Instructions to use MrinalKumar/finance-analyzer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use MrinalKumar/finance-analyzer with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("MrinalKumar/finance-analyzer", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use MrinalKumar/finance-analyzer with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf MrinalKumar/finance-analyzer:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf MrinalKumar/finance-analyzer:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf MrinalKumar/finance-analyzer:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf MrinalKumar/finance-analyzer:Q4_K_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf MrinalKumar/finance-analyzer:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf MrinalKumar/finance-analyzer:Q4_K_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf MrinalKumar/finance-analyzer:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf MrinalKumar/finance-analyzer:Q4_K_M

Use Docker

docker model run hf.co/MrinalKumar/finance-analyzer:Q4_K_M

LM Studio
Jan
Ollama
How to use MrinalKumar/finance-analyzer with Ollama:
```
ollama run hf.co/MrinalKumar/finance-analyzer:Q4_K_M
```

Unsloth Studio

How to use MrinalKumar/finance-analyzer 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 MrinalKumar/finance-analyzer 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 MrinalKumar/finance-analyzer to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for MrinalKumar/finance-analyzer to start chatting

Docker Model Runner
How to use MrinalKumar/finance-analyzer with Docker Model Runner:
```
docker model run hf.co/MrinalKumar/finance-analyzer:Q4_K_M
```

Lemonade

How to use MrinalKumar/finance-analyzer with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull MrinalKumar/finance-analyzer:Q4_K_M

Run and chat with the model

lemonade run user.finance-analyzer-Q4_K_M

List all available models

lemonade list

Atomic Chat

finance-analyzer

Commit History

Update README.md

ad7c0ab
verified

fango top commited on Aug 13, 2025

(Trained with Unsloth)

4b08af5
verified

Mrinal Kumar commited on Aug 11, 2025

(Trained with Unsloth)

148a1f2
verified

Mrinal Kumar commited on Aug 11, 2025

Upload README.md with huggingface_hub

b0679e6
verified

Mrinal Kumar commited on Aug 11, 2025

initial commit

83b32f1
verified

Mrinal Kumar commited on Aug 11, 2025

Commit History

Update README.md ad7c0ab verified

(Trained with Unsloth) 4b08af5 verified

(Trained with Unsloth) 148a1f2 verified

Upload README.md with huggingface_hub b0679e6 verified

initial commit 83b32f1 verified

Update README.md

ad7c0ab
verified

(Trained with Unsloth)

4b08af5
verified

(Trained with Unsloth)

148a1f2
verified

Upload README.md with huggingface_hub

b0679e6
verified

initial commit

83b32f1
verified