mlx-lm move notice (#1346)

* mlx-lm move notice

* remove mlx lm tests

.circleci/config.yml

@@ -17,30 +17,6 @@ jobs:
             pre-commit run --all
             if ! git diff --quiet; then echo 'Style checks failed, please install pre-commit and run pre-commit run --all and push the change'; exit 1; fi
 
-  mlx_lm_build_and_test:
-    macos:
-      xcode: "15.2.0"
-    resource_class: macos.m1.large.gen1
-    steps:
-      - checkout
-      - run:
-          name: Install dependencies
-          command: |
-            brew install python@3.9
-            python3.9 -m venv env
-            source env/bin/activate
-            pip install --upgrade pip
-            pip install unittest-xml-reporting
-            cd llms/
-            pip install -e ".[test]"
-      - run:
-          name: Run Python tests
-          command: |
-            source env/bin/activate
-            python -m xmlrunner discover -v llms/tests -o test-results/
-      - store_test_results:
-          path: test-results
-
 workflows:
   build_and_test:
     when:
@@ -48,7 +24,6 @@ workflows:
         pattern: "^(?!pull/)[-\\w]+$"
         value: << pipeline.git.branch >>
     jobs:
-      - mlx_lm_build_and_test
       - linux_build_and_test
 
   prb:

README.md

@@ -4,12 +4,12 @@ This repo contains a variety of standalone examples using the [MLX
 framework](https://github.com/ml-explore/mlx).
 
 The [MNIST](mnist) example is a good starting point to learn how to use MLX.
-
-Some more useful examples are listed below.
+Some more useful examples are listed below. Check-out [MLX
+LM](https://github.com/ml-explore/mlx-lm) for a more fully featured Python
+package for LLMs with MLX.
 
 ### Text Models 
 
-- [MLX LM](llms/README.md) a package for LLM text generation, fine-tuning, and more.
 - [Transformer language model](transformer_lm) training.
 - Minimal examples of large scale text generation with [LLaMA](llms/llama),
   [Mistral](llms/mistral), and more in the [LLMs](llms) directory.
@@ -30,6 +30,7 @@ Some more useful examples are listed below.
 
 - Speech recognition with [OpenAI's Whisper](whisper).
 - Audio compression and generation with [Meta's EnCodec](encodec).
+- Music generation with [Meta's MusicGen](musicgen).
 
 ### Multimodal models
 

llms/README.md

@@ -1,3 +1,9 @@
+# DEPRECATED
+
+The mlx-lm package has moved to a [new repo](https://github.com/ml-explore/mlx-lm).
+
+The package here will be removed soon. Send new contributions and issues to the MLX LM repo.
+
 ## Generate Text with LLMs and MLX
 
 The easiest way to get started is to install the `mlx-lm` package:

llms/mlx_lm/README.md

@@ -1,3 +1,9 @@
+# DEPRECATED
+
+The mlx-lm package has moved to a [new repo](https://github.com/ml-explore/mlx-lm).
+
+The package here will be removed soon. Send new contributions and issues to the MLX LM repo.
+
 ## Generate Text with MLX and :hugs: Hugging Face
 
 This an example of large language model text generation that can pull models from