This container houses the Mistral-7B-Instruct-v0.3, a large language model fine-tuned for instruction-based tasks. An improved version of Mistral-7B-v0.3, it is designed to be easily fine-tuned to achieve compelling performance.
Mistral-7B-Instruct-v0.3 Overview
Description:
This container houses the Mistral-7B-Instruct-v0.3 is a large language model (LLM) that has been fine-tuned for instruction-based tasks. It is an improved version of the Mistral-7B-v0.3 model and is designed to be easily fine-tuned to achieve compelling performance.
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/Mistral-7B-Instruct-v0.3]
(https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3).
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 AI Foundation Models Community 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 05/22/2024 via
https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3
Mistral-7B-Instruct-v0.3
Mistral-7B-Instruct-v0.3 Container includes the following model:
| Model Name & Link | Use Case | How to Pull the Model |
|---|---|---|
| Mistral-7B-Instruct-v0.3 | A conversational, instruction following large language model suitable for a wide range of tasks, including chatbot development, question answering, and text summarization | Automatic |
Deployment Details:
Visit the NIM Container LLM page for release documentation, deployment guides, and more.
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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):
Mistral-7B-Instruct-v0.3-1.12.0
Ethical Considerations:
NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their internal developer team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse.
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You are responsible for ensuring that your use of NVIDIA provided models complies with all applicable laws.