readme : refresh (#26280)

* docs : center badges and links, remove Hot topics

- Use <div align="center"> for GitHub-compatible centering
- Add dev branches and compile times links
- Remove Hot topics section

Assisted-by: llama.cpp:Qwen3.6-27B

* readme : remove sections

* docs : center badges, remove Hot topics, extract sections, remove tools

- Use <div align="center"> for GitHub-compatible centering
- Add dev branches and compile times links
- Add lib llama API and llama-server REST API links
- Remove Hot topics section
- Remove Recent API changes section
- Extract XCFramework section into docs/xcframework.md
- Extract Completions section into docs/completions.md
- Extract Obtaining and quantizing models into docs/models.md
- Remove tools usage sections (llama-cli, llama-server, etc.)
- Move Contributing section to the end

Assisted-by: llama.cpp:Qwen3.6-27B

* cont : arrange links

* cont : fix ws

* cont : remove seminal papers

* cont : change sample model

* cont : trim-down contributing section

* cont : sort backends alphabetically

* cont : words

* cont : add fig captions

* docs : models words

* readme : shorter caption

* cont : fix typo

* cont : add window frame to screenshot

docs/completions.md

@@ -0,0 +1,17 @@
+# Completions
+
+Command-line completion is available for some environments.
+
+## Bash Completion
+
+```bash
+$ build/bin/llama-cli --completion-bash > ~/.llama-completion.bash
+$ source ~/.llama-completion.bash
+```
+
+Optionally this can be added to your `.bashrc` or `.bash_profile` to load it
+automatically. For example:
+
+```console
+$ echo "source ~/.llama-completion.bash" >> ~/.bashrc
+```

docs/models.md

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+# Obtaining and quantizing models
+
+The [Hugging Face](https://huggingface.co) platform hosts [thousands of models](https://huggingface.co/models?library=gguf&sort=trending) compatible with `llama.cpp`:
+
+- [Trending](https://huggingface.co/models?library=gguf&sort=trending)
+
+You can use any `llama.cpp`-compatible model from [Hugging Face](https://huggingface.co/) using this CLI argument: `-hf <user>/<model>[:quant]`. For example:
+
+```sh
+llama cli -hf ggml-org/gemma-3-1b-it-GGUF
+```
+
+You can use the same CLI invocation to download from other sites, by pointing the `MODEL_ENDPOINT` environment variable to an endpoint compatible with the Hugging Face API.
+`llama.cpp` can also run models you have downloaded locally to your filesystem.
+
+After downloading a model, use the CLI tools to run it locally - see below.
+
+`llama.cpp` requires the model to be stored in the [GGUF](https://github.com/ggml-org/ggml/blob/master/docs/gguf.md) file format. Models in other data formats can be converted to GGUF using the `convert_*.py` Python scripts in this repo.
+To learn more about model quantization, [read this documentation](../tools/quantize/README.md)
+
+The Hugging Face platform provides a variety of online tools for converting, quantizing and hosting models with `llama.cpp`:
+
+- Use the [GGUF-my-repo space](https://huggingface.co/spaces/ggml-org/gguf-my-repo) to convert to GGUF format and quantize model weights to smaller sizes
+- Use the [GGUF-my-LoRA space](https://huggingface.co/spaces/ggml-org/gguf-my-lora) to convert LoRA adapters to GGUF format (more info: https://github.com/ggml-org/llama.cpp/discussions/10123)
+- Use the [GGUF-editor space](https://huggingface.co/spaces/CISCai/gguf-editor) to edit GGUF meta data in the browser (more info: https://github.com/ggml-org/llama.cpp/discussions/9268)
+- Use the [Inference Endpoints](https://ui.endpoints.huggingface.co/) to directly host `llama.cpp` in the cloud (more info: https://github.com/ggml-org/llama.cpp/discussions/9669)

docs/xcframework.md

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+# XCFramework
+
+The XCFramework is a precompiled version of the library for iOS, visionOS, tvOS,
+and macOS. It can be used in Swift projects without the need to compile the
+library from source. For example:
+
+```swift
+// swift-tools-version: 5.10
+// The swift-tools-version declares the minimum version of Swift required to build this package.
+
+import PackageDescription
+
+let package = Package(
+    name: "MyLlamaPackage",
+    targets: [
+        .executableTarget(
+            name: "MyLlamaPackage",
+            dependencies: [
+                "LlamaFramework"
+            ]),
+        .binaryTarget(
+            name: "LlamaFramework",
+            url: "https://github.com/ggml-org/llama.cpp/releases/download/b5046/llama-b5046-xcframework.zip",
+            checksum: "c19be78b5f00d8d29a25da41042cb7afa094cbf6280a225abe614b03b20029ab"
+        )
+    ]
+)
+```
+
+The above example is using an intermediate build `b5046` of the library. This can be modified
+to use a different version by changing the URL and checksum.