wavecoder-ultra-6.7b-GGUF

💫 Community Model> wavecoder-ultra-6.7b by Microsoft

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Model creator: Microsoft<br> Original model: wavecoder-ultra-6.7b<br> GGUF quantization: provided by bartowski based on llama.cpp release b2675<br>

Model Summary:

WaveCoder ultra is a coding model created with 'Widepread And Versatile Enhanced' instruction tuning. It has exceptional generalization ability across different code-related tasks and has a high efficiency in generation.<br> This model should be used exclusively for coding, and will follow instructions for code generation.

Prompt Template:

Choose the Alpaca preset in your LM Studio.

Under the hood, the model will see a prompt that's formatted like so:

Below is an instruction that describes a task. Write a response that appropriately completes the request.
### Instruction: {prompt}
### Response:

Use case and examples

WaveCoder ultra is fine tuned for code-related instruction following tasks, including code generation, summarization, repair, and translation.

Code Generation

Code Summarization

Code Repair

Code Translation

Technical Details

The WaveCoder series of models is the result of a 'Widespread And Versatile Enchanced' (WAVE) instruction tuning with a highly refined dataset.

Their 'CodeOcean' consists of 20,000 instruction instances across the 4 code-related tasks (generation, summarization, repair, translation) with instructions generated by GPT-3.5-turbo.

To create this dataset, the team used existing raw code from GitHub CodeSearchNet, filtering for quality and diversity, then used a 'novel LLM-based Generator-Discriminator Framework' which involves generating supervised instruction data from the unsupervised open source code.

For further details and benchmarks, check out their arXiv paper here

Special thanks

🙏 Special thanks to Georgi Gerganov and the whole team working on llama.cpp for making all of this possible.

🙏 Special thanks to Kalomaze for his dataset (linked here) that was used for calculating the imatrix for these quants, which improves the overall quality!

Disclaimers

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