Libraries Transformers How to use aiplanet/effi-7b with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-generation", model="aiplanet/effi-7b") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("aiplanet/effi-7b")
model = AutoModelForCausalLM.from_pretrained("aiplanet/effi-7b", device_map="auto") Notebooks Google Colab Kaggle Local Apps Settings vLLM How to use aiplanet/effi-7b with vLLM:
Install from pip and serve model # Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "aiplanet/effi-7b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "aiplanet/effi-7b",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}' Use Docker docker model run hf.co/aiplanet/effi-7b SGLang How to use aiplanet/effi-7b 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 "aiplanet/effi-7b" \
--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": "aiplanet/effi-7b",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}' 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 "aiplanet/effi-7b" \
--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": "aiplanet/effi-7b",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}' Docker Model Runner How to use aiplanet/effi-7b with Docker Model Runner:
docker model run hf.co/aiplanet/effi-7b 
Chanukya Patnaik +1: jaintarunAI - Update README.md (038fc9ed72fe5c104650136830d995be230e32a1) Co-authored-by: Tarun Jain <jaintarunAI@users.noreply.huggingface.co>a630988
Chanukya Patnaik +1: librarian-bot - Librarian Bot: Add base_model information to model (3aec67b4d398fc12a40189b96d17d7f00dfc241d) Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>7d2b715
Chanukya Patnaik +1: lucifertrj - metadata UI updated (a54c11ea29ea71f7ff8ba0f5cf5ed4e4385ca6f4) Co-authored-by: Tarun Jain <lucifertrj@users.noreply.huggingface.co>42fa1bc