Instructions to use santosh1101/janmitra-gemma-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use santosh1101/janmitra-gemma-2b with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="santosh1101/janmitra-gemma-2b",
	filename="janmitra-q4.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use santosh1101/janmitra-gemma-2b with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf santosh1101/janmitra-gemma-2b
# Run inference directly in the terminal:
llama-cli -hf santosh1101/janmitra-gemma-2b

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf santosh1101/janmitra-gemma-2b
# Run inference directly in the terminal:
llama-cli -hf santosh1101/janmitra-gemma-2b

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 santosh1101/janmitra-gemma-2b
# Run inference directly in the terminal:
./llama-cli -hf santosh1101/janmitra-gemma-2b

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 santosh1101/janmitra-gemma-2b
# Run inference directly in the terminal:
./build/bin/llama-cli -hf santosh1101/janmitra-gemma-2b

Use Docker

docker model run hf.co/santosh1101/janmitra-gemma-2b

LM Studio
Jan
Ollama
How to use santosh1101/janmitra-gemma-2b with Ollama:
```
ollama run hf.co/santosh1101/janmitra-gemma-2b
```

Unsloth Studio new

How to use santosh1101/janmitra-gemma-2b 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 santosh1101/janmitra-gemma-2b 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 santosh1101/janmitra-gemma-2b to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for santosh1101/janmitra-gemma-2b to start chatting

Docker Model Runner
How to use santosh1101/janmitra-gemma-2b with Docker Model Runner:
```
docker model run hf.co/santosh1101/janmitra-gemma-2b
```

Lemonade

How to use santosh1101/janmitra-gemma-2b with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull santosh1101/janmitra-gemma-2b

Run and chat with the model

lemonade run user.janmitra-gemma-2b-{{QUANT_TAG}}

List all available models

lemonade list

JanMitra - Government Schemes Assistant

A fine-tuned Gemma 2B model specialized in Indian government schemes for citizens of Andhra Pradesh, Telangana, and India.

Model Description

JanMitra is fine-tuned on 5000 examples covering government schemes for various citizen personas including farmers, students, pregnant women, senior citizens, weavers, fishermen, and more.

Training Details

Parameter	Value
Base Model	google/gemma-2b-it
Training Examples	5000
Training Steps	60
LoRA Rank	16
Learning Rate	2e-4
Hardware	NVIDIA A40

Covered Schemes

Farmers: YSR Rythu Bharosa, PM-KISAN, crop loan subsidy
Students: Post Matric Scholarship, NMMS, National Scholarship Portal
Women: PMMVY, Janani Suraksha Yojana, Stand-Up India
Business: Mudra Loan, Startup India, Stand-Up India
Senior Citizens: Old Age Pension, Atal Pension Yojana
Weavers: Chenetha Mithra Scheme
Fishermen: Matsyakara Bharosa

Example Output

Input: I am a farmer in Telangana, what schemes are available? Output: Namaste! As a farmer in Telangana, you can benefit from YSR Rythu Bharosa, PM-KISAN.