Instructions to use MrinalKumar/finance-analyzer-V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use MrinalKumar/finance-analyzer-V2 with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("MrinalKumar/finance-analyzer-V2", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use MrinalKumar/finance-analyzer-V2 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-V2:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf MrinalKumar/finance-analyzer-V2: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-V2:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf MrinalKumar/finance-analyzer-V2: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-V2:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf MrinalKumar/finance-analyzer-V2: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-V2:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf MrinalKumar/finance-analyzer-V2:Q4_K_M

Use Docker

docker model run hf.co/MrinalKumar/finance-analyzer-V2:Q4_K_M

LM Studio
Jan
Ollama
How to use MrinalKumar/finance-analyzer-V2 with Ollama:
```
ollama run hf.co/MrinalKumar/finance-analyzer-V2:Q4_K_M
```

Unsloth Studio

How to use MrinalKumar/finance-analyzer-V2 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-V2 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-V2 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-V2 to start chatting

Docker Model Runner
How to use MrinalKumar/finance-analyzer-V2 with Docker Model Runner:
```
docker model run hf.co/MrinalKumar/finance-analyzer-V2:Q4_K_M
```

Lemonade

How to use MrinalKumar/finance-analyzer-V2 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull MrinalKumar/finance-analyzer-V2:Q4_K_M

Run and chat with the model

lemonade run user.finance-analyzer-V2-Q4_K_M

List all available models

lemonade list

Atomic Chat

finance-analyzer-V2 / .gitattributes

Commit History

(Trained with Unsloth)

c96284c
verified

Mrinal Kumar commited on Aug 13, 2025

initial commit

ba74870
verified

Mrinal Kumar commited on Aug 13, 2025

Commit History

(Trained with Unsloth) c96284c verified

initial commit ba74870 verified

(Trained with Unsloth)

c96284c
verified

initial commit

ba74870
verified