Instructions to use pytorch/Phi-4-mini-instruct-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use pytorch/Phi-4-mini-instruct-FP8 with Transformers:

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

pipe = pipeline("text-generation", model="pytorch/Phi-4-mini-instruct-FP8", 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("pytorch/Phi-4-mini-instruct-FP8", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("pytorch/Phi-4-mini-instruct-FP8", 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 Settings

vLLM

How to use pytorch/Phi-4-mini-instruct-FP8 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "pytorch/Phi-4-mini-instruct-FP8"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "pytorch/Phi-4-mini-instruct-FP8",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/pytorch/Phi-4-mini-instruct-FP8

SGLang

How to use pytorch/Phi-4-mini-instruct-FP8 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 "pytorch/Phi-4-mini-instruct-FP8" \
    --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": "pytorch/Phi-4-mini-instruct-FP8",
		"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 "pytorch/Phi-4-mini-instruct-FP8" \
        --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": "pytorch/Phi-4-mini-instruct-FP8",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use pytorch/Phi-4-mini-instruct-FP8 with Docker Model Runner:
```
docker model run hf.co/pytorch/Phi-4-mini-instruct-FP8
```

jerryzh168 commited on Sep 9, 2025

Commit

78936cd

verified ·

1 Parent(s): 791e5c9

Upload Phi3ForCausalLM

Browse files

Files changed (3) hide show

config.json +8 -2
generation_config.json +1 -1
pytorch_model.bin +2 -2

config.json CHANGED Viewed

@@ -39,6 +39,8 @@
             "_data": "float8_e4m3fn",
             "_type": "torch.dtype"
           },
           "granularity": [
             {
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@@ -51,6 +53,10 @@
               "_version": 1
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           "mm_config": {
             "_data": {
               "emulate": false,
@@ -67,7 +73,7 @@
           }
         },
         "_type": "Float8DynamicActivationFloat8WeightConfig",
-        "_version": 1
       }
     },
     "quant_type_kwargs": {},
@@ -182,7 +188,7 @@
   "sliding_window": 262144,
   "tie_word_embeddings": true,
   "torch_dtype": "bfloat16",
-  "transformers_version": "4.53.0.dev0",
   "use_cache": true,
   "vocab_size": 200064
 }

             "_data": "float8_e4m3fn",
             "_type": "torch.dtype"
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           "granularity": [
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               "_version": 1
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+            "_type": "KernelPreference"
+          },
           "mm_config": {
             "_data": {
               "emulate": false,
           }
         },
         "_type": "Float8DynamicActivationFloat8WeightConfig",
+        "_version": 2
       }
     },
     "quant_type_kwargs": {},
   "sliding_window": 262144,
   "tie_word_embeddings": true,
   "torch_dtype": "bfloat16",
+  "transformers_version": "4.55.4",
   "use_cache": true,
   "vocab_size": 200064
 }

generation_config.json CHANGED Viewed

@@ -6,5 +6,5 @@
     199999
   ],
   "pad_token_id": 199999,
-  "transformers_version": "4.53.0.dev0"
 }

     199999
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