Update README.md

README.md

@@ -53,4 +53,41 @@ experts:
     - "solve"
     - "count"
 tokenizer_source: union
-```
+```
+
+## 💻 Usage
+```python
+!pip install -qU transformers bitsandbytes accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "mychen76/openmixtral-6x7b-v2"
+
+tokenizer = AutoTokenizer.from_pretrained(model)
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=model,
+    model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
+)
+
+messages = [{"role": "user", "content": "Why the sky is blue"}]
+prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+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"])
+```
+
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_mychen76__openmixtral-6x7b-v2)
+
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |72.33|
+|AI2 Reasoning Challenge (25-Shot)|68.52|
+|HellaSwag (10-Shot)              |86.75|
+|MMLU (5-Shot)                    |65.11|
+|TruthfulQA (0-shot)              |65.13|
+|Winogrande (5-shot)              |79.87|
+|GSM8k (5-shot)                   |68.61|