Update README.md

README.md

@@ -4,21 +4,54 @@ language:
 - en
 library_name: transformers
 pipeline_tag: text-generation
----
-9o
----
-license: 
-base_model:
 tags:
 - merge
 - mergekit
-- lazymergekit
+- ConvexAI/Luminex-34B-v0.2
+- fblgit/UNA-34BeagleSimpleMath-32K-v1
+- chemistry
+- biology
+- math
+base_model:
+- ConvexAI/Luminex-34B-v0.2
+- fblgit/UNA-34BeagleSimpleMath-32K-v1
+model-index:
+- name: Maxine-34B-stock
+  results:
+  - task:
+      type: text-generation
+    metrics:
+    - name: Average
+      type: Average
+      value: 77.28
+    - name: ARC
+      type: ARC
+      value: 74.06
+    - name: GSM8K
+      type: GSM8K
+      value: 72.18
+    - name: Winogrande
+      type: Winogrande
+      value: 83.9
+    - name: TruthfulQA
+      type: TruthfulQA
+      value: 70.18
+    - name: HellaSwag
+      type: HellaSwag
+      value: 86.74
+    source:
+      name: Open LLM Leaderboard
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
 ---
 
+<center><img src='https://i.imgur.com/dU9dUh0.png' width='500px'></center>
+
 # Maxine-34B-stock
 
 Maxine-34B-stock is a merge of the following models:
 
+**04-07-2024 - To date, louisbrulenaudet/Maxine-34B-stock is the "Best 🤝 base merges and moerges model of around 30B" on the Open LLM Leaderboard.**
+
 ## Configuration
 
 ```yaml
@@ -53,4 +86,21 @@ pipeline = transformers.pipeline(
 
 outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
 print(outputs[0]["generated_text"])
-```
+```
+
+## Citing & Authors
+
+If you use this code in your research, please use the following BibTeX entry.
+
+```BibTeX
+@misc{louisbrulenaudet2024,
+  author =       {Louis Brulé Naudet},
+  title =        {Maxine-34B-stock, an xtraordinary 34B model},
+  year =         {2024}
+  howpublished = {\url{https://huggingface.co/louisbrulenaudet/Maxine-34B-stock}},
+}
+```
+
+## Feedback
+
+If you have any feedback, please reach out at [[email protected]](mailto:[email protected]).