Instructions to use SoumilB7/Moonfinance-Rag-Reasoning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use SoumilB7/Moonfinance-Rag-Reasoning with Transformers:

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

pipe = pipeline("text-generation", model="SoumilB7/Moonfinance-Rag-Reasoning")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("SoumilB7/Moonfinance-Rag-Reasoning", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use SoumilB7/Moonfinance-Rag-Reasoning with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "SoumilB7/Moonfinance-Rag-Reasoning"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "SoumilB7/Moonfinance-Rag-Reasoning",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/SoumilB7/Moonfinance-Rag-Reasoning

SGLang

How to use SoumilB7/Moonfinance-Rag-Reasoning 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 "SoumilB7/Moonfinance-Rag-Reasoning" \
    --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": "SoumilB7/Moonfinance-Rag-Reasoning",
		"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 "SoumilB7/Moonfinance-Rag-Reasoning" \
        --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": "SoumilB7/Moonfinance-Rag-Reasoning",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Unsloth Studio new

How to use SoumilB7/Moonfinance-Rag-Reasoning with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for SoumilB7/Moonfinance-Rag-Reasoning to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for SoumilB7/Moonfinance-Rag-Reasoning to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for SoumilB7/Moonfinance-Rag-Reasoning to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="SoumilB7/Moonfinance-Rag-Reasoning",
    max_seq_length=2048,
)

Docker Model Runner
How to use SoumilB7/Moonfinance-Rag-Reasoning with Docker Model Runner:
```
docker model run hf.co/SoumilB7/Moonfinance-Rag-Reasoning
```

Moonfinance-Rag-Reasoning / LICENSE.txt

SoumilB7

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	cc-by-4.0

	Copyright (c) 2025 SoumilB7

	Permission is hereby granted, free of charge, to any person obtaining a copy
	of this software and associated documentation files (SoumilB7/Moonfinance-Rag-Reasoning Huggingface model), to use,
	copy, modify, and distribute the Software, subject to the following conditions:

	1. Non-Commercial Use Only
	The Software may not be used, in whole or in part, for any purpose that is
	primarily intended for or directed toward commercial advantage or monetary
	compensation.

	2. Prohibited Uses
	The Software may not be incorporated into, or used to develop, any product
	or service offered by a company or individual for profit, including but not
	limited to:
	- Corporate product development
	- Proprietary or closed-source software
	- SaaS or cloud-based services
	- Any other project with financial gain as a goal

	3. Attribution
	Redistributions of the Software must include this license text and a clear
	attribution to the original author(s).

	4. No Warranty
	The Software is provided “as is”, without warranty of any kind, express or
	implied, including but not limited to the warranties of merchantability,
	fitness for a particular purpose, and noninfringement. In no event shall the
	authors be liable for any claim, damages, or other liability arising from
	the use of the Software.