MI
Mixtral-8×22B-MoE
Release date: 2024-04-17Updated: 2024-04-17 22:33:37805
Parameters
141B
Context length
64K
Chinese support
Not supported
Reasoning ability
Mixtral-8×22B-MoE is an AI model published by MistralAI, released on 2024-04-17, for Foundation model, with 141B parameters, and 64K context length, requiring about 262GB storage.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Mixtral-8×22B-MoE
Model basics
Reasoning traces
Not supported
Thinking modes
Thinking modes not supported
Context length
64K tokens
Max output length
No data
Model type
Foundation model
Modality (in / out)
No data
Release date
2024-04-17
Model file size
262GB
MoE architecture
No
Total params / Active params
141B / N/A
Knowledge cutoff
No data
Mixtral-8×22B-MoE
Open source & experience
Code license
Weights license
Apache 2.0- Commercial use permitted
GitHub repo
GitHub link unavailable
Live demo
No live demo
Mixtral-8×22B-MoE
Official resources
Paper
DataLearnerAI blog
Mixtral-8×22B-MoE
API details
API speed
No data
No public API pricing yet.
Mixtral-8×22B-MoE
Benchmark Results
No benchmark data to show.
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Mixtral-8×22B-MoE
Publisher
MistralAI
View publisher details Mixtral-8×22B-MoE
Model Overview
Mixtral-8×22B-MoE is an AI model published by MistralAI, released on 2024-04-17, for Foundation model, with 141B parameters, and 64K context length, requiring about 262GB storage.
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