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docs : Quantum -> Quantized (#8666)
* docfix: imatrix readme, quantum models -> quantized models. * docfix: server readme: quantum models -> quantized models.
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# llama.cpp/examples/imatrix
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# llama.cpp/examples/imatrix
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Compute an importance matrix for a model and given text dataset. Can be used during quantization to enchance the quality of the quantum models.
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Compute an importance matrix for a model and given text dataset. Can be used during quantization to enchance the quality of the quantized models.
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More information is available here: https://github.com/ggerganov/llama.cpp/pull/4861
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More information is available here: https://github.com/ggerganov/llama.cpp/pull/4861
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## Usage
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## Usage
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@ -5,7 +5,7 @@ Fast, lightweight, pure C/C++ HTTP server based on [httplib](https://github.com/
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Set of LLM REST APIs and a simple web front end to interact with llama.cpp.
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Set of LLM REST APIs and a simple web front end to interact with llama.cpp.
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**Features:**
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**Features:**
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* LLM inference of F16 and quantum models on GPU and CPU
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* LLM inference of F16 and quantized models on GPU and CPU
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* [OpenAI API](https://github.com/openai/openai-openapi) compatible chat completions and embeddings routes
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* [OpenAI API](https://github.com/openai/openai-openapi) compatible chat completions and embeddings routes
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* Parallel decoding with multi-user support
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* Parallel decoding with multi-user support
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* Continuous batching
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* Continuous batching
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