NVIDIA
NVIDIA
Mistral 7B Instruct (TensorRT LLM)
Model
NVIDIA
NVIDIA
Mistral 7B Instruct (TensorRT LLM)

Mistral-7B-Instruct is a language model that can follow instructions, complete requests, and generate creative text formats.

Model Overview

Terms of use

GOVERNING TERMS: By accessing this engine, you are agreeing to NVIDIA TensorRT Engine License.

ATRIBUTTION: Apache License 2.0 | Choose a License

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.

Description:

Mistral-7B-Instruct is a language model that can follow instructions, complete requests, and generate creative text formats. It is an instruct version of the Mistral-7B-v0.2 generative text model fine-tuned using a variety of publicly available conversation datasets. TensorRT engines optimizing Mistral-7B-Instruct are generated by TensorRT-Cloud.

These TensorRT engines are ready for commercial use.

References(s):

Mistral 7B Instruct Model Card on Hugging Face
Mistral 7B paper
Mistral 7B blogpost

Model Architecture:

Architecture Type: Transformer
Network Architecture: Mistral-7B
Model Version: v0.1

Input:

Input Format: Text
Input Parameters: Max Tokens, Temperature, Top P

Output:

Output Format: Text
Output Parameters: None

Software Integration:

Check the version tag for engine support matrix

Inference:

TRT-LLM Inference Engine

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 model team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse. Please report security vulnerabilities or NVIDIA AI Concerns here.

Publisher
NVIDIA
NVIDIA
Latest Versionbs1_int8wo_RTX4090_windows
UpdatedJune 14, 2024 UTC
Compressed Size6.14 GB

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