What are the hardware requirements for Phi 3 Mini 128K Instruct Onnx?

Phi 3 Mini 128K Instruct Onnx requires 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 Mini 128K Instruct Onnx and how large is it?

Phi 3 Mini 128K Instruct Onnx is developed by microsoft. 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 Mini 128K Instruct Onnx?

Phi 3 Mini 128K Instruct Onnx is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Phi 3 Mini 128K Instruct Onnx by microsoft — 128K context

Name: Phi 3 Mini 128K Instruct Onnx
Author: microsoft

Phi 3 Mini 128K Instruct Onnx is an open-source language model by microsoft. Features: LLM, Context: 128K, License: mit, Instruction-Based, LLM Explorer Score: 0.13.

Arxiv:2306.00978 Conversational Custom code Dml Instruct Onnx Onnxruntime Phi3 Region:us

Model Card on HF 🤗: https://huggingface.co/microsoft/Phi-3-mini-128k-instruct-onnx

Phi 3 Mini 128K Instruct Onnx Parameters and Internals

Model Type

ONNX

Use Cases

Areas:

research, commercial applications

Applications:

NLP, conversational AI

Primary Use Cases:

instruction adherence, generative AI

Additional Notes

Prioritize precision suitable for target devices; Acc-level models balance latency vs. accuracy.

Input Output

Input Format:

ONNX format to run with ONNX Runtime on CPU, GPU, and mobile.

Accepted Modalities:

text

Output Format:

Generative text outputs.

Performance Tips:

Optimized configurations are available for int4 DML, fp16 CUDA, int4 CUDA, CPU, and Mobile.

LLM Name	Phi 3 Mini 128K Instruct Onnx
Repository 🤗	https://huggingface.co/microsoft/Phi-3-mini-128k-instruct-onnx
Updated	2026-07-29
Maintainer	microsoft
Model Type	phi3
Instruction-Based	Yes
Model Architecture	Phi3ForCausalLM
License	mit
Context Length	131072
Model Max Length	131072
Transformers Version	4.39.3
Vocabulary Size	32064
Torch Data Type	bfloat16

Rank the Phi 3 Mini 128K Instruct Onnx capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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 Phi 3 Mini 128K Instruct Onnx

Best Alternatives	Context / RAM	Downloads	Likes
Phi 4 Mini Instruct ONNX GQA	128K / GB	47	6
Phi 3.5 Mini Instruct Onnx	128K / GB	138	39
Phi 3.5 Mini Instruct Onnx Web	128K / GB	407	15
...i 3 Mini 128K Instruct Ov Int4	128K / 2 GB	8	0
...Medium 128K Instruct Onnx Cuda	128K / GB	82	24
... Medium 128K Instruct Onnx Cpu	128K / GB	84	14
...um 128K Instruct Onnx Directml	128K / GB	89	6
...3 Mini 128K Instruct Asym Int4	128K / 2.5 GB	122	0
Meeting Model Phi3 128k	128K / 7.7 GB	5	0
Model1	128K / 0.8 GB	20	0

Note: green Score (e.g. "73.2") means that the model is better than microsoft/Phi-3-mini-128k-instruct-onnx.