Instructions to use Bioaligned/Andy-Phi4-CPT-BioValue with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Bioaligned/Andy-Phi4-CPT-BioValue with PEFT:

from peft import PeftModel
from transformers import AutoModelForCausalLM

base_model = AutoModelForCausalLM.from_pretrained("microsoft/phi-4")
model = PeftModel.from_pretrained(base_model, "Bioaligned/Andy-Phi4-CPT-BioValue")

Transformers

How to use Bioaligned/Andy-Phi4-CPT-BioValue with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="Bioaligned/Andy-Phi4-CPT-BioValue")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Bioaligned/Andy-Phi4-CPT-BioValue", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Bioaligned/Andy-Phi4-CPT-BioValue with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Bioaligned/Andy-Phi4-CPT-BioValue"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Bioaligned/Andy-Phi4-CPT-BioValue",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Bioaligned/Andy-Phi4-CPT-BioValue

SGLang

How to use Bioaligned/Andy-Phi4-CPT-BioValue with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "Bioaligned/Andy-Phi4-CPT-BioValue" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Bioaligned/Andy-Phi4-CPT-BioValue",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "Bioaligned/Andy-Phi4-CPT-BioValue" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Bioaligned/Andy-Phi4-CPT-BioValue",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Bioaligned/Andy-Phi4-CPT-BioValue with Docker Model Runner:
```
docker model run hf.co/Bioaligned/Andy-Phi4-CPT-BioValue
```

Andy-Phi4-CPT-BioValue / chat_template.jinja

trentnorth

Add phi-4 CPT bio-value adapter (1 epoch, val_loss 1.96->1.77)

97638ad verified 5 months ago

Raw History Blame Contribute Delete

462 Bytes

{% for message in messages %}{% if (message['role'] == 'system') %}{{'<|im_start|>system<|im_sep|>' + message['content'] + '<|im_end|>'}}{% elif (message['role'] == 'user') %}{{'<|im_start|>user<|im_sep|>' + message['content'] + '<|im_end|>'}}{% elif (message['role'] == 'assistant') %}{{'<|im_start|>assistant<|im_sep|>' + message['content'] + '<|im_end|>'}}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant<|im_sep|>' }}{% endif %}