Update README.md (#1)

- Update README.md (a670fa8ddd399c15bc4761bf542c905c422c553f)


Co-authored-by: Maxime Labonne <mlabonne@users.noreply.huggingface.co>

README.md

@@ -1,60 +1,57 @@
 ---
-{}
+license: apache-2.0
+base_model:
+  - yam-peleg/Experiment29-7B
+tags:
+- merge
+- mergekit
+- lazymergekit
 ---
----
-    license: apache-2.0
-    base_model:
-      - yam-peleg/Experiment29-7B
-    tags:
-    - merge
-    - mergekit
-    - lazymergekit
-    ---
-
-    # Experiment28Experiment29-7B
-
-    Experiment28Experiment29-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following models:
-    * [yam-peleg/Experiment29-7B](https://huggingface.co/yam-peleg/Experiment29-7B)
-
-    ## 🧩 Configuration
-
-    ```yaml
-      models:
-        - model: yam-peleg/Experiment28-7B
-          # No parameters necessary for base model
-        - model: yam-peleg/Experiment29-7B
-          parameters:
-            density: 0.53
-            weight: 0.6
-      merge_method: dare_ties
-      base_model: yam-peleg/Experiment28-7B
+
+# Experiment28Experiment29-7B
+
+Experiment28Experiment29-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following models:
+* [yam-peleg/Experiment29-7B](https://huggingface.co/yam-peleg/Experiment29-7B)
+
+## 🧩 Configuration
+
+```yaml
+  models:
+    - model: yam-peleg/Experiment28-7B
+      # No parameters necessary for base model
+    - model: yam-peleg/Experiment29-7B
       parameters:
-        int8_mask: true
-      dtype: bfloat16
-      random_seed: 0
-    ```
-
-    ## 💻 Usage
-
-    ```python
-    !pip install -qU transformers accelerate
-
-    from transformers import AutoTokenizer
-    import transformers
-    import torch
-
-    model = "automerger/Experiment28Experiment29-7B"
-    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"])
-    ```
+        density: 0.53
+        weight: 0.6
+  merge_method: dare_ties
+  base_model: yam-peleg/Experiment28-7B
+  parameters:
+    int8_mask: true
+  dtype: bfloat16
+  random_seed: 0
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "automerger/Experiment28Experiment29-7B"
+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"])
+```