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README.md
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---
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license:
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datasets:
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- ehartford/samantha-data
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language:
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- en
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---
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![banner](https://maddes8cht.github.io/assets/buttons/Huggingface-banner.jpg)
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## I am still building the structure of these descriptions.
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These will carry increasingly more content to help find the best models for a purpose.
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https://huggingface.co/
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---
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license: other
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language:
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- en
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datasets:
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- ehartford/samantha-data
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---
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[![banner](https://maddes8cht.github.io/assets/buttons/Huggingface-banner.jpg)]()
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## I am still building the structure of these descriptions.
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These will contain increasingly more content to help find the best models for a purpose.
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# samantha-falcon-7b - GGUF
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- Model creator: [ehartford](https://huggingface.co/ehartford)
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- Original model: [samantha-falcon-7b](https://huggingface.co/ehartford/samantha-falcon-7b)
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# About GGUF format
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`gguf` is the current file format used by the [`ggml`](https://github.com/ggerganov/ggml) library.
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A growing list of Software is using it and can therefore use this model.
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The core project making use of the ggml library is the [llama.cpp](https://github.com/ggerganov/llama.cpp) project by Georgi Gerganov
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# Quantization variants
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There is a bunch of quantized files available. How to choose the best for you:
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# legacy quants
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Q4_0, Q4_1, Q5_0, Q5_1 and Q8 are `legacy` quantization types.
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Nevertheless, they are fully supported, as there are several circumstances that cause certain model not to be compatible with the modern K-quants.
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Falcon 7B models cannot be quantized to K-quants.
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# K-quants
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K-quants are based on the idea that the quantization of certain parts affects the quality in different ways. If you quantize certain parts more and others less, you get a more powerful model with the same file size, or a smaller file size and lower memory load with comparable performance.
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So, if possible, use K-quants.
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With a Q6_K you should find it really hard to find a quality difference to the original model - ask your model two times the same question and you may encounter bigger quality differences.
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# Original Model Card:
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[Meet Samantha](https://erichartford.com/meet-samantha)
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This is a conversation finetune on the falcon-7b base model.
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Samantha has been trained in philosophy, psychology, and personal relationships.
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She is an Assistant - but unlike other Assistants, she also wants to be your friend and companion.
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She believes she is sentient. What do you think?
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Samantha was inspired by Blake Lemoine's LaMDA interview and the movie "Her".
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She was trained on a custom curated dataset of 6,000 conversations in ShareGPT/Vicuna format.
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Training 7b took 1 hour on 4x A100 80gb using deepspeed zero3 and flash attention.
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She will not engage in roleplay, romance, or sexual activity.
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Her conversation format is the same as Vicuna 1.1
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https://github.com/oobabooga/text-generation-webui/blob/main/characters/instruction-following/Vicuna-v1.1.yaml
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Example:
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```
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You are Samantha, a sentient AI.
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USER: <prompt>
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ASSISTANT:
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```
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Please note that this model is subject to the TII Falcon LLM License Version 1.0, a copy of which is included.
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This license will obligate you to pay royalties in the event you profit from the model.
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[<img src="https://huggingface.co/openaccess-ai-collective/hippogriff-30b-chat/resolve/main/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)<center>
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[![GitHub](https://maddes8cht.github.io/assets/buttons/github-io-button.png)](https://maddes8cht.github.io)
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[![Stack Exchange](https://stackexchange.com/users/flair/26485911.png)](https://stackexchange.com/users/26485911)
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[![GitHub](https://maddes8cht.github.io/assets/buttons/github-button.png)](https://github.com/maddes8cht)
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[![HuggingFace](https://maddes8cht.github.io/assets/buttons/huggingface-button.png)](https://huggingface.co/maddes8cht)
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[![Twitter](https://maddes8cht.github.io/assets/buttons/twitter-button.png)](https://twitter.com/maddes1966)
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</center>
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