Government Of India
A-
A
A+
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.
About Model
Phi-3-Mini-4K-Instruct is a lightweight yet powerful AI model from Microsoft, developed as part of the Phi-3 model family. It is trained on synthetic and high-quality filtered datasets, ensuring advanced reasoning capabilities in math, logic, code generation, and language understanding. The model supports 4K and 128K token context lengths, making it ideal for both short and long-context AI applications.
Phi-3-Mini-4K-Instruct - Lightweight AI Model for Reasoning and Efficient AI Applications
Metadata
MIT
Microsoft
Text Generation
N.A.
Open
Sector Agnostic
12/03/25 06:35:24
0
Activity Overview
0
6 
0 
119
Tags
- Text Generation
- Instruction Following
- Reasoning
- Transformers
- NLP
- Microsoft
License Control
MIT
More Models from 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.
Transformers
SQLExecution
PreTrainedModel
TAPEX
DataRetrieval
NeuralExecutor
BART
- 0
- 6
- 0
185
Updated 8 month(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.
BART
TableQuestionAnswering
FactVerification
PreTrainedModel
LargeModel
- 0
- 5
- 0
- 142
Updated 8 month(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
NaturalLanguageProcessing
Transformers
BART
DataValidation
FineTunedModel
TabFact
TAPEX
- 0
- 5
- 0
- 105
Updated 8 month(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.
TAPEX
TableQuestionAnswering
NaturalLanguageProcessing
Transformers
BART
DataExtraction
FineTunedModel
WikiTableQuestions
- 0
- 2
- 0
- 145
Updated 8 month(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.
BART
TableQuestionAnswering
FactVerification
PreTrainedModel
TabularData
- 0
- 3
- 0
- 104
Updated 8 month(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
- 0
- 3
- 0
- 133
Updated 8 month(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
NaturalLanguageProcessing
SQLQueryGeneration
TAPEX
WikiSQL
FineTunedModel
DataRetrieval
BART
- 0
- 5
- 0
- 115
Updated 8 month(s) ago
MICROSOFT CORPORATION (INDIA) PVT. LTD.
TAPEX: TabFact Data enabled Base Finetuned (Table Pre-training via Learning a Neural SQL Executor) Model
A base-sized TAPEX model fine-tuned on the TabFact dataset, tailored for verifying the factual accuracy of textual statements against tabular data.
FactVerification
TAPEX
TabFact
FineTunedModel
DataValidation
BART
Transformers
NaturalLanguageProcessing
- 0
- 4
- 0
- 102
Updated 8 month(s) ago
MICROSOFT CORPORATION (INDIA) PVT. LTD.
TAPEX: Base Finetuned (Table Pre-training via Learning a Neural SQL Executor) Model
A base-sized TAPEX model fine-tuned on the WikiSQL dataset, designed to enhance performance in table-based question answering tasks.
DataExtraction
NaturalLanguageProcessing
Transformers
BART
TableQuestionAnswering
FineTunedModel
WikiSQL
TAPEX
- 0
- 5
- 0
- 145
Updated 8 month(s) ago
MICROSOFT CORPORATION (INDIA) PVT. LTD.
BiomedBERT - Domain-Specific Biomedical Language Model
A biomedical NLP model pre-trained from scratch on abstracts and full-text articles from PubMed and PubMed Central, achieving state-of-the-art performance on biomedical language understanding tasks.
Transformers
inference endpoints
exbert
Bert
English
JAX
PyTorch
Fill-Mask
- 0
- 88
- 0
- 1,306
Updated 1 year(s) ago
MICROSOFT CORPORATION (INDIA) PVT. LTD.
© 2026 - Copyright AIKosh. All rights reserved. This portal is developed by National e-Governance Division for AIKosh mission.