WH
Whisper V2
Release date: 2022-12-09Updated: 2023-05-17 22:49:24.542624
Parameters
1.55B
Context length
2K
Chinese support
Not supported
Reasoning ability
Whisper V2 is an AI model published by OpenAI, released on 2022-12-09, for Foundation model, with 1.55B parameters, and 2K context length, requiring about 6.17 storage.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Whisper V2
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
2022-12-09
Model file size
6.17
MoE architecture
No
Total params / Active params
1.55B / N/A
Knowledge cutoff
No data
Whisper V2
Open source & experience
Code license
No data
Weights license
No data
GitHub repo
Hugging Face
Live demo
No live demo
Whisper V2
Official resources
DataLearnerAI blog
No blog post yet
Whisper V2
API details
API speed
No data
No public API pricing yet.
Whisper V2
Benchmark Results
No benchmark data to show.
Compare with other models
No curated comparisons for this model yet.
Want a custom combination? Open the compare tool
Whisper V2
Publisher
OpenAI
View publisher details Whisper V2
Model Overview
Whisper V2 is an AI model published by OpenAI, released on 2022-12-09, for Foundation model, with 1.55B parameters, and 2K context length, requiring about 6.17 storage.
Foundation model
Whisper
View detailsDataLearner on WeChat
Follow DataLearner on WeChat for AI model updates and research notes.
