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delta-4b-orange - bnb 8bits

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.

馃捇 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"])
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Model size
4.67B params
Tensor type
F32
FP16
I8
Inference API
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