What are the hardware requirements for InternVL3 78B Instruct GGUF?

InternVL3 78B Instruct GGUF requires approximately 2.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed InternVL3 78B Instruct GGUF and how large is it?

InternVL3 78B Instruct GGUF is developed by unsloth, a model with 78b 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 InternVL3 78B Instruct GGUF?

InternVL3 78B Instruct GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

InternVL3 78B Instruct GGUF by unsloth — VRAM 2.1GB

Name: InternVL3 78B Instruct GGUF
Author: unsloth

InternVL3 78B Instruct GGUF is an open-source language model by unsloth. Features: 78b LLM, VRAM: 2.1GB, License: other, Quantized, Instruction-Based, LLM Explorer Score: 0.2.

Arxiv:2312.14238 Arxiv:2404.16821 Arxiv:2411.10442 Arxiv:2412.05271 Arxiv:2412.09616 Arxiv:2504.10479 Base model:finetune:opengvlab/... Base model:opengvlab/internvl3... Conversational Custom code Endpoints compatible Feature-extraction Gguf Image-text-to-text Imatrix Instruct Internvl Internvl chat Multilingual Q2 Quantized Region:us Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/InternVL3-78B-Instruct-GGUF

InternVL3 78B Instruct GGUF Parameters and Internals

LLM Name	InternVL3 78B Instruct GGUF
Repository 🤗	https://huggingface.co/unsloth/InternVL3-78B-Instruct-GGUF
Base Model(s)	InternVL3 78B Instruct OpenGVLab/InternVL3-78B-Instruct
Model Size	78b
Required VRAM	2.1 GB
Updated	2026-08-10
Maintainer	unsloth
Model Type	internvl_chat
Instruction-Based	Yes
Model Files	41.3 GB 39.7 GB 29.8 GB 30.1 GB 37.7 GB 34.5 GB 45.7 GB 47.4 GB 43.9 GB 2.2 GB 2.1 GB 29.6 GB 25.7 GB 31.9 GB 30.3 GB 38.3 GB 47.3 GB 11.4 GB 11.4 GB 22.8 GB
GGUF Quantization	Yes
Quantization Type	gguf\|q2\|q4_k
Model Architecture	InternVLChatModel
License	other
Torch Data Type	bfloat16

Rank the InternVL3 78B Instruct GGUF 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 InternVL3 78B Instruct GGUF

Best Alternatives	Context / RAM	Downloads	Likes
InternVL3 78B	0K / 157.4 GB	15801	239
InternVL3 78B Instruct	0K / 157.4 GB	736	8

Note: green Score (e.g. "73.2") means that the model is better than unsloth/InternVL3-78B-Instruct-GGUF.