Instructions to use tensorblock/SmolLM-360M-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use tensorblock/SmolLM-360M-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("tensorblock/SmolLM-360M-GGUF", dtype="auto", device_map="auto")

llama-cpp-python

How to use tensorblock/SmolLM-360M-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="tensorblock/SmolLM-360M-GGUF",
	filename="SmolLM-360M-Q2_K.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use tensorblock/SmolLM-360M-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 tensorblock/SmolLM-360M-GGUF:Q2_K
# Run inference directly in the terminal:
llama cli -hf tensorblock/SmolLM-360M-GGUF:Q2_K

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf tensorblock/SmolLM-360M-GGUF:Q2_K
# Run inference directly in the terminal:
llama cli -hf tensorblock/SmolLM-360M-GGUF:Q2_K

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 tensorblock/SmolLM-360M-GGUF:Q2_K
# Run inference directly in the terminal:
./llama-cli -hf tensorblock/SmolLM-360M-GGUF:Q2_K

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 tensorblock/SmolLM-360M-GGUF:Q2_K
# Run inference directly in the terminal:
./build/bin/llama-cli -hf tensorblock/SmolLM-360M-GGUF:Q2_K

Use Docker

docker model run hf.co/tensorblock/SmolLM-360M-GGUF:Q2_K

LM Studio
Jan
Ollama
How to use tensorblock/SmolLM-360M-GGUF with Ollama:
```
ollama run hf.co/tensorblock/SmolLM-360M-GGUF:Q2_K
```

Unsloth Studio

How to use tensorblock/SmolLM-360M-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 tensorblock/SmolLM-360M-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 tensorblock/SmolLM-360M-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for tensorblock/SmolLM-360M-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use tensorblock/SmolLM-360M-GGUF with Docker Model Runner:
```
docker model run hf.co/tensorblock/SmolLM-360M-GGUF:Q2_K
```

Lemonade

How to use tensorblock/SmolLM-360M-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull tensorblock/SmolLM-360M-GGUF:Q2_K

Run and chat with the model

lemonade run user.SmolLM-360M-GGUF-Q2_K

List all available models

lemonade list

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:e3aa342b382426a9f5555045c23aa688c89fa7b744bdfff160dc5d2273384180
-size 246321888

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:350f3d8c60829d051e678faf21594e66d1803c82cc0cc955f6e3b88d89f66c79
-size 218673888

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:9e02788d51152886048c581a110185272f9403e334667b7e03a0263e1d7f60e5
-size 229118688

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:aa35354360a62bfaf4fcf439e570832ff7c1f077c52b8f44d64a25127a910b3e
-size 270590688

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:b516f1994ebce0ca3c71c7e9f08ab5424ab39c9690bde8dcaba71dafc6f9a39e
-size 259915488

tensorblock
/

SmolLM-360M-GGUF

Keep Q2_K/Q3_K_M gguf only