx Mixed 3 4bit
Author: stratorys

Zeta 2.1 Mlx Mixed 3 4bit is an open-source language model by stratorys. Features: 8.3b LLM, VRAM: 4.3GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.29.

4-bit 4bit Apple-silicon Base model:quantized:zed-indus... Base model:zed-industries/zeta... Edit-prediction En Endpoints compatible Llama Mlx Next-edit-suggestion Quantized Region:us Safetensors Zed

Model Card on HF 🤗: https://huggingface.co/stratorys/zeta-2.1-mlx-mixed-3-4bit

Zeta 2.1 Mlx Mixed 3 4bit Parameters and Internals

LLM Name	Zeta 2.1 Mlx Mixed 3 4bit
Repository 🤗	https://huggingface.co/stratorys/zeta-2.1-mlx-mixed-3-4bit
Base Model(s)	zed-industries/zeta-2.1 zed-industries/zeta-2.1
Model Size	8.3b
Required VRAM	4.3 GB
Updated	2026-09-21
Maintainer	stratorys
Model Type	llama
Model Files	4.3 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.57.3
Tokenizer Class	TokenizersBackend
Padding Token	<[PAD▁TOKEN]>
Vocabulary Size	155136
Torch Data Type	bfloat16

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