Instructions to use unsloth/Phi-4-mini-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use unsloth/Phi-4-mini-instruct with Transformers:

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

pipe = pipeline("text-generation", model="unsloth/Phi-4-mini-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("unsloth/Phi-4-mini-instruct", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("unsloth/Phi-4-mini-instruct", trust_remote_code=True, device_map="auto")
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 Settings

vLLM

How to use unsloth/Phi-4-mini-instruct with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "unsloth/Phi-4-mini-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": "unsloth/Phi-4-mini-instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/unsloth/Phi-4-mini-instruct

SGLang

How to use unsloth/Phi-4-mini-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 "unsloth/Phi-4-mini-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": "unsloth/Phi-4-mini-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 "unsloth/Phi-4-mini-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": "unsloth/Phi-4-mini-instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Unsloth Studio

How to use unsloth/Phi-4-mini-instruct with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for unsloth/Phi-4-mini-instruct to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for unsloth/Phi-4-mini-instruct to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for unsloth/Phi-4-mini-instruct to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="unsloth/Phi-4-mini-instruct",
    max_seq_length=2048,
)

Docker Model Runner
How to use unsloth/Phi-4-mini-instruct with Docker Model Runner:
```
docker model run hf.co/unsloth/Phi-4-mini-instruct
```

danielhanchen commited on Mar 3, 2025

Commit

dc98b36

verified ·

1 Parent(s): 0f6c34b

Add files using upload-large-folder tool

Browse files

Files changed (4) hide show

config.json +1 -1
generation_config.json +1 -4
special_tokens_map.json +1 -7
tokenizer_config.json +1 -1

config.json CHANGED Viewed

@@ -12,7 +12,7 @@
   },
   "bos_token_id": 199999,
   "embd_pdrop": 0.0,
-  "eos_token_id": 199999,
   "full_attn_mod": 1,
   "hidden_act": "silu",
   "hidden_size": 3072,

   },
   "bos_token_id": 199999,
   "embd_pdrop": 0.0,
+  "eos_token_id": 200020,
   "full_attn_mod": 1,
   "hidden_act": "silu",
   "hidden_size": 3072,

generation_config.json CHANGED Viewed

@@ -1,10 +1,7 @@
 {
   "_from_model_config": true,
   "bos_token_id": 199999,
-  "eos_token_id": [
-    200020,
-    199999
-  ],
   "max_length": 131072,
   "pad_token_id": 200029,
   "transformers_version": "4.49.0"

 {
   "_from_model_config": true,
   "bos_token_id": 199999,
+  "eos_token_id": 200020,
   "max_length": 131072,
   "pad_token_id": 200029,
   "transformers_version": "4.49.0"

special_tokens_map.json CHANGED Viewed

@@ -6,13 +6,7 @@
     "rstrip": false,
     "single_word": false
   },
-  "eos_token": {
-    "content": "<|endoftext|>",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  },
   "pad_token": "<｜PAD▁TOKEN｜>",
   "unk_token": "ï¿½"
 }

     "rstrip": false,
     "single_word": false
   },
+  "eos_token": "<|end|>",
   "pad_token": "<｜PAD▁TOKEN｜>",
   "unk_token": "ï¿½"
 }

tokenizer_config.json CHANGED Viewed

@@ -119,7 +119,7 @@
   "bos_token": "<|endoftext|>",
   "chat_template": "{% for message in messages %}{% if message['role'] == 'system' and 'tools' in message and message['tools'] is not none %}{{ '<|' + message['role'] + '|>' + message['content'] + '<|tool|>' + message['tools'] + '<|/tool|>' + '<|end|>' }}{% else %}{{ '<|' + message['role'] + '|>' + message['content'] + '<|end|>' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|>' }}{% endif %}",
   "clean_up_tokenization_spaces": false,
-  "eos_token": "<|endoftext|>",
   "extra_special_tokens": {},
   "model_max_length": 131072,
   "pad_token": "<｜PAD▁TOKEN｜>",

   "bos_token": "<|endoftext|>",
   "chat_template": "{% for message in messages %}{% if message['role'] == 'system' and 'tools' in message and message['tools'] is not none %}{{ '<|' + message['role'] + '|>' + message['content'] + '<|tool|>' + message['tools'] + '<|/tool|>' + '<|end|>' }}{% else %}{{ '<|' + message['role'] + '|>' + message['content'] + '<|end|>' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|>' }}{% endif %}",
   "clean_up_tokenization_spaces": false,
+  "eos_token": "<|end|>",
   "extra_special_tokens": {},
   "model_max_length": 131072,
   "pad_token": "<｜PAD▁TOKEN｜>",