Transformers
GGUF
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Inference Endpoints
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@@ -33,8 +33,27 @@ 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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  | [PART 1](https://huggingface.co/mradermacher/SchizoGPT-8x22B-i1-GGUF/resolve/main/SchizoGPT-8x22B.i1-Q2_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/SchizoGPT-8x22B-i1-GGUF/resolve/main/SchizoGPT-8x22B.i1-Q2_K.gguf.part2of2) | i1-Q2_K | 52.2 | IQ3_XXS probably better |
 
 
 
 
 
 
 
 
 
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  | [PART 1](https://huggingface.co/mradermacher/SchizoGPT-8x22B-i1-GGUF/resolve/main/SchizoGPT-8x22B.i1-Q4_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/SchizoGPT-8x22B-i1-GGUF/resolve/main/SchizoGPT-8x22B.i1-Q4_K_S.gguf.part2of2) | i1-Q4_K_S | 80.6 | optimal size/speed/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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  | Link | Type | Size/GB | Notes |
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  |:-----|:-----|--------:|:------|
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+ | [GGUF](https://huggingface.co/mradermacher/SchizoGPT-8x22B-i1-GGUF/resolve/main/SchizoGPT-8x22B.i1-IQ1_S.gguf) | i1-IQ1_S | 29.7 | for the desperate |
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+ | [GGUF](https://huggingface.co/mradermacher/SchizoGPT-8x22B-i1-GGUF/resolve/main/SchizoGPT-8x22B.i1-IQ1_M.gguf) | i1-IQ1_M | 32.8 | mostly desperate |
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+ | [GGUF](https://huggingface.co/mradermacher/SchizoGPT-8x22B-i1-GGUF/resolve/main/SchizoGPT-8x22B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 38.0 | |
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+ | [GGUF](https://huggingface.co/mradermacher/SchizoGPT-8x22B-i1-GGUF/resolve/main/SchizoGPT-8x22B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 42.1 | |
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+ | [GGUF](https://huggingface.co/mradermacher/SchizoGPT-8x22B-i1-GGUF/resolve/main/SchizoGPT-8x22B.i1-IQ2_S.gguf) | i1-IQ2_S | 42.7 | |
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+ | [GGUF](https://huggingface.co/mradermacher/SchizoGPT-8x22B-i1-GGUF/resolve/main/SchizoGPT-8x22B.i1-IQ2_M.gguf) | i1-IQ2_M | 46.8 | |
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  | [PART 1](https://huggingface.co/mradermacher/SchizoGPT-8x22B-i1-GGUF/resolve/main/SchizoGPT-8x22B.i1-Q2_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/SchizoGPT-8x22B-i1-GGUF/resolve/main/SchizoGPT-8x22B.i1-Q2_K.gguf.part2of2) | i1-Q2_K | 52.2 | IQ3_XXS probably better |
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+ | [PART 1](https://huggingface.co/mradermacher/SchizoGPT-8x22B-i1-GGUF/resolve/main/SchizoGPT-8x22B.i1-IQ3_XXS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/SchizoGPT-8x22B-i1-GGUF/resolve/main/SchizoGPT-8x22B.i1-IQ3_XXS.gguf.part2of2) | i1-IQ3_XXS | 55.0 | lower quality |
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+ | [PART 1](https://huggingface.co/mradermacher/SchizoGPT-8x22B-i1-GGUF/resolve/main/SchizoGPT-8x22B.i1-IQ3_XS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/SchizoGPT-8x22B-i1-GGUF/resolve/main/SchizoGPT-8x22B.i1-IQ3_XS.gguf.part2of2) | i1-IQ3_XS | 58.3 | |
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+ | [PART 1](https://huggingface.co/mradermacher/SchizoGPT-8x22B-i1-GGUF/resolve/main/SchizoGPT-8x22B.i1-IQ3_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/SchizoGPT-8x22B-i1-GGUF/resolve/main/SchizoGPT-8x22B.i1-IQ3_S.gguf.part2of2) | i1-IQ3_S | 61.6 | beats Q3_K* |
