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awilliamson/phrankened
phrankened is a text generation model from awilliamson. Use it when you need the model to write or continue text. It is set up for transformers.
phrankened is a merge of the following models using LazyMergekit: microsoft/phi-2 microsoft/phi-2
Downloads · 30 days
19
20% of all-time downloads
All-time downloads
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.safetensors7.8 GB · 100%
From the Hugging Face model README
phrankened is a merge of the following models using LazyMergekit:
slices:
- sources:
- model: "microsoft/phi-2"
layer_range: [0, 12]
- sources:
- model: "microsoft/phi-2"
layer_range: [10, 22]
merge_method: passthrough
dtype: bfloat16
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "awilliamson/phrankened"
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"])