Instructions to use Almawave/Velvet-14B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Almawave/Velvet-14B with Transformers:

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

pipe = pipeline("text-generation", model="Almawave/Velvet-14B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Almawave/Velvet-14B")
model = AutoModelForCausalLM.from_pretrained("Almawave/Velvet-14B")
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 Almawave/Velvet-14B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Almawave/Velvet-14B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Almawave/Velvet-14B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Almawave/Velvet-14B

SGLang

How to use Almawave/Velvet-14B 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 "Almawave/Velvet-14B" \
    --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": "Almawave/Velvet-14B",
		"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 "Almawave/Velvet-14B" \
        --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": "Almawave/Velvet-14B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Almawave/Velvet-14B with Docker Model Runner:
```
docker model run hf.co/Almawave/Velvet-14B
```

Discussing ethical considerations for Velvel models

by FDegni - opened Jan 31, 2025

Discussion

FDegni

Jan 31, 2025

Hi everyone,

Congratulations on this new achievement made in Italy!
I'd like to stick the thread as space to discuss potential ethical implications of this model, share resources, and brainstorm ways to mitigate risks. We encourage open and respectful dialogue.

Let's work together to build a responsible and Ethical AI and have a great weekend.

Fab

vincenzo-sciacca-fox

Almawave org Jan 31, 2025

Hi everyone,

Congratulations on this new achievement made in Italy!
I'd like to stick the thread as space to discuss potential ethical implications of this model, share resources, and brainstorm ways to mitigate risks. We encourage open and respectful dialogue.

Let's work together to build a responsible and Ethical AI and have a great weekend.

Fab

Thank you for your initiative. We have made significant efforts to eliminate toxic content, discarding more than half of the available data due to its toxicity. We also collaborated with the Italian Society for the Ethics of Artificial Intelligence to help build a responsible and ethical AI. However, the road ahead is still long

Giuseppetorre

Feb 2, 2025

Guardiamo con molto interesse a questo nuovo modello italiano. Non vediamo l'ora di poterlo utilizzare per la didattica del diploma di etica e AI della Pontificia Università Antonianum.

glangella

Feb 3, 2025

Hello everyone, A heartfelt congratulations to the team behind this remarkable Italian achievement in AI development! 🎉

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