OP
OpenLLaMA 7B
Release date: 2023-05-03Updated: 2023-05-03Views: 734
Parameters
7B
Context length
2K
Multilingual
No data
Reasoning ability
No data
OpenLLaMA 7B is an AI model published by Berkeley Artificial Intelligence Research, released on 2023-05-03, for Foundation model, with 7B parameters, and 2K context length, requiring about 13.5GB storage.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
OpenLLaMA 7B
Model basics
Reasoning traces
No data
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
2023-05-03
Model file size
13.5GB
MoE architecture
No
Total params / Active params
7B / Not applicable
Knowledge cutoff
No data
OpenLLaMA 7B
Open source & experience
Code license
No data
Weights license
No data
GitHub repo
Hugging Face
Live demo
N/A
OpenLLaMA 7B
Official resources
Paper
DataLearnerAI blog
N/A
OpenLLaMA 7B
API details
API speed
No data
No public API pricing yet.
OpenLLaMA 7B
Publisher
Berkeley Artificial Intelligence Research
View publisher details OpenLLaMA 7B
Model Overview
OpenLLaMA 7B is an AI model published by Berkeley Artificial Intelligence Research, released on 2023-05-03, for Foundation model, with 7B parameters, and 2K context length, requiring about 13.5GB storage.
DataLearner on WeChat
Follow DataLearner on WeChat for AI model updates and research notes.
