Mistral AI
Ministral 8B is an 8B parameter model featuring a unique interleaved sliding-window attention pattern for faster, memory-efficient inference. Designed for edge use cases, it supports up to 128k context length...
Running this yourself: desktop gpu should be enough.
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Quality Score
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Arena ELO
8B
Parameters
128K
Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
14 of 22 public signals
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Oct 2024
Released
4/5 signals
1/4 signals
4/5 signals
1/4 signals
4/4 signals
Parameters
8B
Training compute
Not reported
Dataset scale
Not reported
Base model
Not reported
Source-reported access: Open weights (non-commercial) · Confident confidence
Gaps we are still tracking
Launches
2
General
8
Recent launch, pricing, benchmark, and API signals linked to this model or its provider.
Today, we’re announcing a strategic collaboration with @HUMAIN spanning AI infrastructure, advanced model development, and the deployment of AI solutions in Saudi Arabia and across the region. Together, we will work on localized frontier AI models, with initial areas of focus
View sourceToday, we’re announcing a strategic collaboration with @HUMAIN spanning AI infrastructure, advanced model development, and the deployment of AI solutions in Saudi Arabia and across the region. Together, we will work on localized frontier AI models, with initial areas of focus

☁️Mistral is bringing together the inference infrastructure, open models, and long-term commitments Europe needs to control its AI future, and setting a roadmap for the world. 🧵: https://t.co/LeP53uBUES https://t.co/JjluVwJecj
