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README.md
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---
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tags:
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- pruna-ai
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- llama-cpp
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- gguf-my-repo
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base_model: microsoft/Phi-3-mini-128k-instruct
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metrics:
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- memory_disk
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- memory_inference
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- inference_latency
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- inference_throughput
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- inference_CO2_emissions
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- inference_energy_consumption
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thumbnail: https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg
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---
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# suraiy/microsoft-Phi-3-mini-128k-instruct-HQQ-4bit-smashed-Q4_K_M-GGUF
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This model was converted to GGUF format from [`PrunaAI/microsoft-Phi-3-mini-128k-instruct-HQQ-4bit-smashed`](https://huggingface.co/PrunaAI/microsoft-Phi-3-mini-128k-instruct-HQQ-4bit-smashed) 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/PrunaAI/microsoft-Phi-3-mini-128k-instruct-HQQ-4bit-smashed) for more details on the model.
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## Use with llama.cpp
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Install llama.cpp through brew.
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```bash
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brew install ggerganov/ggerganov/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 suraiy/microsoft-Phi-3-mini-128k-instruct-HQQ-4bit-smashed-Q4_K_M-GGUF --model microsoft-phi-3-mini-128k-instruct-hqq-4bit-smashed-q4_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 suraiy/microsoft-Phi-3-mini-128k-instruct-HQQ-4bit-smashed-Q4_K_M-GGUF --model microsoft-phi-3-mini-128k-instruct-hqq-4bit-smashed-q4_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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```
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git clone https://github.com/ggerganov/llama.cpp && \
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cd llama.cpp && \
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make && \
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./main -m microsoft-phi-3-mini-128k-instruct-hqq-4bit-smashed-q4_k_m.gguf -n 128
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```
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