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README.md
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static quants of https://huggingface.co/llmixer/BigWeave-v20-110b
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---
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language:
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- en
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library_name: transformers
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license: unknown
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quantized_by: mradermacher
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tags:
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- frankenmerge
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- 110b
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---
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## About
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static quants of https://huggingface.co/llmixer/BigWeave-v20-110b
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<!-- provided-files -->
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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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| [GGUF](https://huggingface.co/mradermacher/BigWeave-v20-110b-GGUF/resolve/main/BigWeave-v20-110b.Q2_K.gguf) | Q2_K | 40.8 | |
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| [GGUF](https://huggingface.co/mradermacher/BigWeave-v20-110b-GGUF/resolve/main/BigWeave-v20-110b.IQ3_XS.gguf) | IQ3_XS | 45.2 | |
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| [GGUF](https://huggingface.co/mradermacher/BigWeave-v20-110b-GGUF/resolve/main/BigWeave-v20-110b.Q3_K_S.gguf) | Q3_K_S | 47.8 | |
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| [GGUF](https://huggingface.co/mradermacher/BigWeave-v20-110b-GGUF/resolve/main/BigWeave-v20-110b.IQ3_S.gguf) | IQ3_S | 47.9 | fast, beats Q3_K* |
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| [GGUF](https://huggingface.co/mradermacher/BigWeave-v20-110b-GGUF/resolve/main/BigWeave-v20-110b.IQ3_M.gguf) | IQ3_M | 49.6 | |
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| [PART 1](https://huggingface.co/mradermacher/BigWeave-v20-110b-GGUF/resolve/main/BigWeave-v20-110b.Q3_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/BigWeave-v20-110b-GGUF/resolve/main/BigWeave-v20-110b.Q3_K_M.gguf.part2of2) | Q3_K_M | 53.3 | lower quality |
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| [PART 1](https://huggingface.co/mradermacher/BigWeave-v20-110b-GGUF/resolve/main/BigWeave-v20-110b.Q3_K_L.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/BigWeave-v20-110b-GGUF/resolve/main/BigWeave-v20-110b.Q3_K_L.gguf.part2of2) | Q3_K_L | 58.0 | |
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| [PART 1](https://huggingface.co/mradermacher/BigWeave-v20-110b-GGUF/resolve/main/BigWeave-v20-110b.Q4_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/BigWeave-v20-110b-GGUF/resolve/main/BigWeave-v20-110b.Q4_K_S.gguf.part2of2) | Q4_K_S | 62.9 | fast, medium quality |
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| [PART 1](https://huggingface.co/mradermacher/BigWeave-v20-110b-GGUF/resolve/main/BigWeave-v20-110b.Q4_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/BigWeave-v20-110b-GGUF/resolve/main/BigWeave-v20-110b.Q4_K_M.gguf.part2of2) | Q4_K_M | 66.4 | fast, medium quality |
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| [PART 1](https://huggingface.co/mradermacher/BigWeave-v20-110b-GGUF/resolve/main/BigWeave-v20-110b.Q5_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/BigWeave-v20-110b-GGUF/resolve/main/BigWeave-v20-110b.Q5_K_S.gguf.part2of2) | Q5_K_S | 76.1 | |
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| [PART 1](https://huggingface.co/mradermacher/BigWeave-v20-110b-GGUF/resolve/main/BigWeave-v20-110b.Q5_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/BigWeave-v20-110b-GGUF/resolve/main/BigWeave-v20-110b.Q5_K_M.gguf.part2of2) | Q5_K_M | 78.2 | |
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| [PART 1](https://huggingface.co/mradermacher/BigWeave-v20-110b-GGUF/resolve/main/BigWeave-v20-110b.Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/BigWeave-v20-110b-GGUF/resolve/main/BigWeave-v20-110b.Q6_K.gguf.part2of2) | Q6_K | 90.7 | very good quality |
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| [PART 1](https://huggingface.co/mradermacher/BigWeave-v20-110b-GGUF/resolve/main/BigWeave-v20-110b.Q8_0.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/BigWeave-v20-110b-GGUF/resolve/main/BigWeave-v20-110b.Q8_0.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/BigWeave-v20-110b-GGUF/resolve/main/BigWeave-v20-110b.Q8_0.gguf.part3of3) | Q8_0 | 117.3 | fast, best 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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And here are Artefact2's thoughts on the matter:
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https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
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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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<!-- end -->
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