Instructions to use prithivMLmods/SmolLM-1.7B-Instruct-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use prithivMLmods/SmolLM-1.7B-Instruct-GGUF 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 prithivMLmods/SmolLM-1.7B-Instruct-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf prithivMLmods/SmolLM-1.7B-Instruct-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf prithivMLmods/SmolLM-1.7B-Instruct-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf prithivMLmods/SmolLM-1.7B-Instruct-GGUF: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 prithivMLmods/SmolLM-1.7B-Instruct-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf prithivMLmods/SmolLM-1.7B-Instruct-GGUF: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 prithivMLmods/SmolLM-1.7B-Instruct-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf prithivMLmods/SmolLM-1.7B-Instruct-GGUF:Q4_K_M

Use Docker

docker model run hf.co/prithivMLmods/SmolLM-1.7B-Instruct-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use prithivMLmods/SmolLM-1.7B-Instruct-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "prithivMLmods/SmolLM-1.7B-Instruct-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "prithivMLmods/SmolLM-1.7B-Instruct-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/prithivMLmods/SmolLM-1.7B-Instruct-GGUF:Q4_K_M

Ollama
How to use prithivMLmods/SmolLM-1.7B-Instruct-GGUF with Ollama:
```
ollama run hf.co/prithivMLmods/SmolLM-1.7B-Instruct-GGUF:Q4_K_M
```

Unsloth Studio

How to use prithivMLmods/SmolLM-1.7B-Instruct-GGUF 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 prithivMLmods/SmolLM-1.7B-Instruct-GGUF 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 prithivMLmods/SmolLM-1.7B-Instruct-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for prithivMLmods/SmolLM-1.7B-Instruct-GGUF to start chatting

Docker Model Runner
How to use prithivMLmods/SmolLM-1.7B-Instruct-GGUF with Docker Model Runner:
```
docker model run hf.co/prithivMLmods/SmolLM-1.7B-Instruct-GGUF:Q4_K_M
```

Lemonade

How to use prithivMLmods/SmolLM-1.7B-Instruct-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull prithivMLmods/SmolLM-1.7B-Instruct-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.SmolLM-1.7B-Instruct-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

prithivMLmods commited on Nov 8, 2024

Commit

43ad957

verified ·

1 Parent(s): 7800046

Update README.md

Browse files

Files changed (1) hide show

README.md +2 -1

README.md CHANGED Viewed

@@ -8,6 +8,7 @@ tags:
 - llama
 - SmolLM
 - Instruct
 ---
 ## SmolLM-1.7B-Instruct-GGUF
@@ -109,4 +110,4 @@ plays a pivotal role in pushing the boundaries of human exploration and settleme
 With these simple steps, you can easily download, install, and run your own models using Ollama. Whether you're exploring the capabilities of Llama or building your own custom models, Ollama makes it accessible and efficient.
-- This README provides clear instructions and structured information to help users navigate the process of using Ollama effectively. Adjust any sections as needed based on your specific requirements or additional details you may want to include.

 - llama
 - SmolLM
 - Instruct
+pipeline_tag: text-generation
 ---
 ## SmolLM-1.7B-Instruct-GGUF
 With these simple steps, you can easily download, install, and run your own models using Ollama. Whether you're exploring the capabilities of Llama or building your own custom models, Ollama makes it accessible and efficient.
+- This README provides clear instructions and structured information to help users navigate the process of using Ollama effectively. Adjust any sections as needed based on your specific requirements or additional details you may want to include.