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
Compute an importance matrix for a model and given text dataset. Can be used during quantization to enchance the quality of the quantum models.
Compute an importance matrix for a model and given text dataset. Can be used during quantization to enchance the quality of the quantized models.
More information is available here: https://github.com/ggerganov/llama.cpp/pull/4861
## Usage

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Set of LLM REST APIs and a simple web front end to interact with llama.cpp.
**Features:**
* LLM inference of F16 and quantum models on GPU and CPU
* LLM inference of F16 and quantized models on GPU and CPU
* [OpenAI API](https://github.com/openai/openai-openapi) compatible chat completions and embeddings routes
* Parallel decoding with multi-user support
* Continuous batching