Instructions to use ramankrishna10/npc-reason with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use ramankrishna10/npc-reason 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 ramankrishna10/npc-reason:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf ramankrishna10/npc-reason:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf ramankrishna10/npc-reason:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf ramankrishna10/npc-reason: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 ramankrishna10/npc-reason:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf ramankrishna10/npc-reason: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 ramankrishna10/npc-reason:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf ramankrishna10/npc-reason:Q4_K_M

Use Docker

docker model run hf.co/ramankrishna10/npc-reason:Q4_K_M

LM Studio
Jan

vLLM

How to use ramankrishna10/npc-reason with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ramankrishna10/npc-reason"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ramankrishna10/npc-reason",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/ramankrishna10/npc-reason:Q4_K_M

Ollama
How to use ramankrishna10/npc-reason with Ollama:
```
ollama run hf.co/ramankrishna10/npc-reason:Q4_K_M
```

Unsloth Studio

How to use ramankrishna10/npc-reason 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 ramankrishna10/npc-reason 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 ramankrishna10/npc-reason to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for ramankrishna10/npc-reason to start chatting

Atomic Chat new
Docker Model Runner
How to use ramankrishna10/npc-reason with Docker Model Runner:
```
docker model run hf.co/ramankrishna10/npc-reason:Q4_K_M
```

Lemonade

How to use ramankrishna10/npc-reason with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull ramankrishna10/npc-reason:Q4_K_M

Run and chat with the model

lemonade run user.npc-reason-Q4_K_M

List all available models

lemonade list

npc-reason

File size: 304 Bytes

1ba301a

{
  "files": {
    "rl/rl_eval_result.json": "d443b4b2c3da8a16c906c687f9d76befbfe0063008b42df8251a602c65302997",
    "rl/rl_eval_raw.jsonl": "50ba30b5d305c3339c5bc710a446ff6cda8d2060fc3c529cf0a056ba0d4792d7",
    "rl/RL_DATA.lock": "aa26db37d0245e9ec0057959b20056123148ef6bfdbfb2f740ac20d326a54c4b"
  }
}