Downloads · 30 days
18
5% of all-time downloads
vedalken/phi2-2B-slerp
phi2-2B-slerp is a text generation model from vedalken. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
phi2-2B-slerp is a merge of the following models using LazyMergekit: microsoft/phi-2 microsoft/phi-2
Downloads · 30 days
18
5% of all-time downloads
All-time downloads
340
Public
Parameters
2.8B
5.6 GB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors5.6 GB · 100%
From the Hugging Face model README
phi2-2B-slerp is a merge of the following models using LazyMergekit:
slices:
- sources:
- model: microsoft/phi-2
layer_range: [0, 32]
- model: microsoft/phi-2
layer_range: [0, 32]
merge_method: slerp
base_model: microsoft/phi-2
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
dtype: bfloat16
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "vedalken/phi2-2B-slerp"
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"])