smallsuper / Mistral-7B-v0.1-4bit-32rank

huggingface.co
Total runs: 1
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: May 07 2024
feature-extraction

Introduction of Mistral-7B-v0.1-4bit-32rank

Model Details of Mistral-7B-v0.1-4bit-32rank

Overview

This is a bare model without any output layer or classification head. It has been quantized to be used for feature extraction tasks.

Usage

This model is intended to be used as a base for training on downstream tasks. In order to use it for predictions and inference, it should be fine-tuned on a specific task with an appropriate output layer or classification head added.

Quantization

The model has been quantized using the following parameters:

Lora alpha: 16

Lora rank: 32

Lora target modules: all-linear

bits: 4

LoftQ iterations: 5

Runs of smallsuper Mistral-7B-v0.1-4bit-32rank on huggingface.co

1
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
0
30-day runs

More Information About Mistral-7B-v0.1-4bit-32rank huggingface.co Model

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Mistral-7B-v0.1-4bit-32rank install

Mistral-7B-v0.1-4bit-32rank is an open source model from GitHub that offers a free installation service, and any user can find Mistral-7B-v0.1-4bit-32rank on GitHub to install. At the same time, huggingface.co provides the effect of Mistral-7B-v0.1-4bit-32rank install, users can directly use Mistral-7B-v0.1-4bit-32rank installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

Mistral-7B-v0.1-4bit-32rank install url in huggingface.co:

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Url of Mistral-7B-v0.1-4bit-32rank

Mistral-7B-v0.1-4bit-32rank huggingface.co Url

Provider of Mistral-7B-v0.1-4bit-32rank huggingface.co

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