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Contextual-Obedient-MoE-3x8B-Llama3-RAG-GGUF

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@@ -16,7 +16,7 @@ quantized_by: mradermacher
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  static quants of https://huggingface.co/TroyDoesAI/Contextual-Obedient-MoE-3x8B-Llama3-RAG
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  <!-- provided-files -->
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- weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
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  ## Usage
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  If you are unsure how to use GGUF files, refer to one of [TheBloke's
@@ -30,10 +30,17 @@ 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/Contextual-Obedient-MoE-3x8B-Llama3-RAG-GGUF/resolve/main/Contextual-Obedient-MoE-3x8B-Llama3-RAG.Q2_K.gguf) | Q2_K | 7.4 | |
 
 
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  | [GGUF](https://huggingface.co/mradermacher/Contextual-Obedient-MoE-3x8B-Llama3-RAG-GGUF/resolve/main/Contextual-Obedient-MoE-3x8B-Llama3-RAG.IQ3_S.gguf) | IQ3_S | 8.6 | beats Q3_K* |
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  | [GGUF](https://huggingface.co/mradermacher/Contextual-Obedient-MoE-3x8B-Llama3-RAG-GGUF/resolve/main/Contextual-Obedient-MoE-3x8B-Llama3-RAG.IQ3_M.gguf) | IQ3_M | 8.8 | |
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  | [GGUF](https://huggingface.co/mradermacher/Contextual-Obedient-MoE-3x8B-Llama3-RAG-GGUF/resolve/main/Contextual-Obedient-MoE-3x8B-Llama3-RAG.Q3_K_M.gguf) | Q3_K_M | 9.5 | lower quality |
 
 
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  | [GGUF](https://huggingface.co/mradermacher/Contextual-Obedient-MoE-3x8B-Llama3-RAG-GGUF/resolve/main/Contextual-Obedient-MoE-3x8B-Llama3-RAG.Q4_K_S.gguf) | Q4_K_S | 11.2 | fast, recommended |
 
 
 
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  | [GGUF](https://huggingface.co/mradermacher/Contextual-Obedient-MoE-3x8B-Llama3-RAG-GGUF/resolve/main/Contextual-Obedient-MoE-3x8B-Llama3-RAG.Q6_K.gguf) | Q6_K | 15.9 | very good quality |
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  | [GGUF](https://huggingface.co/mradermacher/Contextual-Obedient-MoE-3x8B-Llama3-RAG-GGUF/resolve/main/Contextual-Obedient-MoE-3x8B-Llama3-RAG.Q8_0.gguf) | Q8_0 | 20.6 | fast, best quality |
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  static quants of https://huggingface.co/TroyDoesAI/Contextual-Obedient-MoE-3x8B-Llama3-RAG
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  <!-- provided-files -->
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+ weighted/imatrix quants are available at https://huggingface.co/mradermacher/Contextual-Obedient-MoE-3x8B-Llama3-RAG-i1-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
 
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  | Link | Type | Size/GB | Notes |
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  |:-----|:-----|--------:|:------|
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  | [GGUF](https://huggingface.co/mradermacher/Contextual-Obedient-MoE-3x8B-Llama3-RAG-GGUF/resolve/main/Contextual-Obedient-MoE-3x8B-Llama3-RAG.Q2_K.gguf) | Q2_K | 7.4 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Contextual-Obedient-MoE-3x8B-Llama3-RAG-GGUF/resolve/main/Contextual-Obedient-MoE-3x8B-Llama3-RAG.IQ3_XS.gguf) | IQ3_XS | 8.2 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Contextual-Obedient-MoE-3x8B-Llama3-RAG-GGUF/resolve/main/Contextual-Obedient-MoE-3x8B-Llama3-RAG.Q3_K_S.gguf) | Q3_K_S | 8.6 | |
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  | [GGUF](https://huggingface.co/mradermacher/Contextual-Obedient-MoE-3x8B-Llama3-RAG-GGUF/resolve/main/Contextual-Obedient-MoE-3x8B-Llama3-RAG.IQ3_S.gguf) | IQ3_S | 8.6 | beats Q3_K* |
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  | [GGUF](https://huggingface.co/mradermacher/Contextual-Obedient-MoE-3x8B-Llama3-RAG-GGUF/resolve/main/Contextual-Obedient-MoE-3x8B-Llama3-RAG.IQ3_M.gguf) | IQ3_M | 8.8 | |
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  | [GGUF](https://huggingface.co/mradermacher/Contextual-Obedient-MoE-3x8B-Llama3-RAG-GGUF/resolve/main/Contextual-Obedient-MoE-3x8B-Llama3-RAG.Q3_K_M.gguf) | Q3_K_M | 9.5 | lower quality |
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+ | [GGUF](https://huggingface.co/mradermacher/Contextual-Obedient-MoE-3x8B-Llama3-RAG-GGUF/resolve/main/Contextual-Obedient-MoE-3x8B-Llama3-RAG.Q3_K_L.gguf) | Q3_K_L | 10.2 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Contextual-Obedient-MoE-3x8B-Llama3-RAG-GGUF/resolve/main/Contextual-Obedient-MoE-3x8B-Llama3-RAG.IQ4_XS.gguf) | IQ4_XS | 10.6 | |
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  | [GGUF](https://huggingface.co/mradermacher/Contextual-Obedient-MoE-3x8B-Llama3-RAG-GGUF/resolve/main/Contextual-Obedient-MoE-3x8B-Llama3-RAG.Q4_K_S.gguf) | Q4_K_S | 11.2 | fast, recommended |
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+ | [GGUF](https://huggingface.co/mradermacher/Contextual-Obedient-MoE-3x8B-Llama3-RAG-GGUF/resolve/main/Contextual-Obedient-MoE-3x8B-Llama3-RAG.Q4_K_M.gguf) | Q4_K_M | 11.8 | fast, recommended |
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+ | [GGUF](https://huggingface.co/mradermacher/Contextual-Obedient-MoE-3x8B-Llama3-RAG-GGUF/resolve/main/Contextual-Obedient-MoE-3x8B-Llama3-RAG.Q5_K_S.gguf) | Q5_K_S | 13.5 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Contextual-Obedient-MoE-3x8B-Llama3-RAG-GGUF/resolve/main/Contextual-Obedient-MoE-3x8B-Llama3-RAG.Q5_K_M.gguf) | Q5_K_M | 13.8 | |
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  | [GGUF](https://huggingface.co/mradermacher/Contextual-Obedient-MoE-3x8B-Llama3-RAG-GGUF/resolve/main/Contextual-Obedient-MoE-3x8B-Llama3-RAG.Q6_K.gguf) | Q6_K | 15.9 | very good quality |
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  | [GGUF](https://huggingface.co/mradermacher/Contextual-Obedient-MoE-3x8B-Llama3-RAG-GGUF/resolve/main/Contextual-Obedient-MoE-3x8B-Llama3-RAG.Q8_0.gguf) | Q8_0 | 20.6 | fast, best quality |
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