What are the hardware requirements for Nanbeige4.3 33B MLX 4bit?

Nanbeige4.3 33B MLX 4bit requires approximately 18.6 GB of VRAM and supports a context window of 512K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Nanbeige4.3 33B MLX 4bit and how large is it?

Nanbeige4.3 33B MLX 4bit is developed by pratikgx, a model with 33b 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 Nanbeige4.3 33B MLX 4bit?

Nanbeige4.3 33B MLX 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Nanbeige4.3 33B MLX 4bit by pratikgx — VRAM 18.6GB, 512K context

Name: Nanbeige4.3 33B MLX 4bit
Author: pratikgx

Nanbeige4.3 33B MLX 4bit is an open-source language model by pratikgx. Features: 33b LLM, VRAM: 18.6GB, Context: 512K, License: apache-2.0, Quantized, LLM Explorer Score: 0.37.

4-bit 4bit Apple-silicon Base model:nanbeige/nanbeige4.... Base model:quantized:nanbeige/... Conversational Llama Mlx Nanbeige Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/pratikgx/Nanbeige4.3-33B-MLX-4bit

Nanbeige4.3 33B MLX 4bit Parameters and Internals

LLM Name	Nanbeige4.3 33B MLX 4bit
Repository 🤗	https://huggingface.co/pratikgx/Nanbeige4.3-33B-MLX-4bit
Base Model(s)	Nanbeige/Nanbeige4.3-33B Nanbeige/Nanbeige4.3-33B
Model Size	33b
Required VRAM	18.6 GB
Updated	2026-10-28
Maintainer	pratikgx
Model Type	llama
Model Files	5.4 GB: 1-of-4 5.3 GB: 2-of-4 5.3 GB: 3-of-4 2.6 GB: 4-of-4
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	524288
Model Max Length	524288
Transformers Version	4.51.1
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	166912
Torch Data Type	bfloat16

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Instruction Following and Task Automation
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