LL
Llama3-400B-InTraining
Release date: 2024-04-18Updated: 2024-04-19Views: 379
Parameters
400B
Context length
8K
Multilingual
No data
Reasoning ability
No data
Llama3-400B-InTraining is an AI model published by Facebook AI Research Lab, released on 2024-04-18, for Foundation model, with 400B parameters, and 8K context length, requiring about 800GB storage.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Llama3-400B-InTraining
Model basics
Reasoning traces
No data
Thinking modes
Thinking modes not supported
Context length
8K tokens
Max output length
No data
Model type
Foundation model
Modality (in / out)
No data
Release date
2024-04-18
Model file size
800GB
MoE architecture
No
Total params / Active params
400B / Not applicable
Knowledge cutoff
No data
Llama3-400B-InTraining
Open source & experience
GitHub repo
Hugging Face
N/A
Live demo
N/A
Llama3-400B-InTraining
Official resources
Paper
N/A
DataLearnerAI blog
N/A
Llama3-400B-InTraining
API details
API speed
No data
No public API pricing yet.
Llama3-400B-InTraining
Publisher
Facebook AI Research Lab
View publisher details Llama3-400B-InTraining
Model Overview
Llama3-400B-InTraining is an AI model published by Facebook AI Research Lab, released on 2024-04-18, for Foundation model, with 400B parameters, and 8K context length, requiring about 800GB storage.
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