Update README.md
Browse files
README.md
CHANGED
|
@@ -25,28 +25,5 @@ In this profile we provide accurate model checkpoints compressed with SOTA metho
|
|
| 25 |
If you would like help quantizing a model or have a request for us to add a checkpoint, please open an issue in https://github.com/vllm-project/llm-compressor.
|
| 26 |
|
| 27 |
|
| 28 |
-
|
| 29 |
-
|
| 30 |
-
### Additional Red Hat AI Resources:
|
| 31 |
-
|
| 32 |
-
RHEL AI/Instructlab/Granite Blog
|
| 33 |
-
https://www.redhat.com/en/blog/what-rhel-ai-guide-open-source-way-doing-ai
|
| 34 |
-
|
| 35 |
-
InstructLab
|
| 36 |
-
https://github.com/instructlab
|
| 37 |
-
|
| 38 |
-
RHEL AI Preview
|
| 39 |
-
https://github.com/RedHatOfficial/rhelai-dev-preview
|
| 40 |
-
|
| 41 |
-
Red Hat OpenShift AI (ML/Ops Platform)
|
| 42 |
-
https://www.redhat.com/en/technologies/cloud-computing/openshift/openshift-ai
|
| 43 |
-
|
| 44 |
-
IBM Watsonx and OpenSource (integrated with OpenShift AI)
|
| 45 |
-
https://developer.ibm.com/articles/awb-the-open-source-ecosystem-of-watsonx/
|
| 46 |
-
|
| 47 |
-
Podman AI Lab for local desktop experimentation
|
| 48 |
-
https://github.com/containers/podman-desktop-extension-ai-lab
|
| 49 |
-
|
| 50 |
-
Red Hat Research paper: "Building Trust: Foundations of Security, Safety and Transparency in AI"
|
| 51 |
-
https://arxiv.org/abs/2411.12275
|
| 52 |
|
|
|
|
| 25 |
If you would like help quantizing a model or have a request for us to add a checkpoint, please open an issue in https://github.com/vllm-project/llm-compressor.
|
| 26 |
|
| 27 |
|
| 28 |
+
Learn more at https://www.redhat.com/en/products/ai
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 29 |
|