From 69fc9680adfffbb92f36b33ba620101e63c1655a Mon Sep 17 00:00:00 2001
From: rhulguin <44377818+rhulguin@users.noreply.github.com>
Date: Tue, 29 Oct 2024 18:33:36 +0000
Subject: [PATCH] Add files for chroma, llamaindex, and torchtune

---
 content/opensource_packages/chroma.md     | 28 +++++++++++++++++++++
 content/opensource_packages/llamaindex.md | 29 ++++++++++++++++++++++
 content/opensource_packages/torchtune.md  | 30 +++++++++++++++++++++++
 3 files changed, 87 insertions(+)
 create mode 100644 content/opensource_packages/chroma.md
 create mode 100644 content/opensource_packages/llamaindex.md
 create mode 100644 content/opensource_packages/torchtune.md

diff --git a/content/opensource_packages/chroma.md b/content/opensource_packages/chroma.md
new file mode 100644
index 00000000..8989dc9b
--- /dev/null
+++ b/content/opensource_packages/chroma.md
@@ -0,0 +1,28 @@
+---
+name: Chroma 
+category: Database 
+description: Chroma is the AI-native open-source vector database. Chroma makes it easy to build LLM apps by making knowledge, facts, and skills pluggable for LLMs. 
+download_url: https://github.com/chroma-core/chroma/releases 
+works_on_arm: true
+supported_minimum_version:
+    version_number: 0.3.27
+    release_date: 2023/07/10
+
+
+optional_info:
+    homepage_url: https://www.trychroma.com/
+    support_caveats:
+    alternative_options:
+    getting_started_resources:
+        arm_content:
+        partner_content:
+        official_docs: https://docs.trychroma.com/
+    arm_recommended_minimum_version:
+        version_number: 
+        release_date:
+
+optional_hidden_info:
+    release_notes__supported_minimum:
+    release_notes__recommended_minimum:
+    other_info:
+---
diff --git a/content/opensource_packages/llamaindex.md b/content/opensource_packages/llamaindex.md
new file mode 100644
index 00000000..1889d562
--- /dev/null
+++ b/content/opensource_packages/llamaindex.md
@@ -0,0 +1,29 @@
+---
+name: LlamaIndex Core
+category: ML/AI
+description: The core python package to the LlamaIndex library, which is a simple, flexible data framework for connecting custom data sources to large language models.
+download_url: https://pypi.org/project/llama-index-core/#history
+works_on_arm: true
+supported_minimum_version:
+    version_number: 0.10.30
+    release_date: 2024/04/17
+
+
+optional_info:
+    homepage_url: https://www.llamaindex.ai/open-source
+    support_caveats:
+    alternative_options:
+    getting_started_resources:
+        arm_content:
+        partner_content:
+        official_docs: https://docs.llamaindex.ai/en/stable/
+    arm_recommended_minimum_version:
+        version_number:
+        release_date:
+
+optional_hidden_info:
+    release_notes__supported_minimum:
+    release_notes__recommended_minimum:
+    other_info: There are no Linux/ARM64 release notes. LlamaIndex Core can be installed via pip. All pypi releases have none-any wheels for LlamaIndex Core.
+
+---
diff --git a/content/opensource_packages/torchtune.md b/content/opensource_packages/torchtune.md
new file mode 100644
index 00000000..1f9d5c41
--- /dev/null
+++ b/content/opensource_packages/torchtune.md
@@ -0,0 +1,30 @@
+---
+name: torchtune
+category: AI/ML 
+description: torchtune is a Native-PyTorch library for LLM fine-tuning.
+download_url: https://pypi.org/project/torchtune/#history
+works_on_arm: true
+supported_minimum_version: 
+    version_number: 0.3.0
+    release_date: 2024/09/18
+
+
+optional_info:
+    homepage_url: https://pytorch.org/torchtune/stable/overview.html
+    support_caveats: torchao must be built from source. Instructions can be found using Arm's learning path - https://learn.arm.com/learning-paths/servers-and-cloud-computing/pytorch-llama/pytorch-llama#install-pytorch-and-optimized-libraries
+    alternative_options: 
+    getting_started_resources:
+        arm_content: 
+        partner_content: 
+        official_docs: https://pytorch.org/torchtune/stable/index.html
+    arm_recommended_minimum_version:
+        version_number:
+        release_date:
+
+
+optional_hidden_info:
+    release_notes__supported_minimum: 
+    release_notes__recommended_minimum: 
+    other_info: There are no Linux/ARM64 release notes. torchtune can be installed via pip. All pypi releases have none-any wheels for torchtune.
+
+---