argilla/distilabel-intel-orca-dpo-pairs
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How to use rbgo/Super-phi-2-dpo with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-generation", model="rbgo/Super-phi-2-dpo", trust_remote_code=True) # Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("rbgo/Super-phi-2-dpo", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("rbgo/Super-phi-2-dpo", trust_remote_code=True)How to use rbgo/Super-phi-2-dpo with vLLM:
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "rbgo/Super-phi-2-dpo"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "rbgo/Super-phi-2-dpo",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'docker model run hf.co/rbgo/Super-phi-2-dpo
How to use rbgo/Super-phi-2-dpo with SGLang:
# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
--model-path "rbgo/Super-phi-2-dpo" \
--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": "rbgo/Super-phi-2-dpo",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'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 "rbgo/Super-phi-2-dpo" \
--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": "rbgo/Super-phi-2-dpo",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'How to use rbgo/Super-phi-2-dpo with Docker Model Runner:
docker model run hf.co/rbgo/Super-phi-2-dpo
Serverless GPUs to scale your machine learning inference without any hassle of managing servers, deploy complicated and custom models with ease.
Go through this tutorial, for quickly deploy of Phi-2 using Inferless
This repo contains DPO Finetuned model files for Microsoft Phi-2.
Base model
microsoft/phi-2