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Granite-34B-Code-Instruct.yml
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framework:
name: 'Model Openness Framework'
version: '1.0'
date: '2024-12-15'
release:
name: Granite-34B-Code-Instruct
version: 34B
date: '2024-11-15'
type: code
architecture: 'transformer decoder'
origin: Granite-34B-Code-Base
producer: IBM
contact: ''
github: 'https://github.com/ibm-granite/granite-code-models'
huggingface: 'https://huggingface.co/ibm-granite/granite-34b-code-instruct'
components:
-
name: 'Model architecture'
description: "Well commented code for the model's architecture"
location: ''
license_name: Apache-2.0
license_path: ''
-
name: 'Data preprocessing code'
description: 'Code for data cleansing, normalization, and augmentation'
location: ''
license_name: 'Component not included'
license_path: ''
-
name: 'Training code'
description: 'Code used for training the model'
location: ''
license_name: 'Component not included'
license_path: ''
-
name: 'Inference code'
description: 'Code used for running the model to make predictions'
location: ''
license_name: 'Component not included'
license_path: ''
-
name: 'Evaluation code'
description: 'Code used for evaluating the model'
location: ''
license_name: 'Component not included'
license_path: ''
-
name: 'Supporting libraries and tools'
description: "Libraries and tools used in the model's development"
location: ''
license_name: 'Component not included'
license_path: ''
-
name: 'Model parameters (Final)'
description: 'Trained model parameters, weights and biases'
location: ''
license_name: Apache-2.0
license_path: ''
-
name: 'Model parameters (Intermediate)'
description: 'Trained model parameters, weights and biases'
location: ''
license_name: Apache-2.0
license_path: ''
-
name: Datasets
description: 'Training, validation and testing datasets used for the model'
location: ''
license_name: 'License not specified'
license_path: ''
-
name: 'Evaluation data'
description: 'Data used for evaluating the model'
location: ''
license_name: 'Component not included'
license_path: ''
-
name: 'Model metadata'
description: 'Any model metadata including training configuration and optimizer states'
location: ''
license_name: 'License not specified'
license_path: ''
-
name: 'Sample model outputs'
description: 'Examples of outputs generated by the model'
location: ''
license_name: 'Component not included'
license_path: ''
-
name: 'Model card'
description: 'Model details including performance metrics, intended use, and limitations'
location: ''
license_name: 'License not specified'
license_path: ''
-
name: 'Data card'
description: 'Documentation for datasets including source, characteristics, and preprocessing details'
location: ''
license_name: 'License not specified'
license_path: ''
-
name: 'Technical report'
description: 'Technical report detailing capabilities and usage instructions for the model'
location: ''
license_name: 'License not specified'
license_path: ''
-
name: 'Research paper'
description: 'Research paper detailing the development and capabilities of the model'
location: ''
license_name: 'License not specified'
license_path: ''
-
name: 'Evaluation results'
description: 'The results from evaluating the model'
location: ''
license_name: 'Component not included'
license_path: ''