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README.md

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+Quantization made by Richard Erkhov.
+
+[Github](https://github.com/RichardErkhov)
+
+[Discord](https://discord.gg/pvy7H8DZMG)
+
+[Request more models](https://github.com/RichardErkhov/quant_request)
+
+
+delta-4b-orange - bnb 4bits
+- Model creator: https://huggingface.co/frankenmerger/
+- Original model: https://huggingface.co/frankenmerger/delta-4b-orange/
+
+
+
+
+Original model description:
+---
+widget:
+- text: Hello, My name is Junpei Iori, who are you?
+  example_title: Identity
+- text: Describe Aurora Borealis
+  example_title: Capabilities
+- text: Create a fastapi endpoint to retrieve the weather given a zip code.
+  example_title: Coding
+license: apache-2.0
+language:
+- en
+pipeline_tag: text-generation
+---
+
+delta-4b-orange is frankenmerge of phi-2-orange-v2.
+The purpose is to create 4B parameters model based on Phi-2.
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "gmonsoon/delta-4b-orange"
+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"])
+```
+