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README.md

@@ -1,16 +1,18 @@
 ---
-license: apache-2.0
 tags:
 - merge
 - mergekit
 - lazymergekit
 - meta-llama/Llama-2-7b-hf
 - databricks/dolly-v2-7b
+base_model:
+- meta-llama/Llama-2-7b-hf
+- databricks/dolly-v2-7b
 ---
 
 # LLAMAdolly-7B-slerp
 
-LLAMAdolly-7B-slerp is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
+LLAMAdolly-7B-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
 * [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf)
 * [databricks/dolly-v2-7b](https://huggingface.co/databricks/dolly-v2-7b)
 
@@ -34,4 +36,29 @@ parameters:
     - value: 0.5
 dtype: bfloat16
 
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "ema19/LLAMAdolly-7B-slerp"
+messages = [{"role": "user", "content": "What is a large language model?"}]
+
+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=0.7, top_k=50, top_p=0.95)
+print(outputs[0]["generated_text"])
 ```