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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: llama2 |
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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/Sao10K/Euryale-1.3-L2-70B |
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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/Euryale-1.3-L2-70B-i1-GGUF/resolve/main/Euryale-1.3-L2-70B.i1-IQ2_M.gguf) | i1-IQ2_M | 23.7 | | |
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| [GGUF](https://huggingface.co/mradermacher/Euryale-1.3-L2-70B-i1-GGUF/resolve/main/Euryale-1.3-L2-70B.i1-Q2_K.gguf) | i1-Q2_K | 25.9 | IQ3_XXS probably better | |
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| [GGUF](https://huggingface.co/mradermacher/Euryale-1.3-L2-70B-i1-GGUF/resolve/main/Euryale-1.3-L2-70B.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 27.0 | fast, lower quality | |
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| [GGUF](https://huggingface.co/mradermacher/Euryale-1.3-L2-70B-i1-GGUF/resolve/main/Euryale-1.3-L2-70B.i1-IQ3_XS.gguf) | i1-IQ3_XS | 28.6 | | |
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| [GGUF](https://huggingface.co/mradermacher/Euryale-1.3-L2-70B-i1-GGUF/resolve/main/Euryale-1.3-L2-70B.i1-IQ3_S.gguf) | i1-IQ3_S | 30.3 | fast, beats Q3_K* | |
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| [GGUF](https://huggingface.co/mradermacher/Euryale-1.3-L2-70B-i1-GGUF/resolve/main/Euryale-1.3-L2-70B.i1-Q3_K_S.gguf) | i1-Q3_K_S | 30.3 | IQ3_XS probably better | |
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| [GGUF](https://huggingface.co/mradermacher/Euryale-1.3-L2-70B-i1-GGUF/resolve/main/Euryale-1.3-L2-70B.i1-IQ3_M.gguf) | i1-IQ3_M | 31.4 | | |
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| [GGUF](https://huggingface.co/mradermacher/Euryale-1.3-L2-70B-i1-GGUF/resolve/main/Euryale-1.3-L2-70B.i1-Q3_K_M.gguf) | i1-Q3_K_M | 33.7 | IQ3_S probably better | |
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| [GGUF](https://huggingface.co/mradermacher/Euryale-1.3-L2-70B-i1-GGUF/resolve/main/Euryale-1.3-L2-70B.i1-Q3_K_L.gguf) | i1-Q3_K_L | 36.6 | IQ3_M probably better | |
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| [GGUF](https://huggingface.co/mradermacher/Euryale-1.3-L2-70B-i1-GGUF/resolve/main/Euryale-1.3-L2-70B.i1-Q4_K_S.gguf) | i1-Q4_K_S | 39.7 | almost as good as Q4_K_M | |
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| [GGUF](https://huggingface.co/mradermacher/Euryale-1.3-L2-70B-i1-GGUF/resolve/main/Euryale-1.3-L2-70B.i1-Q4_K_M.gguf) | i1-Q4_K_M | 41.8 | fast, medium quality | |
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| [GGUF](https://huggingface.co/mradermacher/Euryale-1.3-L2-70B-i1-GGUF/resolve/main/Euryale-1.3-L2-70B.i1-Q5_K_S.gguf) | i1-Q5_K_S | 47.9 | | |
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| [GGUF](https://huggingface.co/mradermacher/Euryale-1.3-L2-70B-i1-GGUF/resolve/main/Euryale-1.3-L2-70B.i1-Q5_K_M.gguf) | i1-Q5_K_M | 49.2 | best weighted quant | |
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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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