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---
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inference: false
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license: apache-2.0
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model_creator: tiiuae
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model_link: https://huggingface.co/tiiuae/falcon-40b-instruct
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model_name: Falcon 40B Instruct
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model_type: falcon
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pipeline_tag: text-generation
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quantized_by: maddes8cht
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datasets:
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- tiiuae/falcon-refinedweb
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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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# Falcon 40B Instruct - gguf
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- Model creator: [tiiuae](https://huggingface.co/tiiuae)
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- Original model: [
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#
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</details>
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<details>
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<summary> Original Model Card by tiiuae
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</summary>
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# Original Model Card by tiiuae
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[***Link to original model card***](https://huggingface.co/tiiuae/falcon-40b-instruct)
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# ✨ Falcon-40B-Instruct
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**Falcon-40B-Instruct is a 40B parameters causal decoder-only model built by [TII](https://www.tii.ae) based on [Falcon-40B](https://huggingface.co/tiiuae/falcon-40b) and finetuned on a mixture of [Baize](https://github.com/project-baize/baize-chatbot). It is made available under the Apache 2.0 license.**
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Falcon-40B-Instruct is made available under the Apache 2.0 license.
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## Contact
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falconllm@tii.ae
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---
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datasets:
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- tiiuae/falcon-refinedweb
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language:
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- en
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inference: false
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license: apache-2.0
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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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# falcon-40b-instruct - GGUF
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- Model creator: [tiiuae](https://huggingface.co/tiiuae)
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- Original model: [falcon-40b-instruct](https://huggingface.co/tiiuae/falcon-40b-instruct)
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Tiiuae-Falcon 40B instruct is the original instruction following Falcon model from Tiiuae, converted to gguf format.
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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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# ✨ Falcon-40B-Instruct
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**Falcon-40B-Instruct is a 40B parameters causal decoder-only model built by [TII](https://www.tii.ae) based on [Falcon-40B](https://huggingface.co/tiiuae/falcon-40b) and finetuned on a mixture of [Baize](https://github.com/project-baize/baize-chatbot). It is made available under the Apache 2.0 license.**
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Falcon-40B-Instruct is made available under the Apache 2.0 license.
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## Contact
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falconllm@tii.ae<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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