Upload folder using huggingface_hub

README.md

@@ -0,0 +1,77 @@
+---
+tags:
+- merge
+- mergekit
+- lazymergekit
+- kaitchup/Mayonnaise-4in1-022
+- macadeliccc/WestLake-7B-v2-laser-truthy-dpo
+- vanillaOVO/supermario_v2
+- SC44/Mistral-7B-private-spef
+base_model:
+- kaitchup/Mayonnaise-4in1-022
+- macadeliccc/WestLake-7B-v2-laser-truthy-dpo
+- vanillaOVO/supermario_v2
+- SC44/Mistral-7B-private-spef
+---
+
+# Wernicke-7B-v8
+
+Wernicke-7B-v8 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [kaitchup/Mayonnaise-4in1-022](https://huggingface.co/kaitchup/Mayonnaise-4in1-022)
+* [macadeliccc/WestLake-7B-v2-laser-truthy-dpo](https://huggingface.co/macadeliccc/WestLake-7B-v2-laser-truthy-dpo)
+* [vanillaOVO/supermario_v2](https://huggingface.co/vanillaOVO/supermario_v2)
+* [SC44/Mistral-7B-private-spef](https://huggingface.co/SC44/Mistral-7B-private-spef)
+
+## 🧩 Configuration
+
+```yaml
+models:
+  - model: CultriX/Wernicke-7B-v1
+    # No parameters necessary for base model
+  - model: kaitchup/Mayonnaise-4in1-022
+    parameters:
+      density: 0.53
+      weight: 0.40
+  - model: macadeliccc/WestLake-7B-v2-laser-truthy-dpo
+    parameters:
+      density: 0.53
+      weight: 0.25
+  - model: vanillaOVO/supermario_v2
+    parameters:
+      density: 0.53
+      weight: 0.25
+  - model: SC44/Mistral-7B-private-spef
+    parameters:
+      density: 0.53
+      weight: 0.20
+merge_method: dare_ties
+base_model: CultriX/Wernicke-7B-v1
+parameters:
+  int8_mask: true
+dtype: float16
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "CultriX/Wernicke-7B-v8"
+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"])
+```