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README.md

@@ -1,33 +1,22 @@
 ---
-base_model:
-- CorticalStack/shadow-clown-7B-dare
-- mayacinka/yam-jom-7B
-library_name: transformers
+license: apache-2.0
 tags:
-- mergekit
 - merge
-license: apache-2.0
+- mergekit
+- lazymergekit
+- automerger
+base_model:
+- mayacinka/yam-jom-7B
 ---
-# 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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [CorticalStack/shadow-clown-7B-dare](https://huggingface.co/CorticalStack/shadow-clown-7B-dare) as a base.
+# ShadowYam-7B
 
-### Models Merged
-
-The following models were included in the merge:
+ShadowYam-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
 * [mayacinka/yam-jom-7B](https://huggingface.co/mayacinka/yam-jom-7B)
 
-### Configuration
-
-The following YAML configuration was used to produce this model:
+## 🧩 Configuration
 
 ```yaml
-
 models:
 - model: CorticalStack/shadow-clown-7B-dare
   # No parameters necessary for base model
@@ -41,5 +30,29 @@ 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/ShadowYam-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"])
 ```

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