Upload README.md

README.md

@@ -1,3 +1,76 @@
 ---
 license: mit
+tags:
+- merge
+- mergekit
+- lazymergekit
+- rhysjones/phi-2-orange
+- cognitivecomputations/dolphin-2_6-phi-2
+base_model:
+- rhysjones/phi-2-orange
+- cognitivecomputations/dolphin-2_6-phi-2
 ---
+
+# Phi-2-psy
+
+Phi-2-psy is a merge of the following models:
+* [rhysjones/phi-2-orange](https://huggingface.co/rhysjones/phi-2-orange)
+* [cognitivecomputations/dolphin-2_6-phi-2](https://huggingface.co/cognitivecomputations/dolphin-2_6-phi-2)
+
+## 🏆 Evaluation
+
+The evaluation was performed using [LLM AutoEval](https://github.com/mlabonne/llm-autoeval) on Nous suite.
+
+|                             Model                              |AGIEval|GPT4All|TruthfulQA|Bigbench|Average|
+|----------------------------------------------------------------|------:|------:|---------:|-------:|------:|
+|[**phi-2-psy**](https://huggingface.co/vince62s/phi-2-psy)|   **34.4**|  **71.4**|     **48.2**|   **38.1**|  **49.02**|
+|[**phixtral-2x2_8**](https://huggingface.co/mlabonne/phixtral-2x2_8)|   34.1|  70.4|     48.8|   37.8|  47.8|
+|[dolphin-2_6-phi-2](https://huggingface.co/cognitivecomputations/dolphin-2_6-phi-2)|  33.12|  69.85|     47.39|    37.2|  46.89|
+|[phi-2-orange](https://huggingface.co/rhysjones/phi-2-orange)|  33.4|  71.3|     49.9|    37.3|  47.97|
+|[phi-2](https://huggingface.co/microsoft/phi-2)|  27.98|   70.8|     44.43|   35.21|  44.61|
+
+## 🧩 Configuration
+
+```yaml
+slices:
+  - sources:
+      - model: rhysjones/phi-2-orange
+        layer_range: [0, 32]
+      - model: cognitivecomputations/dolphin-2_6-phi-2
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: rhysjones/phi-2-orange
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5
+dtype: bfloat16
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "vince62s/Phi-2-psy"
+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"])
+```