implement LoRA / QLoRA (#46)

* implement LoRA / QLoRA

- example of using MLX to fine-tune an LLM with low rank adaptation (LoRA) for a target task
- see also https://arxiv.org/abs/2106.09685
- based on https://github.com/ml-explore/mlx-examples/tree/main/lora

* add some command line flags I found useful during use
- --quiet -- don't print decorator text, just the generated text
- --prompt @/tmp/file.txt -- load prompt from file

* user can specify path to model OR model identifier in huggingface

* update mlx-swift reference

Co-authored-by: Ashraful Islam <ashraful.meche@gmail.com>
Co-authored-by: JustinMeans <46542161+JustinMeans@users.noreply.github.com>

Applications/LLMEval/ContentView.swift

@@ -187,7 +187,7 @@ class LLMEvaluator {
                 [modelConfiguration] progress in
                 DispatchQueue.main.sync {
                     self.modelInfo =
-                        "Downloading \(modelConfiguration.id): \(Int(progress.fractionCompleted * 100))%"
+                        "Downloading \(modelConfiguration.name): \(Int(progress.fractionCompleted * 100))%"
                 }
             }
             self.modelInfo =