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BigWeave-v25-95b-i1-GGUF

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GGUF
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@@ -33,13 +33,26 @@ 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/BigWeave-v25-95b-i1-GGUF/resolve/main/BigWeave-v25-95b.i1-IQ2_M.gguf) | i1-IQ2_M | 31.9 | |
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  | [GGUF](https://huggingface.co/mradermacher/BigWeave-v25-95b-i1-GGUF/resolve/main/BigWeave-v25-95b.i1-Q2_K.gguf) | i1-Q2_K | 34.9 | IQ3_XXS probably better |
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  | [GGUF](https://huggingface.co/mradermacher/BigWeave-v25-95b-i1-GGUF/resolve/main/BigWeave-v25-95b.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 36.4 | lower quality |
 
 
 
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  | [GGUF](https://huggingface.co/mradermacher/BigWeave-v25-95b-i1-GGUF/resolve/main/BigWeave-v25-95b.i1-IQ3_M.gguf) | i1-IQ3_M | 42.4 | |
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  | [GGUF](https://huggingface.co/mradermacher/BigWeave-v25-95b-i1-GGUF/resolve/main/BigWeave-v25-95b.i1-Q3_K_M.gguf) | i1-Q3_K_M | 45.6 | IQ3_S probably better |
 
 
 
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  | [PART 1](https://huggingface.co/mradermacher/BigWeave-v25-95b-i1-GGUF/resolve/main/BigWeave-v25-95b.i1-Q4_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/BigWeave-v25-95b-i1-GGUF/resolve/main/BigWeave-v25-95b.i1-Q4_K_S.gguf.part2of2) | i1-Q4_K_S | 53.8 | optimal size/speed/quality |
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  | [PART 1](https://huggingface.co/mradermacher/BigWeave-v25-95b-i1-GGUF/resolve/main/BigWeave-v25-95b.i1-Q4_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/BigWeave-v25-95b-i1-GGUF/resolve/main/BigWeave-v25-95b.i1-Q4_K_M.gguf.part2of2) | i1-Q4_K_M | 56.8 | fast, recommended |
 
