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--- |
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datasets: |
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- wenbopan/Fusang-v1 |
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- wenbopan/OpenOrca-zh-20k |
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exported_from: wenbopan/Faro-Yi-34B-200K |
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language: |
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- en |
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library_name: transformers |
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license: mit |
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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/wenbopan/Faro-Yi-34B-200K |
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**This uses my "quarter" training set of 40k tokens as the model overflowed after 25k tokens with the standard set.** |
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<!-- provided-files --> |
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static quants are available at https://huggingface.co/mradermacher/Faro-Yi-34B-200K-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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| [GGUF](https://huggingface.co/mradermacher/Faro-Yi-34B-200K-i1-GGUF/resolve/main/Faro-Yi-34B-200K.i1-IQ2_M.gguf) | i1-IQ2_M | 12.5 | | |
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| [GGUF](https://huggingface.co/mradermacher/Faro-Yi-34B-200K-i1-GGUF/resolve/main/Faro-Yi-34B-200K.i1-Q2_K.gguf) | i1-Q2_K | 13.5 | IQ3_XXS probably better | |
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| [GGUF](https://huggingface.co/mradermacher/Faro-Yi-34B-200K-i1-GGUF/resolve/main/Faro-Yi-34B-200K.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 14.0 | lower quality | |
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| [GGUF](https://huggingface.co/mradermacher/Faro-Yi-34B-200K-i1-GGUF/resolve/main/Faro-Yi-34B-200K.i1-IQ3_XS.gguf) | i1-IQ3_XS | 14.9 | | |
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| [GGUF](https://huggingface.co/mradermacher/Faro-Yi-34B-200K-i1-GGUF/resolve/main/Faro-Yi-34B-200K.i1-Q3_K_S.gguf) | i1-Q3_K_S | 15.6 | IQ3_XS probably better | |
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| [GGUF](https://huggingface.co/mradermacher/Faro-Yi-34B-200K-i1-GGUF/resolve/main/Faro-Yi-34B-200K.i1-Q3_K_M.gguf) | i1-Q3_K_M | 17.3 | IQ3_S probably better | |
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| [GGUF](https://huggingface.co/mradermacher/Faro-Yi-34B-200K-i1-GGUF/resolve/main/Faro-Yi-34B-200K.i1-Q3_K_L.gguf) | i1-Q3_K_L | 18.8 | IQ3_M probably better | |
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| [GGUF](https://huggingface.co/mradermacher/Faro-Yi-34B-200K-i1-GGUF/resolve/main/Faro-Yi-34B-200K.i1-IQ4_XS.gguf) | i1-IQ4_XS | 19.1 | | |
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| [GGUF](https://huggingface.co/mradermacher/Faro-Yi-34B-200K-i1-GGUF/resolve/main/Faro-Yi-34B-200K.i1-Q4_0.gguf) | i1-Q4_0 | 20.2 | fast, low quality | |
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| [GGUF](https://huggingface.co/mradermacher/Faro-Yi-34B-200K-i1-GGUF/resolve/main/Faro-Yi-34B-200K.i1-Q4_K_S.gguf) | i1-Q4_K_S | 20.2 | optimal size/speed/quality | |
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| [GGUF](https://huggingface.co/mradermacher/Faro-Yi-34B-200K-i1-GGUF/resolve/main/Faro-Yi-34B-200K.i1-Q4_K_M.gguf) | i1-Q4_K_M | 21.3 | fast, recommended | |
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| [GGUF](https://huggingface.co/mradermacher/Faro-Yi-34B-200K-i1-GGUF/resolve/main/Faro-Yi-34B-200K.i1-Q5_K_S.gguf) | i1-Q5_K_S | 24.3 | | |
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| [GGUF](https://huggingface.co/mradermacher/Faro-Yi-34B-200K-i1-GGUF/resolve/main/Faro-Yi-34B-200K.i1-Q5_K_M.gguf) | i1-Q5_K_M | 25.0 | | |
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| [GGUF](https://huggingface.co/mradermacher/Faro-Yi-34B-200K-i1-GGUF/resolve/main/Faro-Yi-34B-200K.i1-Q6_K.gguf) | i1-Q6_K | 28.9 | 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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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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