auto-patch README.md
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README.md
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static quants of https://huggingface.co/01-ai/Yi-1.5-34B
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<!-- provided-files -->
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weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
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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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| Link | Type | Size/GB | Notes |
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| [GGUF](https://huggingface.co/mradermacher/Yi-1.5-34B-GGUF/resolve/main/Yi-1.5-34B.Q8_0.gguf) | Q8_0 | 36.6 | fast, best quality |
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Here is a handy graph by ikawrakow comparing some lower-quality quant
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static quants of https://huggingface.co/01-ai/Yi-1.5-34B
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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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| Link | Type | Size/GB | Notes |
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|:-----|:-----|--------:|:------|
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| [GGUF](https://huggingface.co/mradermacher/Yi-1.5-34B-GGUF/resolve/main/Yi-1.5-34B.Q2_K.gguf) | Q2_K | 12.9 | |
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| [GGUF](https://huggingface.co/mradermacher/Yi-1.5-34B-GGUF/resolve/main/Yi-1.5-34B.IQ3_XS.gguf) | IQ3_XS | 14.3 | |
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| [GGUF](https://huggingface.co/mradermacher/Yi-1.5-34B-GGUF/resolve/main/Yi-1.5-34B.Q3_K_S.gguf) | Q3_K_S | 15.1 | |
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| [GGUF](https://huggingface.co/mradermacher/Yi-1.5-34B-GGUF/resolve/main/Yi-1.5-34B.IQ3_S.gguf) | IQ3_S | 15.1 | beats Q3_K* |
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| [GGUF](https://huggingface.co/mradermacher/Yi-1.5-34B-GGUF/resolve/main/Yi-1.5-34B.IQ3_M.gguf) | IQ3_M | 15.7 | |
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| [GGUF](https://huggingface.co/mradermacher/Yi-1.5-34B-GGUF/resolve/main/Yi-1.5-34B.Q3_K_M.gguf) | Q3_K_M | 16.8 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/Yi-1.5-34B-GGUF/resolve/main/Yi-1.5-34B.Q3_K_L.gguf) | Q3_K_L | 18.2 | |
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| [GGUF](https://huggingface.co/mradermacher/Yi-1.5-34B-GGUF/resolve/main/Yi-1.5-34B.IQ4_XS.gguf) | IQ4_XS | 18.7 | |
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| [GGUF](https://huggingface.co/mradermacher/Yi-1.5-34B-GGUF/resolve/main/Yi-1.5-34B.Q4_K_S.gguf) | Q4_K_S | 19.7 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/Yi-1.5-34B-GGUF/resolve/main/Yi-1.5-34B.Q4_K_M.gguf) | Q4_K_M | 20.8 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/Yi-1.5-34B-GGUF/resolve/main/Yi-1.5-34B.Q5_K_S.gguf) | Q5_K_S | 23.8 | |
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| [GGUF](https://huggingface.co/mradermacher/Yi-1.5-34B-GGUF/resolve/main/Yi-1.5-34B.Q5_K_M.gguf) | Q5_K_M | 24.4 | |
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| [GGUF](https://huggingface.co/mradermacher/Yi-1.5-34B-GGUF/resolve/main/Yi-1.5-34B.Q6_K.gguf) | Q6_K | 28.3 | very good quality |
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| [GGUF](https://huggingface.co/mradermacher/Yi-1.5-34B-GGUF/resolve/main/Yi-1.5-34B.Q8_0.gguf) | Q8_0 | 36.6 | fast, best quality |
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Here is a handy graph by ikawrakow comparing some lower-quality quant
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