Update README.md

README.md

@@ -5,24 +5,24 @@ base_model:
 tags:
 - mergekit
 - merge
-
+license: apache-2.0
 ---
-# merge
+# BioMistral-Zephyr-Beta-SLERP
 
-This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+BioMistral-Zephyr-Beta-SLERP is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
 
 ## Merge Details
 ### Merge Method
 
 This model was merged using the SLERP merge method.
 
-### Models Merged
+### 🤖💬 Models Merged
 
 The following models were included in the merge:
 * [BioMistral/BioMistral-7B](https://huggingface.co/BioMistral/BioMistral-7B)
 * [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta)
 
-### Configuration
+### 🧩 Configuration
 
 The following YAML configuration was used to produce this model:
 
@@ -46,3 +46,28 @@ parameters:
 dtype: bfloat16
 
 ```
+
+### 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "Kabster/BioMistral-Zephyr-Beta-SLERP"
+messages = [{"role": "user", "content": "Can bisoprolol cause insomnia?"}]
+
+tokenizer = AutoTokenizer.from_pretrained(model)
+prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=model,
+    torch_dtype=torch.float16,
+    device_map="auto",
+)
+
+outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.2, top_k=100, top_p=0.95)
+print(outputs[0]["generated_text"])
+```