Instructions to use vonjack/Phi-3-mini-4k-instruct-LLaMAfied with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vonjack/Phi-3-mini-4k-instruct-LLaMAfied with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="vonjack/Phi-3-mini-4k-instruct-LLaMAfied") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("vonjack/Phi-3-mini-4k-instruct-LLaMAfied") model = AutoModelForCausalLM.from_pretrained("vonjack/Phi-3-mini-4k-instruct-LLaMAfied", 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 vonjack/Phi-3-mini-4k-instruct-LLaMAfied with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "vonjack/Phi-3-mini-4k-instruct-LLaMAfied" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "vonjack/Phi-3-mini-4k-instruct-LLaMAfied", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/vonjack/Phi-3-mini-4k-instruct-LLaMAfied
- SGLang
How to use vonjack/Phi-3-mini-4k-instruct-LLaMAfied 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 "vonjack/Phi-3-mini-4k-instruct-LLaMAfied" \ --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": "vonjack/Phi-3-mini-4k-instruct-LLaMAfied", "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 "vonjack/Phi-3-mini-4k-instruct-LLaMAfied" \ --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": "vonjack/Phi-3-mini-4k-instruct-LLaMAfied", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use vonjack/Phi-3-mini-4k-instruct-LLaMAfied with Docker Model Runner:
docker model run hf.co/vonjack/Phi-3-mini-4k-instruct-LLaMAfied
Not working
Hi, when I try to run this model I get gibberish.
I think you can try simple:
from transformers import pipeline
pipe = pipeline("text-generation", model="vonjack/phi-3-mini-4k-instruct-llamafied")
pipe("Hello!")
For me everything is working perfectly fine, and model is preforming great!
My code looks like this:
from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
autoModelForCausalLM = path to model folder
self.pipe = pipeline(
"text-generation",
model=self.config['autoModelForCausalLM'],
model_kwargs={"torch_dtype": torch.bfloat16},
device="cuda",
)
outputs = self.pipe(
prompt,
max_new_tokens=1024,
do_sample=True,
temperature=0.1,
top_p=0.9,
)
I tried your sample and I get:
'Hello! I I I I I LIKEzatmmzatllLL!m
IS
Running:
>>> pipe("Microsoft recently released Phi 3, which was converted into the LLaMA format", max_new_tokens=24)
[{'generated_text': 'Microsoft recently released Phi 3, which was converted into the LLaMA format.a 2. version,\nl.P,L p'}]
Ah never mind, I redownloaded the model and now it works fine. Thanks!