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