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Llama-3-VNTL-Yollow-8B-GGUF

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  static quants of https://huggingface.co/Casual-Autopsy/Llama-3-VNTL-Yollow-8B
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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
@@ -36,9 +36,14 @@ more details, including on how to concatenate multi-part files.
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  | [GGUF](https://huggingface.co/mradermacher/Llama-3-VNTL-Yollow-8B-GGUF/resolve/main/Llama-3-VNTL-Yollow-8B.Q3_K_S.gguf) | Q3_K_S | 3.8 | |
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  | [GGUF](https://huggingface.co/mradermacher/Llama-3-VNTL-Yollow-8B-GGUF/resolve/main/Llama-3-VNTL-Yollow-8B.Q3_K_M.gguf) | Q3_K_M | 4.1 | lower quality |
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  | [GGUF](https://huggingface.co/mradermacher/Llama-3-VNTL-Yollow-8B-GGUF/resolve/main/Llama-3-VNTL-Yollow-8B.Q3_K_L.gguf) | Q3_K_L | 4.4 | |
 
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  | [GGUF](https://huggingface.co/mradermacher/Llama-3-VNTL-Yollow-8B-GGUF/resolve/main/Llama-3-VNTL-Yollow-8B.Q4_K_S.gguf) | Q4_K_S | 4.8 | fast, recommended |
 
 
 
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  | [GGUF](https://huggingface.co/mradermacher/Llama-3-VNTL-Yollow-8B-GGUF/resolve/main/Llama-3-VNTL-Yollow-8B.Q6_K.gguf) | Q6_K | 6.7 | very good quality |
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  | [GGUF](https://huggingface.co/mradermacher/Llama-3-VNTL-Yollow-8B-GGUF/resolve/main/Llama-3-VNTL-Yollow-8B.Q8_0.gguf) | Q8_0 | 8.6 | 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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  static quants of https://huggingface.co/Casual-Autopsy/Llama-3-VNTL-Yollow-8B
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  <!-- provided-files -->
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+ weighted/imatrix quants are available at https://huggingface.co/mradermacher/Llama-3-VNTL-Yollow-8B-i1-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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  | [GGUF](https://huggingface.co/mradermacher/Llama-3-VNTL-Yollow-8B-GGUF/resolve/main/Llama-3-VNTL-Yollow-8B.Q3_K_S.gguf) | Q3_K_S | 3.8 | |
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  | [GGUF](https://huggingface.co/mradermacher/Llama-3-VNTL-Yollow-8B-GGUF/resolve/main/Llama-3-VNTL-Yollow-8B.Q3_K_M.gguf) | Q3_K_M | 4.1 | lower quality |
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  | [GGUF](https://huggingface.co/mradermacher/Llama-3-VNTL-Yollow-8B-GGUF/resolve/main/Llama-3-VNTL-Yollow-8B.Q3_K_L.gguf) | Q3_K_L | 4.4 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Llama-3-VNTL-Yollow-8B-GGUF/resolve/main/Llama-3-VNTL-Yollow-8B.IQ4_XS.gguf) | IQ4_XS | 4.6 | |
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  | [GGUF](https://huggingface.co/mradermacher/Llama-3-VNTL-Yollow-8B-GGUF/resolve/main/Llama-3-VNTL-Yollow-8B.Q4_K_S.gguf) | Q4_K_S | 4.8 | fast, recommended |
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+ | [GGUF](https://huggingface.co/mradermacher/Llama-3-VNTL-Yollow-8B-GGUF/resolve/main/Llama-3-VNTL-Yollow-8B.Q4_K_M.gguf) | Q4_K_M | 5.0 | fast, recommended |
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+ | [GGUF](https://huggingface.co/mradermacher/Llama-3-VNTL-Yollow-8B-GGUF/resolve/main/Llama-3-VNTL-Yollow-8B.Q5_K_S.gguf) | Q5_K_S | 5.7 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Llama-3-VNTL-Yollow-8B-GGUF/resolve/main/Llama-3-VNTL-Yollow-8B.Q5_K_M.gguf) | Q5_K_M | 5.8 | |
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  | [GGUF](https://huggingface.co/mradermacher/Llama-3-VNTL-Yollow-8B-GGUF/resolve/main/Llama-3-VNTL-Yollow-8B.Q6_K.gguf) | Q6_K | 6.7 | very good quality |
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  | [GGUF](https://huggingface.co/mradermacher/Llama-3-VNTL-Yollow-8B-GGUF/resolve/main/Llama-3-VNTL-Yollow-8B.Q8_0.gguf) | Q8_0 | 8.6 | fast, best quality |
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+ | [GGUF](https://huggingface.co/mradermacher/Llama-3-VNTL-Yollow-8B-GGUF/resolve/main/Llama-3-VNTL-Yollow-8B.f16.gguf) | f16 | 16.2 | 16 bpw, overkill |
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  Here is a handy graph by ikawrakow comparing some lower-quality quant
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  types (lower is better):