Instructions to use microsoft/Phi-3-mini-128k-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use microsoft/Phi-3-mini-128k-instruct with Transformers:

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

pipe = pipeline("text-generation", model="microsoft/Phi-3-mini-128k-instruct", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("microsoft/Phi-3-mini-128k-instruct", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-128k-instruct", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use microsoft/Phi-3-mini-128k-instruct with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "microsoft/Phi-3-mini-128k-instruct"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "microsoft/Phi-3-mini-128k-instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/microsoft/Phi-3-mini-128k-instruct

SGLang

How to use microsoft/Phi-3-mini-128k-instruct 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-3-mini-128k-instruct" \
    --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": "microsoft/Phi-3-mini-128k-instruct",
		"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 "microsoft/Phi-3-mini-128k-instruct" \
        --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": "microsoft/Phi-3-mini-128k-instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use microsoft/Phi-3-mini-128k-instruct with Docker Model Runner:
```
docker model run hf.co/microsoft/Phi-3-mini-128k-instruct
```

gugarosa commited on May 2, 2024

Commit

03fad24

verified ·

1 Parent(s): 39d6675

fix(tokenizer_config): Adjusts `rstrip` of special tokens.

Browse files

Files changed (1) hide show

tokenizer_config.json +12 -12

tokenizer_config.json CHANGED Viewed

@@ -22,9 +22,9 @@
       "content": "</s>",
       "lstrip": false,
       "normalized": false,
-      "rstrip": false,
       "single_word": false,
-      "special": true
     },
     "32000": {
       "content": "<|endoftext|>",
@@ -38,7 +38,7 @@
       "content": "<|assistant|>",
       "lstrip": false,
       "normalized": false,
-      "rstrip": false,
       "single_word": false,
       "special": true
     },
@@ -46,7 +46,7 @@
       "content": "<|placeholder1|>",
       "lstrip": false,
       "normalized": false,
-      "rstrip": false,
       "single_word": false,
       "special": true
     },
@@ -54,7 +54,7 @@
       "content": "<|placeholder2|>",
       "lstrip": false,
       "normalized": false,
-      "rstrip": false,
       "single_word": false,
       "special": true
     },
@@ -62,7 +62,7 @@
       "content": "<|placeholder3|>",
       "lstrip": false,
       "normalized": false,
-      "rstrip": false,
       "single_word": false,
       "special": true
     },
@@ -70,7 +70,7 @@
       "content": "<|placeholder4|>",
       "lstrip": false,
       "normalized": false,
-      "rstrip": false,
       "single_word": false,
       "special": true
     },
@@ -78,7 +78,7 @@
       "content": "<|system|>",
       "lstrip": false,
       "normalized": false,
-      "rstrip": false,
       "single_word": false,
       "special": true
     },
@@ -86,7 +86,7 @@
       "content": "<|end|>",
       "lstrip": false,
       "normalized": false,
-      "rstrip": false,
       "single_word": false,
       "special": true
     },
@@ -94,7 +94,7 @@
       "content": "<|placeholder5|>",
       "lstrip": false,
       "normalized": false,
-      "rstrip": false,
       "single_word": false,
       "special": true
     },
@@ -102,7 +102,7 @@
       "content": "<|placeholder6|>",
       "lstrip": false,
       "normalized": false,
-      "rstrip": false,
       "single_word": false,
       "special": true
     },
@@ -110,7 +110,7 @@
       "content": "<|user|>",
       "lstrip": false,
       "normalized": false,
-      "rstrip": false,
       "single_word": false,
       "special": true
     }

       "content": "</s>",
       "lstrip": false,
       "normalized": false,
+      "rstrip": true,
       "single_word": false,
+      "special": false
     },
     "32000": {
       "content": "<|endoftext|>",
       "content": "<|assistant|>",
       "lstrip": false,
       "normalized": false,
+      "rstrip": true,
       "single_word": false,
       "special": true
     },
       "content": "<|placeholder1|>",
       "lstrip": false,
       "normalized": false,
+      "rstrip": true,
       "single_word": false,
       "special": true
     },
       "content": "<|placeholder2|>",
       "lstrip": false,
       "normalized": false,
+      "rstrip": true,
       "single_word": false,
       "special": true
     },
       "content": "<|placeholder3|>",
       "lstrip": false,
       "normalized": false,
+      "rstrip": true,
       "single_word": false,
       "special": true
     },
       "content": "<|placeholder4|>",
       "lstrip": false,
       "normalized": false,
+      "rstrip": true,
       "single_word": false,
       "special": true
     },
       "content": "<|system|>",
       "lstrip": false,
       "normalized": false,
+      "rstrip": true,
       "single_word": false,
       "special": true
     },
       "content": "<|end|>",
       "lstrip": false,
       "normalized": false,
+      "rstrip": true,
       "single_word": false,
       "special": true
     },
       "content": "<|placeholder5|>",
       "lstrip": false,
       "normalized": false,
+      "rstrip": true,
       "single_word": false,
       "special": true
     },
       "content": "<|placeholder6|>",
       "lstrip": false,
       "normalized": false,
+      "rstrip": true,
       "single_word": false,
       "special": true
     },
       "content": "<|user|>",
       "lstrip": false,
       "normalized": false,
+      "rstrip": true,
       "single_word": false,
       "special": true
     }