Update README.md

README.md

@@ -20,11 +20,48 @@ Foxglove_7B is a merge of the following models using [LazyMergekit](https://cola
 * [ResplendentAI/Datura_7B](https://huggingface.co/ResplendentAI/Datura_7B)
 * [Epiculous/Mika-7B](https://huggingface.co/Epiculous/Mika-7B)
 
-## Configuration
-
-- **Slices:**
-  - **Sources:**
-    - Model: ResplendentAI/Datura_7B
-    - Model: Epiculous/Mika-7B
-- **Merge Method:** SLERP
-- **Base Model:** ResplendentAI/Datura_7B
+## 🧩 Configuration
+
+```yaml
+slices:
+  - sources:
+      - model: ResplendentAI/Datura_7B
+        layer_range: [0, 32]
+      - model: Epiculous/Mika-7B
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: ResplendentAI/Datura_7B
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.7, 0.4, 0.6, 1]  
+    - filter: mlp
+      value: [0.8, 0.5, 0.7, 0.3, 0]  
+    - value: 0.6  
+dtype: bfloat16
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "aridoverrun/Foxglove_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"])
+```