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aegolius-acadicus-24b-v2-i1-GGUF

Transformers
GGUF
English
Mixture of Experts
moerge
Inference Endpoints
Model card Files Community
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@@ -32,7 +32,7 @@ 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/aegolius-acadicus-24b-v2-i1-GGUF/resolve/main/aegolius-acadicus-24b-v2.i1-IQ1_S.gguf) | i1-IQ1_S | 5.1 | for the desperate |
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- | [GGUF](https://huggingface.co/mradermacher/aegolius-acadicus-24b-v2-i1-GGUF/resolve/main/aegolius-acadicus-24b-v2.i1-IQ1_M.gguf) | i1-IQ1_M | 5.6 | for the desperate |
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  | [GGUF](https://huggingface.co/mradermacher/aegolius-acadicus-24b-v2-i1-GGUF/resolve/main/aegolius-acadicus-24b-v2.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 6.5 | |
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  | [GGUF](https://huggingface.co/mradermacher/aegolius-acadicus-24b-v2-i1-GGUF/resolve/main/aegolius-acadicus-24b-v2.i1-IQ2_XS.gguf) | i1-IQ2_XS | 7.2 | |
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  | [GGUF](https://huggingface.co/mradermacher/aegolius-acadicus-24b-v2-i1-GGUF/resolve/main/aegolius-acadicus-24b-v2.i1-IQ2_S.gguf) | i1-IQ2_S | 7.4 | |
@@ -53,7 +53,6 @@ more details, including on how to concatenate multi-part files.
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  | [GGUF](https://huggingface.co/mradermacher/aegolius-acadicus-24b-v2-i1-GGUF/resolve/main/aegolius-acadicus-24b-v2.i1-Q5_K_M.gguf) | i1-Q5_K_M | 17.2 | |
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  | [GGUF](https://huggingface.co/mradermacher/aegolius-acadicus-24b-v2-i1-GGUF/resolve/main/aegolius-acadicus-24b-v2.i1-Q6_K.gguf) | i1-Q6_K | 19.9 | practically like static Q6_K |
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-
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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/aegolius-acadicus-24b-v2-i1-GGUF/resolve/main/aegolius-acadicus-24b-v2.i1-IQ1_S.gguf) | i1-IQ1_S | 5.1 | for the desperate |
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+ | [GGUF](https://huggingface.co/mradermacher/aegolius-acadicus-24b-v2-i1-GGUF/resolve/main/aegolius-acadicus-24b-v2.i1-IQ1_M.gguf) | i1-IQ1_M | 5.6 | mostly desperate |
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  | [GGUF](https://huggingface.co/mradermacher/aegolius-acadicus-24b-v2-i1-GGUF/resolve/main/aegolius-acadicus-24b-v2.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 6.5 | |
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  | [GGUF](https://huggingface.co/mradermacher/aegolius-acadicus-24b-v2-i1-GGUF/resolve/main/aegolius-acadicus-24b-v2.i1-IQ2_XS.gguf) | i1-IQ2_XS | 7.2 | |
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  | [GGUF](https://huggingface.co/mradermacher/aegolius-acadicus-24b-v2-i1-GGUF/resolve/main/aegolius-acadicus-24b-v2.i1-IQ2_S.gguf) | i1-IQ2_S | 7.4 | |
 
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  | [GGUF](https://huggingface.co/mradermacher/aegolius-acadicus-24b-v2-i1-GGUF/resolve/main/aegolius-acadicus-24b-v2.i1-Q5_K_M.gguf) | i1-Q5_K_M | 17.2 | |
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  | [GGUF](https://huggingface.co/mradermacher/aegolius-acadicus-24b-v2-i1-GGUF/resolve/main/aegolius-acadicus-24b-v2.i1-Q6_K.gguf) | i1-Q6_K | 19.9 | 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):
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