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Howdy-8B-LINEAR-i1-GGUF

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@@ -38,15 +38,20 @@ more details, including on how to concatenate multi-part files.
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  | [GGUF](https://huggingface.co/mradermacher/Howdy-8B-LINEAR-i1-GGUF/resolve/main/Howdy-8B-LINEAR.i1-Q2_K_S.gguf) | i1-Q2_K_S | 3.1 | very low quality |
39
  | [GGUF](https://huggingface.co/mradermacher/Howdy-8B-LINEAR-i1-GGUF/resolve/main/Howdy-8B-LINEAR.i1-Q2_K.gguf) | i1-Q2_K | 3.3 | IQ3_XXS probably better |
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  | [GGUF](https://huggingface.co/mradermacher/Howdy-8B-LINEAR-i1-GGUF/resolve/main/Howdy-8B-LINEAR.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 3.4 | lower quality |
 
41
  | [GGUF](https://huggingface.co/mradermacher/Howdy-8B-LINEAR-i1-GGUF/resolve/main/Howdy-8B-LINEAR.i1-Q3_K_S.gguf) | i1-Q3_K_S | 3.8 | IQ3_XS probably better |
 
42
  | [GGUF](https://huggingface.co/mradermacher/Howdy-8B-LINEAR-i1-GGUF/resolve/main/Howdy-8B-LINEAR.i1-IQ3_M.gguf) | i1-IQ3_M | 3.9 | |
43
  | [GGUF](https://huggingface.co/mradermacher/Howdy-8B-LINEAR-i1-GGUF/resolve/main/Howdy-8B-LINEAR.i1-Q3_K_M.gguf) | i1-Q3_K_M | 4.1 | IQ3_S probably better |
44
  | [GGUF](https://huggingface.co/mradermacher/Howdy-8B-LINEAR-i1-GGUF/resolve/main/Howdy-8B-LINEAR.i1-Q3_K_L.gguf) | i1-Q3_K_L | 4.4 | IQ3_M probably better |
45
  | [GGUF](https://huggingface.co/mradermacher/Howdy-8B-LINEAR-i1-GGUF/resolve/main/Howdy-8B-LINEAR.i1-IQ4_XS.gguf) | i1-IQ4_XS | 4.5 | |
 
46
  | [GGUF](https://huggingface.co/mradermacher/Howdy-8B-LINEAR-i1-GGUF/resolve/main/Howdy-8B-LINEAR.i1-IQ4_NL.gguf) | i1-IQ4_NL | 4.8 | prefer IQ4_XS |
47
  | [GGUF](https://huggingface.co/mradermacher/Howdy-8B-LINEAR-i1-GGUF/resolve/main/Howdy-8B-LINEAR.i1-Q4_K_S.gguf) | i1-Q4_K_S | 4.8 | optimal size/speed/quality |
48
  | [GGUF](https://huggingface.co/mradermacher/Howdy-8B-LINEAR-i1-GGUF/resolve/main/Howdy-8B-LINEAR.i1-Q4_K_M.gguf) | i1-Q4_K_M | 5.0 | fast, recommended |
 
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  | [GGUF](https://huggingface.co/mradermacher/Howdy-8B-LINEAR-i1-GGUF/resolve/main/Howdy-8B-LINEAR.i1-Q5_K_S.gguf) | i1-Q5_K_S | 5.7 | |
 
50
  | [GGUF](https://huggingface.co/mradermacher/Howdy-8B-LINEAR-i1-GGUF/resolve/main/Howdy-8B-LINEAR.i1-Q6_K.gguf) | i1-Q6_K | 6.7 | practically like static Q6_K |
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52
  Here is a handy graph by ikawrakow comparing some lower-quality quant
 
