Indian Flag
Government Of India
A-
A
A+
ORGANISATION

microsoft/Phi-3-vision-128k-instruct

Phi-3-vision-128k-instruct is a state-of-the-art multimodal model by Microsoft, designed to process both text and visual inputs with a context length of up to 128,000 tokens.

About Model

As part of the Phi-3 model family, Phi-3-vision-128k-instruct combines text and vision modalities to perform complex reasoning tasks across large contexts. The model is trained on high-quality, reasoning-rich datasets, including synthetic data and filtered publicly available web content. It has undergone supervised fine-tuning and direct preference optimization to enhance instruction-following accuracy and safety. Phi-3-vision-128k-instruct excels in tasks such as image captioning, visual question answering, and document analysis. The model is available on platforms like Hugging Face and Azure AI Foundry, supporting applications that require deep multimodal comprehension.

microsoft/Phi-3-vision-128k-instruct

Metadata Metadata

MIT

Microsoft

Multimodal Language Model

N.A.

Open

Sector Agnostic

12/03/25 06:35:30

0

Activity Overview Activity Overview

  • Downloads0
  • Redirect 9
  • File Size 0
  • Views 239

Tags Tags

  • Reasoning
  • Transformers
  • NLP
  • Microsoft
  • Multimodal
  • Text Generation
  • Visual Question Answering
  • Image-to-Text
  • Long Context

License Control License Control

MIT

More Models from Microsoft Corporation (India) Pvt. Ltd. More Models from Microsoft Corporation (India) Pvt. Ltd.

Phi-1.5 - Lightweight Transformer Model for Text Generation and Coding
A 1.3B parameter Transformer model trained on structured QA, NLP tasks, and Python code, optimized for text generation, summarization, and creative writing, with no fine-tuning from human feedback.
Code Generation
Microsoft
NLP
Transformers
Reasoning
Instruction Following
  • See Upvoters0
  • Downloads31
  • File Size0
  • Views1,512
Updated 1 month(s) ago

MICROSOFT CORPORATION (INDIA) PVT. LTD.

Phi-3-Mini-4K-Instruct - Lightweight AI Model for Reasoning and Efficient AI Applications
A 3.8B parameter AI model optimized for memory-efficient reasoning, instruction following, and long-context processing, designed for compute-constrained environments and latency-sensitive applications.
Transformers
Reasoning
Instruction Following
Text Generation
Microsoft
NLP
  • See Upvoters0
  • Downloads10
  • File Size0
  • Views231
Updated 1 month(s) ago

MICROSOFT CORPORATION (INDIA) PVT. LTD.

Phi-4-Mini-Instruct - Lightweight Multilingual AI Model
A lightweight AI model optimized for multilingual text generation, reasoning, and instruction adherence, designed for memory-efficient applications and generative AI tasks.
Function Calling
Transformers
Microsoft
NLP
Text Generation
Instruction Following
Reasoning
Math
Coding
  • See Upvoters0
  • Downloads16
  • File Size0
  • Views381
Updated 1 month(s) ago

MICROSOFT CORPORATION (INDIA) PVT. LTD.

TAPEX: Large SQL Execution Model (Table Pre-training via Learning a Neural SQL Executor)
A large-sized TAPEX model pre-trained to simulate neural SQL execution, enabling the execution of SQL queries on given tables.
TAPEX
SQLExecution
Transformers
BART
NeuralExecutor
DataRetrieval
PreTrainedModel
  • See Upvoters0
  • Downloads6
  • File Size0
  • Views270
Updated 1 year(s) ago

MICROSOFT CORPORATION (INDIA) PVT. LTD.

TAPEX: Large Model (Table Pre-training via Learning a Neural SQL Executor)
A large-sized pre-trained model designed to enhance table-based question answering and fact verification tasks.
FactVerification
PreTrainedModel
BART
LargeModel
TableQuestionAnswering
  • See Upvoters0
  • Downloads5
  • File Size0
  • Views214
Updated 1 year(s) ago

MICROSOFT CORPORATION (INDIA) PVT. LTD.

TAPEX: TabFact Data enabled Large Finetuned (Table Pre-training via Learning a Neural SQL Executor) Model
A large-sized TAPEX model fine-tuned on the TabFact dataset, designed to enhance performance in table-based fact verification tasks.
FactVerification
TAPEX
TabFact
FineTunedModel
DataValidation
BART
Transformers
NaturalLanguageProcessing
  • See Upvoters0
  • Downloads6
  • File Size0
  • Views182
Updated 1 year(s) ago

MICROSOFT CORPORATION (INDIA) PVT. LTD.

TAPEX (Table Pre-training via Learning a Neural SQL Executor) Large Finetuned Model
A large-sized TAPEX model fine-tuned on the WikiTableQuestions dataset, designed to enhance performance in table-based question answering tasks.
TableQuestionAnswering
TAPEX
WikiTableQuestions
FineTunedModel
DataExtraction
BART
Transformers
NaturalLanguageProcessing
  • See Upvoters0
  • Downloads2
  • File Size0
  • Views245
Updated 1 year(s) ago

MICROSOFT CORPORATION (INDIA) PVT. LTD.

TAPEX: Base Model (Table Pre-training via Learning a Neural SQL Executor)
A base-sized pre-trained model designed to enhance table-based question answering and fact verification tasks.
FactVerification
TabularData
BART
PreTrainedModel
TableQuestionAnswering
  • See Upvoters0
  • Downloads3
  • File Size0
  • Views188
Updated 1 year(s) ago

MICROSOFT CORPORATION (INDIA) PVT. LTD.

TAPEX: WikiTable Questions Data enabled Base Finetuned (Table Pre-training via Learning a Neural SQL Executor) Model
A base-sized TAPEX model fine-tuned on the WikiTableQuestions dataset, designed to enhance performance in table-based question answering tasks.
NaturalLanguageProcessing
TableQuestionAnswering
TAPEX
WikiTableQuestions
FineTunedModel
DataExtraction
BART
Transformers
  • See Upvoters0
  • Downloads3
  • File Size0
  • Views199
Updated 1 year(s) ago

MICROSOFT CORPORATION (INDIA) PVT. LTD.

TAPEX: WikiSQL Data enabled Base Finetuned (Table Pre-training via Learning a Neural SQL Executor) Model
A large-sized TAPEX model fine-tuned on the WikiSQL dataset, optimized for translating natural language questions into SQL queries for effective table-based question answering.
Transformers
SQLQueryGeneration
TAPEX
WikiSQL
FineTunedModel
DataRetrieval
BART
NaturalLanguageProcessing
  • See Upvoters0
  • Downloads5
  • File Size0
  • Views202
Updated 1 year(s) ago

MICROSOFT CORPORATION (INDIA) PVT. LTD.