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            ---
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            base_model: huihui-ai/Huihui-EXAONE-Deep-7.8B-abliterated
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            base_model_relation: finetune
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            license: other
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            license_name: exaone
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            license_link: LICENSE
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            language:
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            - en
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            - ko
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            tags:
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            - chat
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            - abliterated
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            - uncensored
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            - lg-ai
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            - exaone
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            - exaone-deep
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            - llama-cpp
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            - gguf-my-repo
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            pipeline_tag: text-generation
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            library_name: transformers
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            ---
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            # Triangle104/Huihui-EXAONE-Deep-7.8B-abliterated-Q5_K_M-GGUF
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            This model was converted to GGUF format from [`huihui-ai/Huihui-EXAONE-Deep-7.8B-abliterated`](https://huggingface.co/huihui-ai/Huihui-EXAONE-Deep-7.8B-abliterated) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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            Refer to the [original model card](https://huggingface.co/huihui-ai/Huihui-EXAONE-Deep-7.8B-abliterated) for more details on the model.
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            ## Use with llama.cpp
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            Install llama.cpp through brew (works on Mac and Linux)
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            ```bash
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            brew install llama.cpp
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            ```
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            Invoke the llama.cpp server or the CLI.
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            ### CLI:
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            ```bash
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            llama-cli --hf-repo Triangle104/Huihui-EXAONE-Deep-7.8B-abliterated-Q5_K_M-GGUF --hf-file huihui-exaone-deep-7.8b-abliterated-q5_k_m.gguf -p "The meaning to life and the universe is"
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            ```
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            ### Server:
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            ```bash
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            llama-server --hf-repo Triangle104/Huihui-EXAONE-Deep-7.8B-abliterated-Q5_K_M-GGUF --hf-file huihui-exaone-deep-7.8b-abliterated-q5_k_m.gguf -c 2048
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            ```
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            Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
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            Step 1: Clone llama.cpp from GitHub.
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            ```
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            git clone https://github.com/ggerganov/llama.cpp
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            ```
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            Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
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            ```
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            cd llama.cpp && LLAMA_CURL=1 make
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            ```
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            Step 3: Run inference through the main binary.
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            ```
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            ./llama-cli --hf-repo Triangle104/Huihui-EXAONE-Deep-7.8B-abliterated-Q5_K_M-GGUF --hf-file huihui-exaone-deep-7.8b-abliterated-q5_k_m.gguf -p "The meaning to life and the universe is"
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            ```
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            or 
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            ```
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            ./llama-server --hf-repo Triangle104/Huihui-EXAONE-Deep-7.8B-abliterated-Q5_K_M-GGUF --hf-file huihui-exaone-deep-7.8b-abliterated-q5_k_m.gguf -c 2048
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            ```
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