 
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  | [PART 1](https://huggingface.co/mradermacher/BigWeave-v25-95b-i1-GGUF/resolve/main/BigWeave-v25-95b.i1-Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/BigWeave-v25-95b-i1-GGUF/resolve/main/BigWeave-v25-95b.i1-Q6_K.gguf.part2of2) | i1-Q6_K | 77.7 | 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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  | Link | Type | Size/GB | Notes |
35
  |:-----|:-----|--------:|:------|
36
+ | [GGUF](https://huggingface.co/mradermacher/BigWeave-v25-95b-i1-GGUF/resolve/main/BigWeave-v25-95b.i1-IQ1_S.gguf) | i1-IQ1_S | 20.0 | for the desperate |
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+ | [GGUF](https://huggingface.co/mradermacher/BigWeave-v25-95b-i1-GGUF/resolve/main/BigWeave-v25-95b.i1-IQ1_M.gguf) | i1-IQ1_M | 21.9 | mostly desperate |
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+ | [GGUF](https://huggingface.co/mradermacher/BigWeave-v25-95b-i1-GGUF/resolve/main/BigWeave-v25-95b.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 25.1 | |
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+ | [GGUF](https://huggingface.co/mradermacher/BigWeave-v25-95b-i1-GGUF/resolve/main/BigWeave-v25-95b.i1-IQ2_XS.gguf) | i1-IQ2_XS | 28.0 | |
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+ | [GGUF](https://huggingface.co/mradermacher/BigWeave-v25-95b-i1-GGUF/resolve/main/BigWeave-v25-95b.i1-IQ2_S.gguf) | i1-IQ2_S | 29.3 | |
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  | [GGUF](https://huggingface.co/mradermacher/BigWeave-v25-95b-i1-GGUF/resolve/main/BigWeave-v25-95b.i1-IQ2_M.gguf) | i1-IQ2_M | 31.9 | |
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  | [GGUF](https://huggingface.co/mradermacher/BigWeave-v25-95b-i1-GGUF/resolve/main/BigWeave-v25-95b.i1-Q2_K.gguf) | i1-Q2_K | 34.9 | IQ3_XXS probably better |
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  | [GGUF](https://huggingface.co/mradermacher/BigWeave-v25-95b-i1-GGUF/resolve/main/BigWeave-v25-95b.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 36.4 | lower quality |
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+ | [GGUF](https://huggingface.co/mradermacher/BigWeave-v25-95b-i1-GGUF/resolve/main/BigWeave-v25-95b.i1-IQ3_XS.gguf) | i1-IQ3_XS | 38.8 | |
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+ | [GGUF](https://huggingface.co/mradermacher/BigWeave-v25-95b-i1-GGUF/resolve/main/BigWeave-v25-95b.i1-Q3_K_S.gguf) | i1-Q3_K_S | 40.9 | IQ3_XS probably better |
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+ | [GGUF](https://huggingface.co/mradermacher/BigWeave-v25-95b-i1-GGUF/resolve/main/BigWeave-v25-95b.i1-IQ3_S.gguf) | i1-IQ3_S | 41.0 | beats Q3_K* |
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  | [GGUF](https://huggingface.co/mradermacher/BigWeave-v25-95b-i1-GGUF/resolve/main/BigWeave-v25-95b.i1-IQ3_M.gguf) | i1-IQ3_M | 42.4 | |
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  | [GGUF](https://huggingface.co/mradermacher/BigWeave-v25-95b-i1-GGUF/resolve/main/BigWeave-v25-95b.i1-Q3_K_M.gguf) | i1-Q3_K_M | 45.6 | IQ3_S probably better |
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+ | [GGUF](https://huggingface.co/mradermacher/BigWeave-v25-95b-i1-GGUF/resolve/main/BigWeave-v25-95b.i1-Q3_K_L.gguf) | i1-Q3_K_L | 49.7 | IQ3_M probably better |
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+ | [PART 1](https://huggingface.co/mradermacher/BigWeave-v25-95b-i1-GGUF/resolve/main/BigWeave-v25-95b.i1-IQ4_XS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/BigWeave-v25-95b-i1-GGUF/resolve/main/BigWeave-v25-95b.i1-IQ4_XS.gguf.part2of2) | i1-IQ4_XS | 50.6 | |
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+ | [PART 1](https://huggingface.co/mradermacher/BigWeave-v25-95b-i1-GGUF/resolve/main/BigWeave-v25-95b.i1-Q4_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/BigWeave-v25-95b-i1-GGUF/resolve/main/BigWeave-v25-95b.i1-Q4_0.gguf.part2of2) | i1-Q4_0 | 53.6 | fast, low quality |
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  | [PART 1](https://huggingface.co/mradermacher/BigWeave-v25-95b-i1-GGUF/resolve/main/BigWeave-v25-95b.i1-Q4_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/BigWeave-v25-95b-i1-GGUF/resolve/main/BigWeave-v25-95b.i1-Q4_K_S.gguf.part2of2) | i1-Q4_K_S | 53.8 | optimal size/speed/quality |
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  | [PART 1](https://huggingface.co/mradermacher/BigWeave-v25-95b-i1-GGUF/resolve/main/BigWeave-v25-95b.i1-Q4_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/BigWeave-v25-95b-i1-GGUF/resolve/main/BigWeave-v25-95b.i1-Q4_K_M.gguf.part2of2) | i1-Q4_K_M | 56.8 | fast, recommended |
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+ | [PART 1](https://huggingface.co/mradermacher/BigWeave-v25-95b-i1-GGUF/resolve/main/BigWeave-v25-95b.i1-Q5_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/BigWeave-v25-95b-i1-GGUF/resolve/main/BigWeave-v25-95b.i1-Q5_K_S.gguf.part2of2) | i1-Q5_K_S | 65.2 | |
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+ | [PART 1](https://huggingface.co/mradermacher/BigWeave-v25-95b-i1-GGUF/resolve/main/BigWeave-v25-95b.i1-Q5_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/BigWeave-v25-95b-i1-GGUF/resolve/main/BigWeave-v25-95b.i1-Q5_K_M.gguf.part2of2) | i1-Q5_K_M | 67.0 | |
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  | [PART 1](https://huggingface.co/mradermacher/BigWeave-v25-95b-i1-GGUF/resolve/main/BigWeave-v25-95b.i1-Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/BigWeave-v25-95b-i1-GGUF/resolve/main/BigWeave-v25-95b.i1-Q6_K.gguf.part2of2) | i1-Q6_K | 77.7 | practically like static Q6_K |
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  Here is a handy graph by ikawrakow comparing some lower-quality quant