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Orientini_Falcon7B_QLoRA
mouadberqia/Orientini_Falcon7B_QLoRA
Orientini_Falcon7B_QLoRA is a machine learning model from mouadberqia. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
This is a finetunned version of Falcon 7B to give recommendations for students to based on their marks.
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Public
Updated Jul 3, 2024
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At a glance
- Library
- transformers
- Access
- Public
- Created
- Jun 26, 2024
- Updated
- Jul 3, 2024
- SHA
- a0253e3c
Model card
From the Hugging Face model README
Model Card for Orientini
This is a finetunned version of Falcon 7B to give recommendations for students to based on their marks.
Model Description
<!-- Provide a longer summary of what this model is. -->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: Mouad BERQIA
- Language(s) (NLP): English (Currently)
- Finetuned from model [optional]: Falcon 7B
Uses
This model is used as a recommendation model (can be used as conversational but that's not what it was trainned for).
Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->[More Information Needed]
Out-of-Scope Use
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Bias, Risks, and Limitations
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Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->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
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->Preprocessing [optional]
[More Information Needed]
Training Hyperparameters
- Training regime: [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
Speeds, Sizes, Times [optional]
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Evaluation
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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
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->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]
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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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- Library
- transformers
- Created
- Jun 26, 2024
- Updated
- Jul 3, 2024