What are the hardware requirements for Phi 3.5 Vision Instruct 8bit?

Phi 3.5 Vision Instruct 8bit requires approximately 4.4 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Phi 3.5 Vision Instruct 8bit and how large is it?

Phi 3.5 Vision Instruct 8bit is developed by mlx-community, a model with 1.2b 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 Phi 3.5 Vision Instruct 8bit?

Phi 3.5 Vision Instruct 8bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Phi 3.5 Vision Instruct 8bit by mlx-community — VRAM 4.4GB, 128K context

Name: Phi 3.5 Vision Instruct 8bit
Author: mlx-community

Phi 3.5 Vision Instruct 8bit is an open-source language model by mlx-community. Features: 1.2b LLM, VRAM: 4.4GB, Context: 128K, License: mit, Quantized, Instruction-Based, LLM Explorer Score: 0.14.

8bit Code Conversational Custom code Instruct Mlx Multilingual Phi3 v Quantized Region:us Safetensors Vision

Model Card on HF 🤗: https://huggingface.co/mlx-community/Phi-3.5-vision-instruct-8bit

Phi 3.5 Vision Instruct 8bit Parameters and Internals

Model Type

nlp, code, vision, mlx

Additional Notes

This model was converted to MLX format using mlx-vlm version 0.0.13.

Supported Languages

languages (multilingual)

LLM Name	Phi 3.5 Vision Instruct 8bit
Repository 🤗	https://huggingface.co/mlx-community/Phi-3.5-vision-instruct-8bit
Model Size	1.2b
Required VRAM	4.4 GB
Updated	2026-08-07
Maintainer	mlx-community
Model Type	phi3_v
Instruction-Based	Yes
Model Files	4.4 GB
Quantization Type	8bit
Model Architecture	Phi3VForCausalLM
License	mit
Context Length	131072
Model Max Length	131072
Transformers Version	4.38.1
Tokenizer Class	LlamaTokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	32064
Torch Data Type	bfloat16

Rank the Phi 3.5 Vision Instruct 8bit 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

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