JA
Jamba-v0.1
Foundation modelJamba-v0.1
Release date: 2024-03-28Updated: 2024-03-28 23:26:15739
Parameters
52B
Context length
256K
Chinese support
Not supported
Reasoning ability
Jamba-v0.1 is an AI model published by A21 Labs, released on 2024-03-28, for Foundation model, with 52B parameters, and 256K context length, requiring about 102.9GB storage.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Jamba-v0.1
Model basics
Reasoning traces
Not supported
Thinking modes
Thinking modes not supported
Context length
256K tokens
Max output length
No data
Model type
Foundation model
Modality (in / out)
No data
Release date
2024-03-28
Model file size
102.9GB
MoE architecture
No
Total params / Active params
52B / N/A
Knowledge cutoff
No data
Jamba-v0.1
Open source & experience
Code license
Weights license
Apache 2.0- Commercial use permitted
GitHub repo
Hugging Face
Live demo
No live demo
Jamba-v0.1
Official resources
Paper
DataLearnerAI blog
No blog post yet
Jamba-v0.1
API details
API speed
No data
No public API pricing yet.
Jamba-v0.1
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
Jamba-v0.1
Publisher
A21 Labs
View publisher details Jamba-v0.1
Model Overview
Jamba-v0.1 is an AI model published by A21 Labs, released on 2024-03-28, for Foundation model, with 52B parameters, and 256K context length, requiring about 102.9GB storage.
DataLearner on WeChat
Follow DataLearner on WeChat for AI model updates and research notes.
