Update README.md

README.md

@@ -1,3 +1,48 @@
----
-license: apache-2.0
----
+---
+license: mit
+base_model:
+- arcee-ai/Homunculus
+pipeline_tag: text-generation
+tags:
+- OpenVINO
+- Optimum-Intel
+- OpenArc
+---
+
+My Project [OpenArc](https://github.com/SearchSavior/OpenArc), an inference engine for OpenVINO, now supports this model and serves inference over OpenAI compatible endpoints for text to text *and* text with vision!
+
+We have a growing Discord community of others interested in using Intel for AI/ML. 
+
+[![Discord](https://img.shields.io/discord/1341627368581628004?logo=Discord&logoColor=%23ffffff&label=Discord&link=https%3A%2F%2Fdiscord.gg%2FmaMY7QjG)](https://discord.gg/maMY7QjG)
+
+- Find documentation on the Optimum-CLI export process [here](https://huggingface.co/docs/optimum/main/en/intel/openvino/export)
+- Use my HF space [Echo9Zulu/Optimum-CLI-Tool_tool](https://huggingface.co/spaces/Echo9Zulu/Optimum-CLI-Tool_tool) to build commands and execute locally
+
+---
+
+## This repo contains OpenVINO quantizied versions of arcee-ai/Homunculus.
+
+I reccomend starting with **Homunculus-int4_asym-awq-se-ov**
+
+To download individual models from this repo use the provided snippet:
+
+```
+from huggingface_hub import snapshot_download
+
+repo_id = "Echo9Zulu/Homunculus-OpenVINO"     
+
+# Choose the weights you want
+repo_directory = "Homunculus-int4_asym-awq-se-ov"
+
+# Where you want to save it
+local_dir = "./Echo9Zulu_Homunculus/Homunculus-int4_asym-awq-se-ov"
+
+snapshot_download(
+    repo_id=repo_id,
+    allow_patterns=[f"{repo_directory}/*"], 
+    local_dir=local_dir,
+    local_dir_use_symlinks=True
+) 
+
+print("Download complete!")
+```