release: version 0.2.1

Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "mlx-training-rs"
-version = "0.2.0"
+version = "0.2.1"
 edition = "2021"
 repository = "https://github.com/chenhunghan/mlx-training-rs"
 
@@ -36,7 +36,7 @@ installers = ["shell", "homebrew"]
 # A GitHub repo to push Homebrew formulas to
 tap = "chenhunghan/homebrew-formulae"
 # Target platforms to build apps for (Rust target-triple syntax)
-targets = ["x86_64-unknown-linux-gnu", "aarch64-apple-darwin", "x86_64-apple-darwin", "x86_64-pc-windows-msvc"]
+targets = ["aarch64-apple-darwin", "x86_64-apple-darwin"]
 # Publish jobs to run in CI
 publish-jobs = ["homebrew"]
 # Publish jobs to run in CI

README.md

@@ -1,6 +1,34 @@
 # mlx-training-rs
 
-Rusty scripts to generate __synthetic__ data for MLX traning.
+A CLI to generate __synthetic__ data for MLX traning. The CLI is largely translated from the php version [here](https://apeatling.com/articles/simple-guide-to-local-llm-fine-tuning-on-a-mac-with-mlx/?utm_source=pocket_reader).
+
+## Fine-Tuning LLM for Dummy on Apple Silicon
+
+Based on [this](https://apeatling.com/articles/simple-guide-to-local-llm-fine-tuning-on-a-mac-with-mlx/?utm_source=pocket_reader), [this](https://www.reddit.com/r/LocalLLaMA/comments/191s7x3/a_simple_guide_to_local_llm_finetuning_on_a_mac/?share_id=hH4Vu8gxZgwYRvl_fIyOu&utm_content=1&utm_medium=ios_app&utm_name=ioscss&utm_source=share&utm_term=1), [this](https://www.reddit.com/r/LocalLLaMA/comments/18ujt0n/using_gpus_on_a_mac_m2_max_via_mlx_update_on/) and [this](https://www.reddit.com/r/LocalLLaMA/comments/18wabkc/lessons_learned_so_far_lora_fine_tuning_on/).
+
+### Install HomeBrew
+
+```shell
+/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
+```
+
+### Setting up Python3
+
+```shell
+brew install python@3.11
+```
+
+### Download MLX and the Model to Fine-tuning
+
+Clone MLX
+```sh
+git clone https://github.com/ml-explore/mlx-examples.git
+```
+
+
+```sh
+python convert.py --hf-path mistralai/Mistral-7B-Instruct-v0.2 -q --mlx-path ./Mistral-7B-Instruct-v0.2-mlx-4bit

+```
 
 ## Get started