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README.md

@@ -1,34 +1,24 @@
 ---
+license: apache-2.0
+tags:
+- merge
+- mergekit
+- lazymergekit
+- automerger
 base_model:
 - nlpguy/AlloyIngotNeoY
 - yam-peleg/Experiment24-7B
-library_name: transformers
-tags:
-- mergekit
-- merge
-
 ---
-# merge
-
-This 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.
+# AlloyingotneoyExperiment24-7B
 
-### Models Merged
-
-The following models were included in the merge:
+AlloyingotneoyExperiment24-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
 * [nlpguy/AlloyIngotNeoY](https://huggingface.co/nlpguy/AlloyIngotNeoY)
 * [yam-peleg/Experiment24-7B](https://huggingface.co/yam-peleg/Experiment24-7B)
 
-### Configuration
-
-The following YAML configuration was used to produce this model:
+## 🧩 Configuration
 
 ```yaml
-
 slices:
   - sources:
       - model: nlpguy/AlloyIngotNeoY
@@ -46,5 +36,29 @@ parameters:
     - value: 0.5
 dtype: bfloat16
 random_seed: 0
-    
-```
+    ```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "automerger/AlloyingotneoyExperiment24-7B"
+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"])
+```