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README.md
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library_name: transformers
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pipeline_tag: text-generation
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---
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# Manticore 13B Chat GGML
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Further instructions here: [text-generation-webui/docs/llama.cpp-models.md](https://github.com/oobabooga/text-generation-webui/blob/main/docs/llama.cpp-models.md).
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# Original model card - Manticore 13B Chat
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Manticore 13B Chat builds on Manticore with new datasets, including a de-duped subset of the Pygmalion dataset. It also removes all Alpaca style prompts using `###` in favor of
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chat only style prompts using `USER:`,`ASSISTANT:` as well as [pygmalion/metharme prompting](https://huggingface.co/PygmalionAI/metharme-7b#prompting) using `<|system|>, <|user|> and <|model|>` tokens.
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Questions, comments, feedback, looking to donate, or want to help? Reach out on our [Discord](https://discord.gg/EqrvvehG) or email [[email protected]](mailto:[email protected])
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# Training Datasets
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Manticore 13B Chat is a Llama 13B model fine-tuned on the following datasets along with the datasets from the original Manticore 13B.
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**Manticore 13B Chat was trained on 25% of the datasets below. The datasets were merged, shuffled, and then sharded into 4 parts.**
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- de-duped pygmalion dataset, filtered down to RP data
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- [riddle_sense](https://huggingface.co/datasets/riddle_sense) - instruct augmented
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- hellaswag, updated for detailed explanations w 30K+ rows
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- [gsm8k](https://huggingface.co/datasets/gsm8k) - instruct augmented
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- [ewof/code-alpaca-instruct-unfiltered](https://huggingface.co/datasets/ewof/code-alpaca-instruct-unfiltered)
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Manticore 13B
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## Build
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Manticore was built with [Axolotl](https://github.com/OpenAccess-AI-Collective/axolotl) on 8xA100 80GB
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- 3 epochs taking approximately 8 hours. No further epochs will be released.
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- The configuration to duplicate this build is provided in this repo's [/config folder](https://huggingface.co/openaccess-ai-collective/manticore-13b/tree/main/configs).
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## Bias, Risks, and Limitations
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library_name: transformers
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pipeline_tag: text-generation
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---
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<div style="width: 100%;">
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<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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</div>
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<div style="display: flex; justify-content: space-between; width: 100%;">
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<div style="display: flex; flex-direction: column; align-items: flex-start;">
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<p><a href="https://discord.gg/UBgz4VXf">Chat & support: my new Discord server</a></p>
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</div>
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<div style="display: flex; flex-direction: column; align-items: flex-end;">
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<p><a href="https://www.patreon.com/TheBlokeAI">Want to contribute? Patreon coming soon!</a></p>
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</div>
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</div>
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# Manticore 13B Chat GGML
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Further instructions here: [text-generation-webui/docs/llama.cpp-models.md](https://github.com/oobabooga/text-generation-webui/blob/main/docs/llama.cpp-models.md).
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## Want to support my work?
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I've had a lot of people ask if they can contribute. I love providing models and helping people, but it is starting to rack up pretty big cloud computing bills.
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So if you're able and willing to contribute, it'd be most gratefully received and will help me to keep providing models, and work on various AI projects.
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Donaters will get priority support on any and all AI/LLM/model questions, and I'll gladly quantise any model you'd like to try.
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* Patreon: coming soon! (just awaiting approval)
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* Ko-Fi: https://ko-fi.com/TheBlokeAI
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* Discord: https://discord.gg/UBgz4VXf
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# Original model card - Manticore 13B Chat
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Manticore 13B Chat builds on Manticore with new datasets, including a de-duped subset of the Pygmalion dataset. It also removes all Alpaca style prompts using `###` in favor of
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chat only style prompts using `USER:`,`ASSISTANT:` as well as [pygmalion/metharme prompting](https://huggingface.co/PygmalionAI/metharme-7b#prompting) using `<|system|>, <|user|> and <|model|>` tokens.
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Questions, comments, feedback, looking to donate, or want to help? Reach out on our [Discord](https://discord.gg/EqrvvehG) or email [[email protected]](mailto:[email protected])
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# Training Datasets
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Manticore 13B Chat is a Llama 13B model fine-tuned on the following datasets along with the datasets from the original Manticore 13B.
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**Manticore 13B Chat was trained on 25% of the datasets below. The datasets were merged, shuffled, and then sharded into 4 parts.**
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- de-duped pygmalion dataset, filtered down to RP data
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- [riddle_sense](https://huggingface.co/datasets/riddle_sense) - instruct augmented
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- hellaswag, updated for detailed explanations w 30K+ rows
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- [gsm8k](https://huggingface.co/datasets/gsm8k) - instruct augmented
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- [ewof/code-alpaca-instruct-unfiltered](https://huggingface.co/datasets/ewof/code-alpaca-instruct-unfiltered)
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Manticore 13B
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## Build
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Manticore was built with [Axolotl](https://github.com/OpenAccess-AI-Collective/axolotl) on 8xA100 80GB
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- 3 epochs taking approximately 8 hours. No further epochs will be released.
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- The configuration to duplicate this build is provided in this repo's [/config folder](https://huggingface.co/openaccess-ai-collective/manticore-13b/tree/main/configs).
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## Bias, Risks, and Limitations
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