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README.md
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---
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datasets:
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- cognitivecomputations/dolphin
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- jondurbin/airoboros-2.2.1
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- cognitivecomputations/dolphin-coder
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- teknium/openhermes
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- ise-uiuc/Magicoder-OSS-Instruct-75K
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- ise-uiuc/Magicoder-Evol-Instruct-110K
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- m-a-p/Code-Feedback
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- m-a-p/CodeFeedback-Filtered-Instruction
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- microsoft/orca-math-word-problems-200k
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language:
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- en
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license: bigcode-openrail-m
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---
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DolphinCoder StarCoder2 7b 🐬
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sponsored by [latitude.sh](https://www.latitude.sh/).
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Join our Discord! https://discord.gg/cognitivecomputations
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<img src="https://cdn-uploads.huggingface.co/production/uploads/63111b2d88942700629f5771/ldkN1J0WIDQwU4vutGYiD.png" width="600" />
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This model is based on StarCoder2-7b and is subject to bigcode-openrail-m license.
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This Dolphin is *really good* at coding, I trained with a lot of coding data.
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This model is uncensored. I have filtered the dataset to remove alignment and bias. This makes the model more compliant. You are advised to implement your own alignment layer before exposing the model as a service. It will be highly compliant to any requests, even unethical ones. Please read my blog post about uncensored models. https://erichartford.com/uncensored-models
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You are responsible for any content you create using this model. Enjoy responsibly.
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## Training
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It took 2 days to train 3 epochs on 8x L40S's using qLoRA and Axolotl
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Prompt format:
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This model uses ChatML prompt format.
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```
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<|im_start|>system
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You are DolphinCoder, a helpful AI programming assistant.<|im_end|>
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<|im_start|>user
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{prompt}<|im_end|>
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<|im_start|>assistant
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```
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Example:
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```
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<|im_start|>system
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You are DolphinCoder, a master at software engineering and coding in any programming language.
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<|im_start|>user
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Please write me a program in golang that parses all the lines in a file, and reverses them character-wise, and saves it to a new file.
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<|im_start|>assistant
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```
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## Quantized models
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- [gguf](https://huggingface.co/dagbs/dolphincoder-starcoder2-15b-GGUF)
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- [ExLlamaV2](https://huggingface.co/bartowski/dolphincoder-starcoder2-15b-exl2)
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## Gratitude
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- This model was made possible by the generous sponsorship of [latitude.sh](https://www.latitude.sh/).
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- Huge thank you to [BigCode](https://www.bigcode-project.org/) for training and publishing the weights of StarCoder2
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- HUGE Thank you to the dataset authors: @ise-uiuc, @teknium, @m-a-p
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- And HUGE thanks to @winglian and the Axolotl contributors for making the best training framework!
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- [<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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- Thank you to all the other people in the Open Source AI community who have taught me and helped me along the way.
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## Example Output
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[If you would like to financially support my efforts](https://ko-fi.com/erichartford)
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[swag](https://fa7113.myshopify.com/)
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