This container houses the Mixtral-8x7B-Instruct-v0.1, a sophisticated, instruction-tuned model from Mistral AI. It uses a Sparse Mixture of Experts (SMoE) architecture, dynamically selecting 2 of its 8 experts per token for greater efficiency.
Mixtral-8x7B-Instruct-v0.1 Overview
Description:
This container houses the Mixtral-8x7B-Instruct-v0.1, which is a sophisticated, instruction-tuned large language model developed by Mistral AI. It utilizes a Sparse Mixture of Experts (SMoE) architecture, which sets it apart from traditional dense models. Instead of using all of its parameters for every computation, Mixtral contains 8 distinct "expert" networks. For each piece of data (token) it processes, a router network dynamically selects two of these experts to handle the task.
The container components are ready for commercial/non-commercial use.
Third-Party Community Consideration
This model is not owned or developed by NVIDIA. This model has been developed and built to a third-party's requirements for this application and use case; see link to Non-NVIDIA [mistralai/Mixtral-8x7B-Instruct-v0.1]
(mistralai/Mixtral-8x7B-Instruct-v0.1 · Hugging Face).
License/Terms of Use:
GOVERNING TERMS: The NIM container is governed by the NVIDIA Software License Agreement and the Product-Specific Terms for NVIDIA AI Products; and the use of the model is governed by the NVIDIA Community Model License Agreement.
ADDITIONAL INFORMATION: Apache 2.0 License.
You are responsible for ensuring that your use of NVIDIA provided models complies with all applicable laws.
Deployment Geography:
Global
Release Date:
Huggingface 12/11/2023 via
mistralai/Mixtral-8x7B-Instruct-v0.1 · Hugging Face
Mixtral-8x7B-Instruct-v0.1
Mixtral-8x7B-Instruct-v0.1 Container includes the following model:
| Model Name & Link | Use Case | How to Pull the Model |
|---|---|---|
| Mixtral-8x7B-Instruct-v0.1 | A powerful instruction-following model designed for chat, conversational AI, and complex command execution. | Automatic |
Deployment Details:
Visit the NIM Container LLM page for release documentation, deployment guides, and more.
Our AI models are designed and/or optimized to run on NVIDIA GPU-accelerated systems. By leveraging NVIDIA’s hardware (e.g. GPU cores) and software frameworks (e.g., CUDA libraries), the model achieves faster training and inference times compared to CPU-only solutions.
Container Version(s):
Mixtral-8x7B-Instruct-v0.1-1.12.0
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