Instructions to use AlgoAnalytics/Test_Phi3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use AlgoAnalytics/Test_Phi3 with Transformers:

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

pipe = pipeline("text-generation", model="AlgoAnalytics/Test_Phi3", trust_remote_code=True)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("AlgoAnalytics/Test_Phi3", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("AlgoAnalytics/Test_Phi3", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use AlgoAnalytics/Test_Phi3 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "AlgoAnalytics/Test_Phi3"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "AlgoAnalytics/Test_Phi3",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/AlgoAnalytics/Test_Phi3

SGLang

How to use AlgoAnalytics/Test_Phi3 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 "AlgoAnalytics/Test_Phi3" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "AlgoAnalytics/Test_Phi3",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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 "AlgoAnalytics/Test_Phi3" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "AlgoAnalytics/Test_Phi3",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use AlgoAnalytics/Test_Phi3 with Docker Model Runner:
```
docker model run hf.co/AlgoAnalytics/Test_Phi3
```

Test_Phi3

File size: 751 Bytes

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from transformers.configuration_utils import PretrainedConfig

class Phi3Config(PretrainedConfig):
    model_type = "phi3"

    def __init__(self, 
                 vocab_size=32064, 
                 hidden_size=3072, 
                 num_hidden_layers=32, 
                 num_attention_heads=32, 
                 intermediate_size=8192, 
                 max_position_embeddings=4096, 
                 **kwargs):
        super().__init__(**kwargs)
        self.vocab_size = vocab_size
        self.hidden_size = hidden_size
        self.num_hidden_layers = num_hidden_layers
        self.num_attention_heads = num_attention_heads
        self.intermediate_size = intermediate_size
        self.max_position_embeddings = max_position_embeddings