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  base_model: Daemontatox/Llama3.3-70B-CogniLink
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  datasets:
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  - Daemontatox/Deepthinking-COT
 
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  language:
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  - en
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  library_name: transformers
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  static quants of https://huggingface.co/Daemontatox/Llama3.3-70B-CogniLink
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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
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  | [GGUF](https://huggingface.co/mradermacher/Llama3.3-70B-CogniLink-GGUF/resolve/main/Llama3.3-70B-CogniLink.Q3_K_S.gguf) | Q3_K_S | 31.0 | |
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  | [GGUF](https://huggingface.co/mradermacher/Llama3.3-70B-CogniLink-GGUF/resolve/main/Llama3.3-70B-CogniLink.Q3_K_M.gguf) | Q3_K_M | 34.4 | lower quality |
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  | [GGUF](https://huggingface.co/mradermacher/Llama3.3-70B-CogniLink-GGUF/resolve/main/Llama3.3-70B-CogniLink.Q3_K_L.gguf) | Q3_K_L | 37.2 | |
 
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  | [GGUF](https://huggingface.co/mradermacher/Llama3.3-70B-CogniLink-GGUF/resolve/main/Llama3.3-70B-CogniLink.Q4_K_S.gguf) | Q4_K_S | 40.4 | fast, recommended |
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  | [GGUF](https://huggingface.co/mradermacher/Llama3.3-70B-CogniLink-GGUF/resolve/main/Llama3.3-70B-CogniLink.Q4_K_M.gguf) | Q4_K_M | 42.6 | fast, recommended |
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  | [GGUF](https://huggingface.co/mradermacher/Llama3.3-70B-CogniLink-GGUF/resolve/main/Llama3.3-70B-CogniLink.Q5_K_S.gguf) | Q5_K_S | 48.8 | |
 
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  base_model: Daemontatox/Llama3.3-70B-CogniLink
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  datasets:
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  - Daemontatox/Deepthinking-COT
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+ - gghfez/QwQ-LongCoT-130K-cleaned
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  language:
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  - en
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  library_name: transformers
 
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  static quants of https://huggingface.co/Daemontatox/Llama3.3-70B-CogniLink
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  <!-- provided-files -->
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+ weighted/imatrix quants are available at https://huggingface.co/mradermacher/Llama3.3-70B-CogniLink-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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  | [GGUF](https://huggingface.co/mradermacher/Llama3.3-70B-CogniLink-GGUF/resolve/main/Llama3.3-70B-CogniLink.Q3_K_S.gguf) | Q3_K_S | 31.0 | |
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  | [GGUF](https://huggingface.co/mradermacher/Llama3.3-70B-CogniLink-GGUF/resolve/main/Llama3.3-70B-CogniLink.Q3_K_M.gguf) | Q3_K_M | 34.4 | lower quality |
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  | [GGUF](https://huggingface.co/mradermacher/Llama3.3-70B-CogniLink-GGUF/resolve/main/Llama3.3-70B-CogniLink.Q3_K_L.gguf) | Q3_K_L | 37.2 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Llama3.3-70B-CogniLink-GGUF/resolve/main/Llama3.3-70B-CogniLink.IQ4_XS.gguf) | IQ4_XS | 38.4 | |
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  | [GGUF](https://huggingface.co/mradermacher/Llama3.3-70B-CogniLink-GGUF/resolve/main/Llama3.3-70B-CogniLink.Q4_K_S.gguf) | Q4_K_S | 40.4 | fast, recommended |
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  | [GGUF](https://huggingface.co/mradermacher/Llama3.3-70B-CogniLink-GGUF/resolve/main/Llama3.3-70B-CogniLink.Q4_K_M.gguf) | Q4_K_M | 42.6 | fast, recommended |
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  | [GGUF](https://huggingface.co/mradermacher/Llama3.3-70B-CogniLink-GGUF/resolve/main/Llama3.3-70B-CogniLink.Q5_K_S.gguf) | Q5_K_S | 48.8 | |