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@@ -17,46 +17,6 @@ extra_gated_button_content: Acknowledge license
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  base_model: google/functiongemma-270m-it
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  ---
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- # ggerganov/functiongemma-270m-it-Q8_0-GGUF
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- This model was converted to GGUF format from [`google/functiongemma-270m-it`](https://huggingface.co/google/functiongemma-270m-it) 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/google/functiongemma-270m-it) for more details on the model.
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-
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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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-
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- ```bash
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- brew install llama.cpp
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-
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- ```
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- Invoke the llama.cpp server or the CLI.
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-
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- ### CLI:
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- ```bash
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- llama-cli --hf-repo ggerganov/functiongemma-270m-it-Q8_0-GGUF --hf-file functiongemma-270m-it-q8_0.gguf -p "The meaning to life and the universe is"
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- ```
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-
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- ### Server:
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- ```bash
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- llama-server --hf-repo ggerganov/functiongemma-270m-it-Q8_0-GGUF --hf-file functiongemma-270m-it-q8_0.gguf -c 2048
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- ```
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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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-
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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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-
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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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-
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- Step 3: Run inference through the main binary.
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- ```
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- ./llama-cli --hf-repo ggerganov/functiongemma-270m-it-Q8_0-GGUF --hf-file functiongemma-270m-it-q8_0.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 ggerganov/functiongemma-270m-it-Q8_0-GGUF --hf-file functiongemma-270m-it-q8_0.gguf -c 2048
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- ```
 
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  base_model: google/functiongemma-270m-it
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  ---
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+ # ggml-org/functiongemma-270m-it-GGUF
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+ This model was converted to GGUF format from [`google/functiongemma-270m-it`](https://huggingface.co/google/functiongemma-270m-it) using llama.cpp.
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  Refer to the [original model card](https://huggingface.co/google/functiongemma-270m-it) for more details on the model.