Upload README.md with huggingface_hub

README.md

@@ -1,11 +1,11 @@
 ---
-base_model: arcee-ai/Llama-3.1-SuperNova-Lite
-datasets:
-- arcee-ai/EvolKit-20k
 language:
 - en
-library_name: transformers
 license: llama3
+library_name: transformers
+base_model: arcee-ai/Llama-3.1-SuperNova-Lite
+datasets:
+- arcee-ai/EvolKit-20k
 tags:
 - llama-cpp
 - gguf-my-repo
@@ -110,17 +110,6 @@ model-index:
 This model was converted to GGUF format from [`arcee-ai/Llama-3.1-SuperNova-Lite`](https://huggingface.co/arcee-ai/Llama-3.1-SuperNova-Lite) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
 Refer to the [original model card](https://huggingface.co/arcee-ai/Llama-3.1-SuperNova-Lite) for more details on the model.
 
----
-Model details:
--
-Llama-3.1-SuperNova-Lite is an 8B parameter model developed by Arcee.ai, based on the Llama-3.1-8B-Instruct architecture. It is a distilled version of the larger Llama-3.1-405B-Instruct model, leveraging offline logits extracted from the 405B parameter variant. This 8B variation of Llama-3.1-SuperNova maintains high performance while offering exceptional instruction-following capabilities and domain-specific adaptability.
-
-The model was trained using a state-of-the-art distillation pipeline and an instruction dataset generated with EvolKit, ensuring accuracy and efficiency across a wide range of tasks. For more information on its training, visit blog.arcee.ai.
-
-Llama-3.1-SuperNova-Lite excels in both benchmark performance and real-world applications, providing the power of large-scale models in a more compact, efficient form ideal for organizations seeking high performance with reduced resource requirements.
-Open LLM Leaderboard Evaluation Results
-
----
 ## Use with llama.cpp
 Install llama.cpp through brew (works on Mac and Linux)