Instructions to use projecte-aina/aguila-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use projecte-aina/aguila-7b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="projecte-aina/aguila-7b", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("projecte-aina/aguila-7b", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use projecte-aina/aguila-7b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "projecte-aina/aguila-7b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "projecte-aina/aguila-7b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/projecte-aina/aguila-7b
- SGLang
How to use projecte-aina/aguila-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 "projecte-aina/aguila-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": "projecte-aina/aguila-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 "projecte-aina/aguila-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": "projecte-aina/aguila-7b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use projecte-aina/aguila-7b with Docker Model Runner:
docker model run hf.co/projecte-aina/aguila-7b
RAM crash when loading shards
Hello, three days ago I was able to load the model on a Google Colab with a T4 GPU (free account). Now, when loading the shards, it overloads the RAM and doesn't manage to load it onto the GPU.
Thanks in advance.
This is the code that I-m using:
import torch
from transformers import pipeline, AutoTokenizer, AutoModelForCausalLM
input_text = "El mercat del barri és fantàstic, hi pots trobar"
device = "cuda:0" if torch.cuda.is_available() else "cpu"
model_id = "projecte-aina/aguila-7b"
tokenizer = AutoTokenizer.from_pretrained(model_id)
print(device)
generator = pipeline(
"text-generation",
model=model_id,
tokenizer=tokenizer,
device_map=device,
trust_remote_code=True,
torch_dtype=torch.bfloat16,
)
generation = generator(
input_text,
do_sample=True,
top_k=10,
max_new_tokens=10,
eos_token_id=tokenizer.eos_token_id,
)
print(f"Result: {generation[0]['generated_text']}")