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TinyLlama

Foundation model

TinyLlama

Release date: 2023-09-04Updated: 2024-01-06 21:13:19.071857
Parameters
1.1B
Context length
2K
Chinese support
Not supported
Reasoning ability

TinyLlama is an AI model published by Singapore University of Technology and Design, released on 2023-09-04, for Foundation model, with 1.1B parameters, and 2K context length, requiring about 4.4GB storage, under the Apache 2.0 license.

Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

TinyLlama

Model basics

Reasoning traces
Not supported
Thinking modes
Thinking modes not supported
Context length
2K tokens
Max output length
No data
Model type
Foundation model
Modality (in / out)
No data
Release date
2023-09-04
Model file size
4.4GB
MoE architecture
No
Total params / Active params
1.1B / N/A
Knowledge cutoff
No data
TinyLlama

Open source & experience

Code license
Weights license
Apache 2.0- 免费商用授权
Live demo
No live demo
TinyLlama

Official resources

DataLearnerAI blog
No blog post yet
TinyLlama

API details

API speed
No data
No public API pricing yet.
TinyLlama

Benchmark Results

No benchmark data to show.

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TinyLlama

Publisher

Singapore University of Technology and Design
Singapore University of Technology and Design
View publisher details
TinyLlama

Model Overview

TinyLlama is an AI model published by Singapore University of Technology and Design, released on 2023-09-04, for Foundation model, with 1.1B parameters, and 2K context length, requiring about 4.4GB storage, under the Apache 2.0 license.

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