base_model, datasets, inference, language, license, model_creator, model_name, pipeline_tag, quantized_by, tags

base_model	datasets	inference	language	license	model_creator	model_name	pipeline_tag	quantized_by	tags
parsak/phi-2-code-instruct	sahil2801/CodeAlpaca-20k	false	en	mit	parsak	phi-2-code-instruct	text-generation	afrideva	code gguf ggml quantized q2_k q3_k_m q4_k_m q5_k_m q6_k q8_0

parsak/phi-2-code-instruct-GGUF

Quantized GGUF model files for phi-2-code-instruct from parsak

Name	Quant method	Size
phi-2-code-instruct.fp16.gguf	fp16	5.56 GB
phi-2-code-instruct.q2_k.gguf	q2_k	1.11 GB
phi-2-code-instruct.q3_k_m.gguf	q3_k_m	1.43 GB
phi-2-code-instruct.q4_k_m.gguf	q4_k_m	1.74 GB
phi-2-code-instruct.q5_k_m.gguf	q5_k_m	2.00 GB
phi-2-code-instruct.q6_k.gguf	q6_k	2.29 GB
phi-2-code-instruct.q8_0.gguf	q8_0	2.96 GB

Original Model Card:

Model Card for Model ID

This modelcard aims to be a base template for new models. It has been generated using this raw template.

Model Details

Model Description

• Developed by: [Parsa K.]
• Funded by [optional]: [More Information Needed]
• Shared by [optional]: [More Information Needed]
• Model type: [More Information Needed]
• Language(s) (NLP): [English, Python (Responses in other programming languages might be inconsistent)]
• License: [MIT]
• Finetuned from model [optional]: [microsoft/phi-2]

Model Sources [optional]

• Repository: [More Information Needed]
• Paper [optional]: [More Information Needed]
• Demo [optional]: [More Information Needed]

Uses

Direct Use

[More Information Needed]

Downstream Use [optional]

[More Information Needed]

Out-of-Scope Use

[More Information Needed]

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

[More Information Needed]

Training Procedure

Preprocessing [optional]

[More Information Needed]

Training Hyperparameters

• Training regime: [More Information Needed]

Speeds, Sizes, Times [optional]

[More Information Needed]

Evaluation

Testing Data, Factors & Metrics

Testing Data

[More Information Needed]

Factors

[More Information Needed]

Metrics

[More Information Needed]

Results

[More Information Needed]

Summary

Model Examination [optional]

[More Information Needed]

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

[More Information Needed]

Compute Infrastructure

[More Information Needed]

Hardware

[More Information Needed]

Software

[More Information Needed]

Citation [optional]

BibTeX:

[More Information Needed]

APA:

[More Information Needed]

Glossary [optional]

[More Information Needed]

More Information [optional]

[More Information Needed]

Model Card Authors [optional]

[More Information Needed]

Model Card Contact

[More Information Needed]