Instructions to use TheFinAI/Fino1-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TheFinAI/Fino1-8B with Transformers:

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

pipe = pipeline("text-generation", model="TheFinAI/Fino1-8B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("TheFinAI/Fino1-8B")
model = AutoModelForCausalLM.from_pretrained("TheFinAI/Fino1-8B", 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=256)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use TheFinAI/Fino1-8B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "TheFinAI/Fino1-8B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "TheFinAI/Fino1-8B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/TheFinAI/Fino1-8B

SGLang

How to use TheFinAI/Fino1-8B 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 "TheFinAI/Fino1-8B" \
    --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": "TheFinAI/Fino1-8B",
		"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 "TheFinAI/Fino1-8B" \
        --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": "TheFinAI/Fino1-8B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use TheFinAI/Fino1-8B with Docker Model Runner:
```
docker model run hf.co/TheFinAI/Fino1-8B
```

Refine model card

by nielsr HF Staff - opened Feb 14, 2025

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

-2

nielsr

Feb 14, 2025

This PR ensures the model is properly categorized, since it's a model which is designed for question answering.

Refine model carda1fb7b4c

Update README.mdfa76f4e2

jiminHuang

The Fin AI org 12 days ago

Hugging Face CLI

Thank you for this contribution! We have just rewritten this card as part of a Hub-wide cleanup (metadata, paper links, license, usage), which covers these changes, so we're closing this PR. Much appreciated.

jiminHuang changed pull request status to closed 12 days ago

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