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Mistral-7B-Instruct-v0.1-Txt-2-Presto-SQL-GGUF

Text Generation
GGUF
finetuned
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Mistral-7B-Instruct-v0.1-Txt-2-Presto-SQL-GGUF / README.md
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metadata
license: apache-2.0
pipeline_tag: text-generation
tags:
  - finetuned
inference: false

Model Card for Model ID

This is a fine-tuned version of Mistral 7b Instruct. It was fine-tuned on text to SQL in Athena/Presto dialect using the following dataset: https://huggingface.co/datasets/cnatale/presto-athena-txt-2-sql/

Model Details

Model Description

Uses

Text to SQL in the Athena/Presto dialect.

Bias, Risks, and Limitations

[More Information Needed]

Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

Use the code below to get started with the model.

[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]
  • Compute Region: [More Information Needed]
  • Carbon Emitted: [More Information Needed]

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]

BibTeX:

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APA:

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Glossary [optional]

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More Information [optional]

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Model Card Authors [optional]

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Model Card Contact

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