mradermacher
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README.md
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<!-- ### quantize_version: 2 -->
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<!-- ### output_tensor_quantised: 1 -->
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<!-- ### convert_type: hf -->
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weighted/imatrix quants of https://huggingface.co/RichardErkhov/FATLLAMA-1.7T-Instruct
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The imatrix was created from the IQ4_XS quant.
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---
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base_model: RichardErkhov/FATLLAMA-1.7T-Instruct
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language:
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- en
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library_name: transformers
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quantized_by: mradermacher
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tags:
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- mergekit
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- merge
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---
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## About
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<!-- ### quantize_version: 2 -->
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<!-- ### output_tensor_quantised: 1 -->
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<!-- ### convert_type: hf -->
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weighted/imatrix quants of https://huggingface.co/RichardErkhov/FATLLAMA-1.7T-Instruct
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The imatrix was created from the IQ4_XS quant.
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<!-- provided-files -->
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static quants are available at https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-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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| [P1](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-Q2_K.gguf.part01of13) [P2](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-Q2_K.gguf.part02of13) [P3](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-Q2_K.gguf.part03of13) [P4](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-Q2_K.gguf.part04of13) [P5](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-Q2_K.gguf.part05of13) [P6](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-Q2_K.gguf.part06of13) [P7](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-Q2_K.gguf.part07of13) [P8](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-Q2_K.gguf.part08of13) [P9](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-Q2_K.gguf.part09of13) [P10](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-Q2_K.gguf.part10of13) [P11](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-Q2_K.gguf.part11of13) [P12](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-Q2_K.gguf.part12of13) [P13](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-Q2_K.gguf.part13of13) | i1-Q2_K | 622.5 | IQ3_XXS probably better |
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| [P1](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-IQ3_XXS.gguf.part01of16) [P2](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-IQ3_XXS.gguf.part02of16) [P3](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-IQ3_XXS.gguf.part03of16) [P4](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-IQ3_XXS.gguf.part04of16) [P5](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-IQ3_XXS.gguf.part05of16) [P6](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-IQ3_XXS.gguf.part06of16) [P7](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-IQ3_XXS.gguf.part07of16) [P8](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-IQ3_XXS.gguf.part08of16) [P9](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-IQ3_XXS.gguf.part09of16) [P10](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-IQ3_XXS.gguf.part10of16) [P11](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-IQ3_XXS.gguf.part11of16) [P12](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-IQ3_XXS.gguf.part12of16) [P13](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-IQ3_XXS.gguf.part13of16) [P14](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-IQ3_XXS.gguf.part14of16) [P15](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-IQ3_XXS.gguf.part15of16) [P16](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-IQ3_XXS.gguf.part16of16) | i1-IQ3_XXS | 649.8 | lower quality |
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| [P1](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-IQ3_M.gguf.part01of17) [P2](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-IQ3_M.gguf.part02of17) [P3](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-IQ3_M.gguf.part03of17) [P4](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-IQ3_M.gguf.part04of17) [P5](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-IQ3_M.gguf.part05of17) [P6](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-IQ3_M.gguf.part06of17) [P7](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-IQ3_M.gguf.part07of17) [P8](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-IQ3_M.gguf.part08of17) [P9](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-IQ3_M.gguf.part09of17) [P10](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-IQ3_M.gguf.part10of17) [P11](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-IQ3_M.gguf.part11of17) [P12](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-IQ3_M.gguf.part12of17) [P13](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-IQ3_M.gguf.part13of17) [P14](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-IQ3_M.gguf.part14of17) [P15](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-IQ3_M.gguf.part15of17) [P16](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-IQ3_M.gguf.part16of17) [P17](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-IQ3_M.gguf.part17of17) | i1-IQ3_M | 758.1 | |
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| [P1](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-Q4_K_S.gguf.part01of20) [P2](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-Q4_K_S.gguf.part02of20) [P3](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-Q4_K_S.gguf.part03of20) [P4](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-Q4_K_S.gguf.part04of20) [P5](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-Q4_K_S.gguf.part05of20) [P6](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-Q4_K_S.gguf.part06of20) [P7](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-Q4_K_S.gguf.part07of20) [P8](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-Q4_K_S.gguf.part08of20) [P9](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-Q4_K_S.gguf.part09of20) [P10](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-Q4_K_S.gguf.part10of20) [P11](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-Q4_K_S.gguf.part11of20) [P12](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-Q4_K_S.gguf.part12of20) [P13](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-Q4_K_S.gguf.part13of20) [P14](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-Q4_K_S.gguf.part14of20) [P15](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-Q4_K_S.gguf.part15of20) [P16](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-Q4_K_S.gguf.part16of20) [P17](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-Q4_K_S.gguf.part17of20) [P18](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-Q4_K_S.gguf.part18of20) [P19](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-Q4_K_S.gguf.part19of20) [P20](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-i1-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.i1-Q4_K_S.gguf.part20of20) | i1-Q4_K_S | 961.5 | optimal size/speed/quality |
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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. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.
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<!-- end -->
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