Quantization made by Richard Erkhov.
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
!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"])