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metadata
library_name: transformers
license: mit
language:
  - en

NUOS-MagickMin-7B-Instruct

NUOS-MagickMin-7B-Instruct

OpenSource 7 Billion Large Language Model

NUOS-MagickMin-7B-Instruct is a large language model with 7 Billions Parameters.

It is mainly focus on working effectively at 4 Bit Stage of LLM, for cheaper, faster runtime inferencing.

Info

  • License - MIT
  • Backbone Model - Gemma 7B It

Contributors

  • Mark Ranford
  • Min Si Thu

Model Details

Model Description

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

  • Developed by: Magicko Space (Min Si Thu)
  • Model type: Text Generation
  • Language(s) (NLP): English
  • License: MIT
  • Finetuned from model: Gemma 7B It

Model Sources [optional]

Uses

Direct Use

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Downstream Use [optional]

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Out-of-Scope Use

The model is not intended to use for cirminal, illegal and nsfw applications.

[More Information Needed]

Bias, Risks, and Limitations

[More Information Needed]

Recommendations

How to Get Started with the Model

We are still working on this part.

[More Information Needed]

Training Details

Training Data

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Training Procedure

Preprocessing [optional]

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Training Hyperparameters

  • Training regime: [More Information Needed]

Speeds, Sizes, Times [optional]

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Evaluation

Testing Data, Factors & Metrics

Testing Data

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Factors

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Metrics

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Results

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Summary

Model Examination [optional]

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

  • Hardware Type: [More Information Needed]
  • Hours used: [More Information Needed]
  • Cloud Provider: [More Information Needed]
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Technical Specifications [optional]

Model Architecture and Objective

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Compute Infrastructure

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Hardware

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Software

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Citation [optional]

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APA:

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Glossary [optional]

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Model Card Authors [optional]

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Model Card Contact

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