Instructions to use Phani1479432/rocky-gemma-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Phani1479432/rocky-gemma-2b with MLX:

# Make sure mlx-lm is installed
# pip install --upgrade mlx-lm

# Generate text with mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("Phani1479432/rocky-gemma-2b")

prompt = "Write a story about Einstein"
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
    messages, add_generation_prompt=True
)

text = generate(model, tokenizer, prompt=prompt, verbose=True)

llama-cpp-python

How to use Phani1479432/rocky-gemma-2b with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Phani1479432/rocky-gemma-2b",
	filename="rocky-f16.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use Phani1479432/rocky-gemma-2b 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 Phani1479432/rocky-gemma-2b:F16
# Run inference directly in the terminal:
llama cli -hf Phani1479432/rocky-gemma-2b:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Phani1479432/rocky-gemma-2b:F16
# Run inference directly in the terminal:
llama cli -hf Phani1479432/rocky-gemma-2b:F16

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 Phani1479432/rocky-gemma-2b:F16
# Run inference directly in the terminal:
./llama-cli -hf Phani1479432/rocky-gemma-2b:F16

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 Phani1479432/rocky-gemma-2b:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Phani1479432/rocky-gemma-2b:F16

Use Docker

docker model run hf.co/Phani1479432/rocky-gemma-2b:F16

LM Studio
Jan

vLLM

How to use Phani1479432/rocky-gemma-2b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Phani1479432/rocky-gemma-2b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Phani1479432/rocky-gemma-2b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Phani1479432/rocky-gemma-2b:F16

Ollama
How to use Phani1479432/rocky-gemma-2b with Ollama:
```
ollama run hf.co/Phani1479432/rocky-gemma-2b:F16
```

Unsloth Studio

How to use Phani1479432/rocky-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 Phani1479432/rocky-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 Phani1479432/rocky-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 Phani1479432/rocky-gemma-2b to start chatting

Atomic Chat new

MLX LM

How to use Phani1479432/rocky-gemma-2b with MLX LM:

Generate or start a chat session

# Install MLX LM
uv tool install mlx-lm
# Interactive chat REPL
mlx_lm.chat --model "Phani1479432/rocky-gemma-2b"

Run an OpenAI-compatible server

# Install MLX LM
uv tool install mlx-lm
# Start the server
mlx_lm.server --model "Phani1479432/rocky-gemma-2b"
# Calling the OpenAI-compatible server with curl
curl -X POST "http://localhost:8000/v1/chat/completions" \
   -H "Content-Type: application/json" \
   --data '{
     "model": "Phani1479432/rocky-gemma-2b",
     "messages": [
       {"role": "user", "content": "Hello"}
     ]
   }'

Docker Model Runner
How to use Phani1479432/rocky-gemma-2b with Docker Model Runner:
```
docker model run hf.co/Phani1479432/rocky-gemma-2b:F16
```

Lemonade

How to use Phani1479432/rocky-gemma-2b with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Phani1479432/rocky-gemma-2b:F16

Run and chat with the model

lemonade run user.rocky-gemma-2b-F16

List all available models

lemonade list

Rocky Gemma 2B (It)

Rocky Gemma 2B is a fine-tuned model based on google/gemma-2-2b-it, customized to speak and act like Rocky.

🦙 Run with Ollama

You can download and run this model instantly on your local Ollama instance with a single command:

curl -sSL https://huggingface.co/Phani1479432/rocky-gemma-2b/raw/main/Modelfile | ollama create rocky -f - && ollama run rocky

What this command does:

Downloads the Modelfile: Fetches the custom configuration specifying stop parameters and formatting templates directly from Hugging Face.
Creates the Model locally: Registers a new local model named rocky in Ollama.
Downloads the GGUF Weights: Automatically pulls the quantized GGUF weights (rocky-q4_k_m.gguf) directly from Hugging Face.
Starts the Chat: Launches an interactive shell session for you to chat with Rocky.

⚡ Run with MLX

If you are on Apple Silicon, you can use the MLX library to run the fused model weights:

pip install mlx-lm
python -m mlx_lm.generate --model Phani1479432/rocky-gemma-2b --prompt "Hey Rocky, what's your training routine like?"

Downloads last month: 725

Safetensors

Model size

3B params

Tensor type

BF16

MLX

Hardware compatibility

Quantized

Model tree for Phani1479432/rocky-gemma-2b

Base model

google/gemma-2-2b

Finetuned

google/gemma-2-2b-it

Quantized

(185)

this model

Quantizations

1 model