Update README.md

README.md

@@ -1,64 +1 @@
----
-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
----
-
-# Phiter
-
-Phiter is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
-* [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)
-
-## 🧩 Configuration
-
-```yaml
-models:
-  - model: mixedbread-ai/phi-2
-    # no parameters necessary for base model
-  - model: rhysjones/phi-2-orange
-    parameters:
-      density: 0.5
-      weight: 0.5
-  - model: cognitivecomputations/dolphin-2_6-phi-2
-    parameters:
-      density: 0.5
-      weight: 0.3
-merge_method: ties
-base_model: mixedbread-ai/phi-2
-parameters:
-  normalize: true
-dtype: float16
-
-```
-
-## 💻 Usage
-
-```python
-!pip install -qU transformers accelerate
-
-from transformers import AutoTokenizer
-import transformers
-import torch
-
-model = "Venkman42/Phiter"
-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"])
-```
+GGUF for [Venkman42/Phiter](https://huggingface.co/Venkman42/Phiter)