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LLaMA Adapter V2
Foundation modelLLaMA Adapter V2
Release date: 2023-04-28Updated: 2023-05-03Views: 801
Parameters
65B
Context length
2K
Multilingual
No data
Reasoning ability
No data
LLaMA Adapter V2 is an AI model published by Shanghai Artificial Intelligence Laboratory, released on 2023-04-28, for Foundation model, with 65B parameters, and 2K context length.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
LLaMA Adapter V2
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
2023-04-28
Model file size
No data
MoE architecture
No
Total params / Active params
65B / Not applicable
Knowledge cutoff
No data
LLaMA Adapter V2
Open source & experience
Code license
No data
Weights license
No data
GitHub repo
Hugging Face
N/A
Live demo
N/A
LLaMA Adapter V2
Official resources
Paper
DataLearnerAI blog
N/A
LLaMA Adapter V2
API details
API speed
No data
No public API pricing yet.
LLaMA Adapter V2
Publisher
Shanghai Artificial Intelligence Laboratory
View publisher details LLaMA Adapter V2
Model Overview
LLaMA Adapter V2 is an AI model published by Shanghai Artificial Intelligence Laboratory, released on 2023-04-28, for Foundation model, with 65B parameters, and 2K context length.
Foundation model
LLaMA
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