Instructions to use typeof/phi-1_5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use typeof/phi-1_5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="typeof/phi-1_5", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("typeof/phi-1_5", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use typeof/phi-1_5 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "typeof/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": "typeof/phi-1_5", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/typeof/phi-1_5
- SGLang
How to use typeof/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 "typeof/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": "typeof/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 "typeof/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": "typeof/phi-1_5", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use typeof/phi-1_5 with Docker Model Runner:
docker model run hf.co/typeof/phi-1_5
File size: 880 Bytes
c86e829 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 | {
"_name_or_path": "phi-1.5-half",
"activation_function": "gelu_new",
"architecture": {
"block_cls": "parallel",
"mixer": {},
"mlp": {
"mlp_cls": "mlp"
}
},
"architectures": [
"MixFormerSequentialForCausalLM"
],
"auto_map": {
"AutoConfig": "configuration_mixformer_sequential.MixFormerSequentialConfig",
"AutoModelForCausalLM": "modeling_mixformer_sequential.MixFormerSequentialForCausalLM"
},
"embd_layer": "default",
"embd_pdrop": 0.0,
"initializer_range": 0.02,
"layer_norm_epsilon": 1e-05,
"model_type": "mixformer-sequential",
"n_embd": 2048,
"n_head": 32,
"n_inner": null,
"n_layer": 24,
"n_positions": 2048,
"phyagi_version": "0.0.4.dev",
"resid_pdrop": 0.0,
"rotary_dim": 32,
"tie_word_embeddings": false,
"torch_dtype": "float16",
"transformers_version": "4.32.1",
"vocab_size": 51200
}
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