Interplay-AppCoder / README.md
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metadata
language:
  - en
tags:
  - langchain
  - python
  - yolov8

Interplay-AppCoder a CodeGeneration LLM

Iterate’s new top-performing Interplay-AppCoder LLM scores 2.9 on usefulness and 2.7 on functionality on the ICE Benchmark Test The world of LLMs is growing rapidly as Several new LLMs and finetunes are released daily by the open-source community, startups, and enterprises, as new models are invented to perform various novel tasks.

One of our Iterate.ai R&D Projects has been to experiment with several LLMs, then train a code generation LLM on the latest generative AI frameworks and libraries. Our goal was to generate working and updated code for generative AI projects that we build alongside our enterprise clients.

As part of the process, wWe have been fine-tuning CodeLlama -7B, 34B and Wizard Coder -15B, 34B. We combined that fine-tuning with our hand-coded dataset training on LangChain, YOLO V8, VertexAI and many other modern libraries which we use on a daily basis. We fine-tuned our work on top of WizardCoder-15B.

The result is Interplay-AppCoder LLM, a brand new high performing code generation model, which we are releasing on October 31, 2023.

Model Details

The base model which Interplay-Appcoder is based on: Wizardcoder-15B-v1.0

  • Developed by: [More Information Needed]
  • Funded by [optional]: [More Information Needed]
  • Shared by [optional]: [More Information Needed]
  • Model type: [More Information Needed]
  • Language(s) (NLP): [More Information Needed]
  • License: [More Information Needed]
  • Finetuned from model [optional]: [More Information Needed]

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

Evaluation

Testing Data, Factors & Metrics

Testing Data

[More Information Needed]

Metrics

[More Information Needed]