What are the hardware requirements for Nanbeige4.3 33B Mixed NVFP4 FP8?

Nanbeige4.3 33B Mixed NVFP4 FP8 requires approximately 4.6 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 Mixed NVFP4 FP8 and how large is it?

Nanbeige4.3 33B Mixed NVFP4 FP8 is developed by primitive-ai, 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 Mixed NVFP4 FP8?

Nanbeige4.3 33B Mixed NVFP4 FP8 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Nanbeige4.3 33B Mixed NVFP4 FP8 by primitive-ai — VRAM 4.6GB, 512K context

Name: Nanbeige4.3 33B Mixed NVFP4 FP8
Author: primitive-ai

Nanbeige4.3 33B Mixed NVFP4 FP8 is an open-source language model by primitive-ai. Features: 33b LLM, VRAM: 4.6GB, Context: 512K, License: apache-2.0, LLM Explorer Score: 0.31.

8-bit Agentic Base model:nanbeige/nanbeige4.... Base model:quantized:nanbeige/... Compressed-tensors Conversational En Fp8 Llama Mixed-precision Nanbeige Nvfp4 Quantized Reasoning Region:us Safetensors Single-gpu Tool-calling Vllm Zh

Model Card on HF 🤗: https://huggingface.co/primitive-ai/Nanbeige4.3-33B-mixed-NVFP4-FP8

Nanbeige4.3 33B Mixed NVFP4 FP8 Parameters and Internals

LLM Name	Nanbeige4.3 33B Mixed NVFP4 FP8
Repository 🤗	https://huggingface.co/primitive-ai/Nanbeige4.3-33B-mixed-NVFP4-FP8
Base Model(s)	Nanbeige/Nanbeige4.3-33B Nanbeige/Nanbeige4.3-33B
Model Size	33b
Required VRAM	4.6 GB
Updated	2026-10-28
Maintainer	primitive-ai
Model Type	llama
Model Files	4.6 GB 4.9 GB 4.9 GB 4.6 GB 6.3 GB
Supported Languages	en zh
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

Rank the Nanbeige4.3 33B Mixed NVFP4 FP8 capabilities

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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 Nanbeige4.3 33B Mixed NVFP4 FP8

Best Alternatives	Context / RAM	Downloads	Likes
Nanbeige4.3 33B	512K / 66.3 GB	4785	655
Nanbeige4.3 33B NVFP4	512K / 22.1 GB	537	20
Nanbeige4.3 33B OQ4e	512K / 19.4 GB	894	3
Nanbeige4.3 33B FP8	512K / 4.7 GB	396	2
Nanbeige4.3 33B NVFP4	512K / 4.7 GB	870	0
Nanbeige4.3 33B NVFP4 A16	512K / 22.1 GB	279	1
Nanbeige4.3 33B OQ6e	512K / 27.7 GB	326	1
...anbeige4.3 33B W4A16 AutoRound	512K / 20.8 GB	278	1
Nanbeige4.3 33B EXL3 2.5bpw	512K / 14.4 GB	275	1
Nanbeige 4.3 33B Heretic	512K / 65.9 GB	471	0

Note: green Score (e.g. "73.2") means that the model is better than primitive-ai/Nanbeige4.3-33B-mixed-NVFP4-FP8.