Update README.md

README.md

@@ -1,9 +1,7 @@
 ---
 base_model:
 - bluuwhale/L3-SthenoMaidBlackroot-8B-V1
-- bluuwhale/L3-SthenoMaidBlackroot-8B-V1
-- bluuwhale/L3-SthenoMaidBlackroot-8B-V1
-- bluuwhale/L3-SthenoMaidBlackroot-8B-V1
+
 tags:
 - merge
 - mergekit
@@ -15,9 +13,7 @@ tags:
 
 L3-SthenoMaidBlackroot-15B-V1 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
 * [bluuwhale/L3-SthenoMaidBlackroot-8B-V1](https://huggingface.co/bluuwhale/L3-SthenoMaidBlackroot-8B-V1)
-* [bluuwhale/L3-SthenoMaidBlackroot-8B-V1](https://huggingface.co/bluuwhale/L3-SthenoMaidBlackroot-8B-V1)
-* [bluuwhale/L3-SthenoMaidBlackroot-8B-V1](https://huggingface.co/bluuwhale/L3-SthenoMaidBlackroot-8B-V1)
-* [bluuwhale/L3-SthenoMaidBlackroot-8B-V1](https://huggingface.co/bluuwhale/L3-SthenoMaidBlackroot-8B-V1)
+
 
 ## 🧩 Configuration
 
@@ -53,27 +49,3 @@ slices:
     model: bluuwhale/L3-SthenoMaidBlackroot-8B-V1
 ```
 
-## 💻 Usage
-
-```python
-!pip install -qU transformers accelerate
-
-from transformers import AutoTokenizer
-import transformers
-import torch
-
-model = "Frowning/L3-SthenoMaidBlackroot-15B-V1"
-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"])
-```