IN
InternLM2-Base-7B
Release date: 2024-01-17Updated: 2024-01-17Views: 530
Parameters
7B
Context length
200K
Multilingual
Supported
Reasoning ability
No data
InternLM2-Base-7B is an AI model published by Shanghai Artificial Intelligence Laboratory, released on 2024-01-17, for Foundation model, with 7B parameters, and 200K context length, requiring about 14GB storage.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
InternLM2-Base-7B
Model basics
Reasoning traces
No data
Thinking modes
Thinking modes not supported
Context length
200K tokens
Max output length
No data
Model type
Foundation model
Modality (in / out)
No data
Release date
2024-01-17
Model file size
14GB
MoE architecture
No
Total params / Active params
7B / Not applicable
Knowledge cutoff
No data
InternLM2-Base-7B
Open source & experience
Code license
Weights license
Free commercial use- Commercial use permitted
GitHub repo
Hugging Face
Live demo
N/A
InternLM2-Base-7B
Official resources
Paper
DataLearnerAI blog
N/A
InternLM2-Base-7B
API details
API speed
No data
No public API pricing yet.
InternLM2-Base-7B
Publisher
Shanghai Artificial Intelligence Laboratory
View publisher details InternLM2-Base-7B
Model Overview
InternLM2-Base-7B is an AI model published by Shanghai Artificial Intelligence Laboratory, released on 2024-01-17, for Foundation model, with 7B parameters, and 200K context length, requiring about 14GB storage.
DataLearner on WeChat
Follow DataLearner on WeChat for AI model updates and research notes.
