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README.md

@@ -1,39 +1,29 @@
 ---
-base_model:
-- Gille/StrangeMerges_32-7B-slerp
-- mayacinka/yam-jom-7B-slerp
-library_name: transformers
+license: apache-2.0
 tags:
-- mergekit
 - merge
-
+- mergekit
+- lazymergekit
+- automerger
+base_model:
+- Gille/StrangeMerges_32-7B-slerp
+- 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 SLERP merge method.
+# Strangemerges_32Yam-7B
 
-### Models Merged
-
-The following models were included in the merge:
+Strangemerges_32Yam-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
 * [Gille/StrangeMerges_32-7B-slerp](https://huggingface.co/Gille/StrangeMerges_32-7B-slerp)
-* [mayacinka/yam-jom-7B-slerp](https://huggingface.co/mayacinka/yam-jom-7B-slerp)
-
-### Configuration
+* [mayacinka/yam-jom-7B](https://huggingface.co/mayacinka/yam-jom-7B)
 
-The following YAML configuration was used to produce this model:
+## 🧩 Configuration
 
 ```yaml
-
 slices:
   - sources:
       - model: Gille/StrangeMerges_32-7B-slerp
         layer_range: [0, 32]
-      - model: mayacinka/yam-jom-7B-slerp
+      - model: mayacinka/yam-jom-7B
         layer_range: [0, 32]
 merge_method: slerp
 base_model: Gille/StrangeMerges_32-7B-slerp
@@ -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/Strangemerges_32Yam-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"])
+```

mergekit_config.yml

@@ -3,7 +3,7 @@ slices:
   - sources:
       - model: Gille/StrangeMerges_32-7B-slerp
         layer_range: [0, 32]
-      - model: mayacinka/yam-jom-7B-slerp
+      - model: mayacinka/yam-jom-7B
         layer_range: [0, 32]
 merge_method: slerp
 base_model: Gille/StrangeMerges_32-7B-slerp

model-00001-of-00002.safetensors

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model-00002-of-00002.safetensors

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