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Llama-3-70b-Uncensored-Lumi-Tess-gradient-GGUF

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  static quants of https://huggingface.co/ryzen88/Llama-3-70b-Uncensored-Lumi-Tess-gradient
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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
@@ -33,8 +33,19 @@ more details, including on how to concatenate multi-part files.
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  | Link | Type | Size/GB | Notes |
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  |:-----|:-----|--------:|:------|
 
 
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  | [GGUF](https://huggingface.co/mradermacher/Llama-3-70b-Uncensored-Lumi-Tess-gradient-GGUF/resolve/main/Llama-3-70b-Uncensored-Lumi-Tess-gradient.IQ3_S.gguf) | IQ3_S | 31.0 | beats Q3_K* |
 
 
 
 
 
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  | [GGUF](https://huggingface.co/mradermacher/Llama-3-70b-Uncensored-Lumi-Tess-gradient-GGUF/resolve/main/Llama-3-70b-Uncensored-Lumi-Tess-gradient.Q4_K_S.gguf) | Q4_K_S | 40.4 | fast, recommended |
 
 
 
 
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  | [PART 1](https://huggingface.co/mradermacher/Llama-3-70b-Uncensored-Lumi-Tess-gradient-GGUF/resolve/main/Llama-3-70b-Uncensored-Lumi-Tess-gradient.Q8_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Llama-3-70b-Uncensored-Lumi-Tess-gradient-GGUF/resolve/main/Llama-3-70b-Uncensored-Lumi-Tess-gradient.Q8_0.gguf.part2of2) | Q8_0 | 75.1 | 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/ryzen88/Llama-3-70b-Uncensored-Lumi-Tess-gradient
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  <!-- provided-files -->
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+ weighted/imatrix quants are available at https://huggingface.co/mradermacher/Llama-3-70b-Uncensored-Lumi-Tess-gradient-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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  | Link | Type | Size/GB | Notes |
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  |:-----|:-----|--------:|:------|
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+ | [GGUF](https://huggingface.co/mradermacher/Llama-3-70b-Uncensored-Lumi-Tess-gradient-GGUF/resolve/main/Llama-3-70b-Uncensored-Lumi-Tess-gradient.Q2_K.gguf) | Q2_K | 26.5 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Llama-3-70b-Uncensored-Lumi-Tess-gradient-GGUF/resolve/main/Llama-3-70b-Uncensored-Lumi-Tess-gradient.IQ3_XS.gguf) | IQ3_XS | 29.4 | |
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  | [GGUF](https://huggingface.co/mradermacher/Llama-3-70b-Uncensored-Lumi-Tess-gradient-GGUF/resolve/main/Llama-3-70b-Uncensored-Lumi-Tess-gradient.IQ3_S.gguf) | IQ3_S | 31.0 | beats Q3_K* |
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+ | [GGUF](https://huggingface.co/mradermacher/Llama-3-70b-Uncensored-Lumi-Tess-gradient-GGUF/resolve/main/Llama-3-70b-Uncensored-Lumi-Tess-gradient.Q3_K_S.gguf) | Q3_K_S | 31.0 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Llama-3-70b-Uncensored-Lumi-Tess-gradient-GGUF/resolve/main/Llama-3-70b-Uncensored-Lumi-Tess-gradient.IQ3_M.gguf) | IQ3_M | 32.0 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Llama-3-70b-Uncensored-Lumi-Tess-gradient-GGUF/resolve/main/Llama-3-70b-Uncensored-Lumi-Tess-gradient.Q3_K_M.gguf) | Q3_K_M | 34.4 | lower quality |
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+ | [GGUF](https://huggingface.co/mradermacher/Llama-3-70b-Uncensored-Lumi-Tess-gradient-GGUF/resolve/main/Llama-3-70b-Uncensored-Lumi-Tess-gradient.Q3_K_L.gguf) | Q3_K_L | 37.2 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Llama-3-70b-Uncensored-Lumi-Tess-gradient-GGUF/resolve/main/Llama-3-70b-Uncensored-Lumi-Tess-gradient.IQ4_XS.gguf) | IQ4_XS | 38.4 | |
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  | [GGUF](https://huggingface.co/mradermacher/Llama-3-70b-Uncensored-Lumi-Tess-gradient-GGUF/resolve/main/Llama-3-70b-Uncensored-Lumi-Tess-gradient.Q4_K_S.gguf) | Q4_K_S | 40.4 | fast, recommended |
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+ | [GGUF](https://huggingface.co/mradermacher/Llama-3-70b-Uncensored-Lumi-Tess-gradient-GGUF/resolve/main/Llama-3-70b-Uncensored-Lumi-Tess-gradient.Q4_K_M.gguf) | Q4_K_M | 42.6 | fast, recommended |
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+ | [GGUF](https://huggingface.co/mradermacher/Llama-3-70b-Uncensored-Lumi-Tess-gradient-GGUF/resolve/main/Llama-3-70b-Uncensored-Lumi-Tess-gradient.Q5_K_S.gguf) | Q5_K_S | 48.8 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Llama-3-70b-Uncensored-Lumi-Tess-gradient-GGUF/resolve/main/Llama-3-70b-Uncensored-Lumi-Tess-gradient.Q5_K_M.gguf) | Q5_K_M | 50.0 | |
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+ | [PART 1](https://huggingface.co/mradermacher/Llama-3-70b-Uncensored-Lumi-Tess-gradient-GGUF/resolve/main/Llama-3-70b-Uncensored-Lumi-Tess-gradient.Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Llama-3-70b-Uncensored-Lumi-Tess-gradient-GGUF/resolve/main/Llama-3-70b-Uncensored-Lumi-Tess-gradient.Q6_K.gguf.part2of2) | Q6_K | 58.0 | very good quality |
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  | [PART 1](https://huggingface.co/mradermacher/Llama-3-70b-Uncensored-Lumi-Tess-gradient-GGUF/resolve/main/Llama-3-70b-Uncensored-Lumi-Tess-gradient.Q8_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Llama-3-70b-Uncensored-Lumi-Tess-gradient-GGUF/resolve/main/Llama-3-70b-Uncensored-Lumi-Tess-gradient.Q8_0.gguf.part2of2) | Q8_0 | 75.1 | fast, best quality |
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  Here is a handy graph by ikawrakow comparing some lower-quality quant