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--- |
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base_model: jondurbin/airoboros-180b-2.2.1 |
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datasets: |
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- jondurbin/airoboros-2.2.1 |
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language: |
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- en |
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library_name: transformers |
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license: other |
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license_link: https://huggingface.co/tiiuae/falcon-180B/raw/main/LICENSE.txt |
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license_name: falcon-180b-tii-license-1.0 |
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quantized_by: mradermacher |
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--- |
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## About |
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weighted/imatrix quants of https://huggingface.co/jondurbin/airoboros-180b-2.2.1 |
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<!-- provided-files --> |
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static quants are available at https://huggingface.co/mradermacher/airoboros-180b-2.2.1-GGUF |
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## Usage |
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If you are unsure how to use GGUF files, refer to one of [TheBloke's |
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READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for |
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more details, including on how to concatenate multi-part files. |
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## Provided Quants |
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(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants) |
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| Link | Type | Size/GB | Notes | |
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|:-----|:-----|--------:|:------| |
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| [PART 1](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-i1-GGUF/resolve/main/airoboros-180b-2.2.1.i1-Q2_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-i1-GGUF/resolve/main/airoboros-180b-2.2.1.i1-Q2_K.gguf.part2of2) | i1-Q2_K | 67.8 | IQ3_XXS probably better | |
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| [PART 1](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-i1-GGUF/resolve/main/airoboros-180b-2.2.1.i1-Q3_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-i1-GGUF/resolve/main/airoboros-180b-2.2.1.i1-Q3_K_M.gguf.part2of2) | i1-Q3_K_M | 86.5 | IQ3_S probably better | |
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| [PART 1](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-i1-GGUF/resolve/main/airoboros-180b-2.2.1.i1-Q4_K_S.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-i1-GGUF/resolve/main/airoboros-180b-2.2.1.i1-Q4_K_S.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-i1-GGUF/resolve/main/airoboros-180b-2.2.1.i1-Q4_K_S.gguf.part3of3) | i1-Q4_K_S | 102.5 | optimal size/speed/quality | |
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| [PART 1](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-i1-GGUF/resolve/main/airoboros-180b-2.2.1.i1-Q4_K_M.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-i1-GGUF/resolve/main/airoboros-180b-2.2.1.i1-Q4_K_M.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-i1-GGUF/resolve/main/airoboros-180b-2.2.1.i1-Q4_K_M.gguf.part3of3) | i1-Q4_K_M | 109.8 | fast, recommended | |
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| [PART 1](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-i1-GGUF/resolve/main/airoboros-180b-2.2.1.i1-Q6_K.gguf.part1of4) [PART 2](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-i1-GGUF/resolve/main/airoboros-180b-2.2.1.i1-Q6_K.gguf.part2of4) [PART 3](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-i1-GGUF/resolve/main/airoboros-180b-2.2.1.i1-Q6_K.gguf.part3of4) [PART 4](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-i1-GGUF/resolve/main/airoboros-180b-2.2.1.i1-Q6_K.gguf.part4of4) | i1-Q6_K | 148.5 | practically like static Q6_K | |
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Here is a handy graph by ikawrakow comparing some lower-quality quant |
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types (lower is better): |
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![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png) |
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And here are Artefact2's thoughts on the matter: |
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https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9 |
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## FAQ / Model Request |
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See https://huggingface.co/mradermacher/model_requests for some answers to |
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questions you might have and/or if you want some other model quantized. |
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## Thanks |
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I thank my company, [nethype GmbH](https://www.nethype.de/), for letting |
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me use its servers and providing upgrades to my workstation to enable |
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this work in my free time. |
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