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  | [GGUF](https://huggingface.co/mradermacher/Howdy-8B-LINEAR-i1-GGUF/resolve/main/Howdy-8B-LINEAR.i1-Q2_K_S.gguf) | i1-Q2_K_S | 3.1 | very low quality |
39
  | [GGUF](https://huggingface.co/mradermacher/Howdy-8B-LINEAR-i1-GGUF/resolve/main/Howdy-8B-LINEAR.i1-Q2_K.gguf) | i1-Q2_K | 3.3 | IQ3_XXS probably better |
40
  | [GGUF](https://huggingface.co/mradermacher/Howdy-8B-LINEAR-i1-GGUF/resolve/main/Howdy-8B-LINEAR.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 3.4 | lower quality |
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+ | [GGUF](https://huggingface.co/mradermacher/Howdy-8B-LINEAR-i1-GGUF/resolve/main/Howdy-8B-LINEAR.i1-IQ3_XS.gguf) | i1-IQ3_XS | 3.6 | |
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  | [GGUF](https://huggingface.co/mradermacher/Howdy-8B-LINEAR-i1-GGUF/resolve/main/Howdy-8B-LINEAR.i1-Q3_K_S.gguf) | i1-Q3_K_S | 3.8 | IQ3_XS probably better |
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+ | [GGUF](https://huggingface.co/mradermacher/Howdy-8B-LINEAR-i1-GGUF/resolve/main/Howdy-8B-LINEAR.i1-IQ3_S.gguf) | i1-IQ3_S | 3.8 | beats Q3_K* |
44
  | [GGUF](https://huggingface.co/mradermacher/Howdy-8B-LINEAR-i1-GGUF/resolve/main/Howdy-8B-LINEAR.i1-IQ3_M.gguf) | i1-IQ3_M | 3.9 | |
45
  | [GGUF](https://huggingface.co/mradermacher/Howdy-8B-LINEAR-i1-GGUF/resolve/main/Howdy-8B-LINEAR.i1-Q3_K_M.gguf) | i1-Q3_K_M | 4.1 | IQ3_S probably better |
46
  | [GGUF](https://huggingface.co/mradermacher/Howdy-8B-LINEAR-i1-GGUF/resolve/main/Howdy-8B-LINEAR.i1-Q3_K_L.gguf) | i1-Q3_K_L | 4.4 | IQ3_M probably better |
47
  | [GGUF](https://huggingface.co/mradermacher/Howdy-8B-LINEAR-i1-GGUF/resolve/main/Howdy-8B-LINEAR.i1-IQ4_XS.gguf) | i1-IQ4_XS | 4.5 | |
48
+ | [GGUF](https://huggingface.co/mradermacher/Howdy-8B-LINEAR-i1-GGUF/resolve/main/Howdy-8B-LINEAR.i1-Q4_0.gguf) | i1-Q4_0 | 4.8 | fast, low quality |
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  | [GGUF](https://huggingface.co/mradermacher/Howdy-8B-LINEAR-i1-GGUF/resolve/main/Howdy-8B-LINEAR.i1-IQ4_NL.gguf) | i1-IQ4_NL | 4.8 | prefer IQ4_XS |
50
  | [GGUF](https://huggingface.co/mradermacher/Howdy-8B-LINEAR-i1-GGUF/resolve/main/Howdy-8B-LINEAR.i1-Q4_K_S.gguf) | i1-Q4_K_S | 4.8 | optimal size/speed/quality |
51
  | [GGUF](https://huggingface.co/mradermacher/Howdy-8B-LINEAR-i1-GGUF/resolve/main/Howdy-8B-LINEAR.i1-Q4_K_M.gguf) | i1-Q4_K_M | 5.0 | fast, recommended |
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+ | [GGUF](https://huggingface.co/mradermacher/Howdy-8B-LINEAR-i1-GGUF/resolve/main/Howdy-8B-LINEAR.i1-Q4_1.gguf) | i1-Q4_1 | 5.2 | |
53
  | [GGUF](https://huggingface.co/mradermacher/Howdy-8B-LINEAR-i1-GGUF/resolve/main/Howdy-8B-LINEAR.i1-Q5_K_S.gguf) | i1-Q5_K_S | 5.7 | |
54
+ | [GGUF](https://huggingface.co/mradermacher/Howdy-8B-LINEAR-i1-GGUF/resolve/main/Howdy-8B-LINEAR.i1-Q5_K_M.gguf) | i1-Q5_K_M | 5.8 | |
55
  | [GGUF](https://huggingface.co/mradermacher/Howdy-8B-LINEAR-i1-GGUF/resolve/main/Howdy-8B-LINEAR.i1-Q6_K.gguf) | i1-Q6_K | 6.7 | practically like static Q6_K |
56
 
57
  Here is a handy graph by ikawrakow comparing some lower-quality quant