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+ | [PART 1](https://huggingface.co/mradermacher/SchizoGPT-8x22B-i1-GGUF/resolve/main/SchizoGPT-8x22B.i1-Q3_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/SchizoGPT-8x22B-i1-GGUF/resolve/main/SchizoGPT-8x22B.i1-Q3_K_S.gguf.part2of2) | i1-Q3_K_S | 61.6 | IQ3_XS probably better |
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+ | [PART 1](https://huggingface.co/mradermacher/SchizoGPT-8x22B-i1-GGUF/resolve/main/SchizoGPT-8x22B.i1-IQ3_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/SchizoGPT-8x22B-i1-GGUF/resolve/main/SchizoGPT-8x22B.i1-IQ3_M.gguf.part2of2) | i1-IQ3_M | 64.6 | |
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+ | [PART 1](https://huggingface.co/mradermacher/SchizoGPT-8x22B-i1-GGUF/resolve/main/SchizoGPT-8x22B.i1-Q3_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/SchizoGPT-8x22B-i1-GGUF/resolve/main/SchizoGPT-8x22B.i1-Q3_K_M.gguf.part2of2) | i1-Q3_K_M | 67.9 | IQ3_S probably better |
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+ | [PART 1](https://huggingface.co/mradermacher/SchizoGPT-8x22B-i1-GGUF/resolve/main/SchizoGPT-8x22B.i1-Q3_K_L.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/SchizoGPT-8x22B-i1-GGUF/resolve/main/SchizoGPT-8x22B.i1-Q3_K_L.gguf.part2of2) | i1-Q3_K_L | 72.7 | IQ3_M probably better |
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+ | [PART 1](https://huggingface.co/mradermacher/SchizoGPT-8x22B-i1-GGUF/resolve/main/SchizoGPT-8x22B.i1-IQ4_XS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/SchizoGPT-8x22B-i1-GGUF/resolve/main/SchizoGPT-8x22B.i1-IQ4_XS.gguf.part2of2) | i1-IQ4_XS | 75.6 | |
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+ | [PART 1](https://huggingface.co/mradermacher/SchizoGPT-8x22B-i1-GGUF/resolve/main/SchizoGPT-8x22B.i1-Q4_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/SchizoGPT-8x22B-i1-GGUF/resolve/main/SchizoGPT-8x22B.i1-Q4_0.gguf.part2of2) | i1-Q4_0 | 80.0 | fast, low quality |
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  | [PART 1](https://huggingface.co/mradermacher/SchizoGPT-8x22B-i1-GGUF/resolve/main/SchizoGPT-8x22B.i1-Q4_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/SchizoGPT-8x22B-i1-GGUF/resolve/main/SchizoGPT-8x22B.i1-Q4_K_S.gguf.part2of2) | i1-Q4_K_S | 80.6 | optimal size/speed/quality |
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+ | [PART 1](https://huggingface.co/mradermacher/SchizoGPT-8x22B-i1-GGUF/resolve/main/SchizoGPT-8x22B.i1-Q4_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/SchizoGPT-8x22B-i1-GGUF/resolve/main/SchizoGPT-8x22B.i1-Q4_K_M.gguf.part2of2) | i1-Q4_K_M | 85.7 | fast, recommended |
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+ | [PART 1](https://huggingface.co/mradermacher/SchizoGPT-8x22B-i1-GGUF/resolve/main/SchizoGPT-8x22B.i1-Q5_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/SchizoGPT-8x22B-i1-GGUF/resolve/main/SchizoGPT-8x22B.i1-Q5_K_S.gguf.part2of2) | i1-Q5_K_S | 97.1 | |
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+ | [PART 1](https://huggingface.co/mradermacher/SchizoGPT-8x22B-i1-GGUF/resolve/main/SchizoGPT-8x22B.i1-Q5_K_M.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/SchizoGPT-8x22B-i1-GGUF/resolve/main/SchizoGPT-8x22B.i1-Q5_K_M.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/SchizoGPT-8x22B-i1-GGUF/resolve/main/SchizoGPT-8x22B.i1-Q5_K_M.gguf.part3of3) | i1-Q5_K_M | 100.1 | |
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+ | [PART 1](https://huggingface.co/mradermacher/SchizoGPT-8x22B-i1-GGUF/resolve/main/SchizoGPT-8x22B.i1-Q6_K.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/SchizoGPT-8x22B-i1-GGUF/resolve/main/SchizoGPT-8x22B.i1-Q6_K.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/SchizoGPT-8x22B-i1-GGUF/resolve/main/SchizoGPT-8x22B.i1-Q6_K.gguf.part3of3) | i1-Q6_K | 115.6 | 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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  types (lower is better):