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@@ -17,7 +17,6 @@ quantized_by: mradermacher
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  weighted/imatrix quants of https://huggingface.co/Qwen/Qwen2.5-1.5B
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  <!-- provided-files -->
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- static quants are available at https://huggingface.co/mradermacher/Qwen2.5-1.5B-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
@@ -36,6 +35,7 @@ more details, including on how to concatenate multi-part files.
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  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-i1-GGUF/resolve/main/Qwen2.5-1.5B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 0.7 | |
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  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-i1-GGUF/resolve/main/Qwen2.5-1.5B.i1-IQ2_S.gguf) | i1-IQ2_S | 0.7 | |
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  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-i1-GGUF/resolve/main/Qwen2.5-1.5B.i1-IQ2_M.gguf) | i1-IQ2_M | 0.7 | |
 
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  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-i1-GGUF/resolve/main/Qwen2.5-1.5B.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 0.8 | lower quality |
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  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-i1-GGUF/resolve/main/Qwen2.5-1.5B.i1-Q2_K.gguf) | i1-Q2_K | 0.8 | IQ3_XXS probably better |
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  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-i1-GGUF/resolve/main/Qwen2.5-1.5B.i1-IQ3_XS.gguf) | i1-IQ3_XS | 0.8 | |
@@ -48,11 +48,15 @@ more details, including on how to concatenate multi-part files.
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  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-i1-GGUF/resolve/main/Qwen2.5-1.5B.i1-Q4_0_4_4.gguf) | i1-Q4_0_4_4 | 1.0 | fast on arm, low quality |
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  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-i1-GGUF/resolve/main/Qwen2.5-1.5B.i1-Q4_0_4_8.gguf) | i1-Q4_0_4_8 | 1.0 | fast on arm+i8mm, low quality |
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  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-i1-GGUF/resolve/main/Qwen2.5-1.5B.i1-Q4_0_8_8.gguf) | i1-Q4_0_8_8 | 1.0 | fast on arm+sve, low quality |
 
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  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-i1-GGUF/resolve/main/Qwen2.5-1.5B.i1-Q4_0.gguf) | i1-Q4_0 | 1.0 | fast, low quality |
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  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-i1-GGUF/resolve/main/Qwen2.5-1.5B.i1-Q4_K_S.gguf) | i1-Q4_K_S | 1.0 | optimal size/speed/quality |
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  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-i1-GGUF/resolve/main/Qwen2.5-1.5B.i1-Q4_K_M.gguf) | i1-Q4_K_M | 1.1 | fast, recommended |
 
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  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-i1-GGUF/resolve/main/Qwen2.5-1.5B.i1-Q5_K_S.gguf) | i1-Q5_K_S | 1.2 | |
 
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  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-i1-GGUF/resolve/main/Qwen2.5-1.5B.i1-Q5_K_M.gguf) | i1-Q5_K_M | 1.2 | |
 
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  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-i1-GGUF/resolve/main/Qwen2.5-1.5B.i1-Q6_K.gguf) | i1-Q6_K | 1.4 | practically like static Q6_K |
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  Here is a handy graph by ikawrakow comparing some lower-quality quant
 
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  weighted/imatrix quants of https://huggingface.co/Qwen/Qwen2.5-1.5B
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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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  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-i1-GGUF/resolve/main/Qwen2.5-1.5B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 0.7 | |
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  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-i1-GGUF/resolve/main/Qwen2.5-1.5B.i1-IQ2_S.gguf) | i1-IQ2_S | 0.7 | |
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  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-i1-GGUF/resolve/main/Qwen2.5-1.5B.i1-IQ2_M.gguf) | i1-IQ2_M | 0.7 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-i1-GGUF/resolve/main/Qwen2.5-1.5B.i1-Q2_K_S.gguf) | i1-Q2_K_S | 0.7 | very low quality |
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  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-i1-GGUF/resolve/main/Qwen2.5-1.5B.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 0.8 | lower quality |
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  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-i1-GGUF/resolve/main/Qwen2.5-1.5B.i1-Q2_K.gguf) | i1-Q2_K | 0.8 | IQ3_XXS probably better |
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  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-i1-GGUF/resolve/main/Qwen2.5-1.5B.i1-IQ3_XS.gguf) | i1-IQ3_XS | 0.8 | |
 
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  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-i1-GGUF/resolve/main/Qwen2.5-1.5B.i1-Q4_0_4_4.gguf) | i1-Q4_0_4_4 | 1.0 | fast on arm, low quality |
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  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-i1-GGUF/resolve/main/Qwen2.5-1.5B.i1-Q4_0_4_8.gguf) | i1-Q4_0_4_8 | 1.0 | fast on arm+i8mm, low quality |
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  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-i1-GGUF/resolve/main/Qwen2.5-1.5B.i1-Q4_0_8_8.gguf) | i1-Q4_0_8_8 | 1.0 | fast on arm+sve, low quality |
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+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-i1-GGUF/resolve/main/Qwen2.5-1.5B.i1-IQ4_NL.gguf) | i1-IQ4_NL | 1.0 | prefer IQ4_XS |
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  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-i1-GGUF/resolve/main/Qwen2.5-1.5B.i1-Q4_0.gguf) | i1-Q4_0 | 1.0 | fast, low quality |
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  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-i1-GGUF/resolve/main/Qwen2.5-1.5B.i1-Q4_K_S.gguf) | i1-Q4_K_S | 1.0 | optimal size/speed/quality |
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  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-i1-GGUF/resolve/main/Qwen2.5-1.5B.i1-Q4_K_M.gguf) | i1-Q4_K_M | 1.1 | fast, recommended |
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+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-i1-GGUF/resolve/main/Qwen2.5-1.5B.i1-Q4_1.gguf) | i1-Q4_1 | 1.1 | |
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  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-i1-GGUF/resolve/main/Qwen2.5-1.5B.i1-Q5_K_S.gguf) | i1-Q5_K_S | 1.2 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-i1-GGUF/resolve/main/Qwen2.5-1.5B.i1-Q5_0.gguf) | i1-Q5_0 | 1.2 | |
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  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-i1-GGUF/resolve/main/Qwen2.5-1.5B.i1-Q5_K_M.gguf) | i1-Q5_K_M | 1.2 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-i1-GGUF/resolve/main/Qwen2.5-1.5B.i1-Q5_1.gguf) | i1-Q5_1 | 1.3 | |
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  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-i1-GGUF/resolve/main/Qwen2.5-1.5B.i1-Q6_K.gguf) | i1-Q6_K | 1.4 | practically like static Q6_K |
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  Here is a handy graph by ikawrakow comparing some lower-quality quant