Instructions to use microsoft/phi-1_5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/phi-1_5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="microsoft/phi-1_5")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("microsoft/phi-1_5") model = AutoModelForCausalLM.from_pretrained("microsoft/phi-1_5") - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use microsoft/phi-1_5 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "microsoft/phi-1_5" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "microsoft/phi-1_5", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/microsoft/phi-1_5
- SGLang
How to use microsoft/phi-1_5 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 "microsoft/phi-1_5" \ --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": "microsoft/phi-1_5", "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 "microsoft/phi-1_5" \ --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": "microsoft/phi-1_5", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use microsoft/phi-1_5 with Docker Model Runner:
docker model run hf.co/microsoft/phi-1_5
Link paper to arXiv
#5
by osanseviero - opened
README.md
CHANGED
|
@@ -119,6 +119,9 @@ print(text)
|
|
| 119 |
Furthermore, in the forward pass of the model, we currently do not support outputing hidden states or attention values, or using custom input embeddings (instead of the model's).
|
| 120 |
|
| 121 |
### Citation
|
|
|
|
|
|
|
|
|
|
| 122 |
```bib
|
| 123 |
@article{textbooks2,
|
| 124 |
title={Textbooks Are All You Need II: \textbf{phi-1.5} technical report},
|
|
|
|
| 119 |
Furthermore, in the forward pass of the model, we currently do not support outputing hidden states or attention values, or using custom input embeddings (instead of the model's).
|
| 120 |
|
| 121 |
### Citation
|
| 122 |
+
|
| 123 |
+
You can find the paper at https://arxiv.org/abs/2309.05463
|
| 124 |
+
|
| 125 |
```bib
|
| 126 |
@article{textbooks2,
|
| 127 |
title={Textbooks Are All You Need II: \textbf{phi-1.5} technical report},
|