Instructions to use Nexuss0781/SmolLM2-135M-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 Nexuss0781/SmolLM2-135M-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 Nexuss0781/SmolLM2-135M-Instruct-GGUF:Q6_K
# Run inference directly in the terminal:
llama cli -hf Nexuss0781/SmolLM2-135M-Instruct-GGUF:Q6_K

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Nexuss0781/SmolLM2-135M-Instruct-GGUF:Q6_K
# Run inference directly in the terminal:
llama cli -hf Nexuss0781/SmolLM2-135M-Instruct-GGUF:Q6_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 Nexuss0781/SmolLM2-135M-Instruct-GGUF:Q6_K
# Run inference directly in the terminal:
./llama-cli -hf Nexuss0781/SmolLM2-135M-Instruct-GGUF:Q6_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 Nexuss0781/SmolLM2-135M-Instruct-GGUF:Q6_K
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Nexuss0781/SmolLM2-135M-Instruct-GGUF:Q6_K

Use Docker

docker model run hf.co/Nexuss0781/SmolLM2-135M-Instruct-GGUF:Q6_K

LM Studio
Jan

vLLM

How to use Nexuss0781/SmolLM2-135M-Instruct-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Nexuss0781/SmolLM2-135M-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": "Nexuss0781/SmolLM2-135M-Instruct-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Nexuss0781/SmolLM2-135M-Instruct-GGUF:Q6_K

Ollama
How to use Nexuss0781/SmolLM2-135M-Instruct-GGUF with Ollama:
```
ollama run hf.co/Nexuss0781/SmolLM2-135M-Instruct-GGUF:Q6_K
```
Unsloth Desktop
Docker Model Runner
How to use Nexuss0781/SmolLM2-135M-Instruct-GGUF with Docker Model Runner:
```
docker model run hf.co/Nexuss0781/SmolLM2-135M-Instruct-GGUF:Q6_K
```

Lemonade

How to use Nexuss0781/SmolLM2-135M-Instruct-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Nexuss0781/SmolLM2-135M-Instruct-GGUF:Q6_K

Run and chat with the model

lemonade run user.SmolLM2-135M-Instruct-GGUF-Q6_K

List all available models

lemonade list

Atomic Chat

SmolLM2-135M-Instruct-GGUF / conversion-metadata.json

Nexuss0781

Clarify HuggingFaceTB source ownership and upstream licensing

110b449 verified about 2 months ago

Raw History Blame Contribute Delete

996 Bytes

	{
	"base_model": "HuggingFaceTB/SmolLM2-135M-Instruct",
	"original_model_publisher": "HuggingFaceTB",
	"conversion_distributor": "Nexuss0781 (GGUF file-format conversion only)",
	"ownership_notice": "No authorship or ownership of the underlying SmolLM2 model is claimed by the conversion distributor.",
	"base_model_url": "https://huggingface.co/HuggingFaceTB/SmolLM2-135M-Instruct",
	"license": "Apache-2.0 (upstream source-model license; no replacement license asserted)",
	"converter": "llama.cpp convert_hf_to_gguf.py",
	"quantizer": "llama.cpp llama-quantize",
	"artifacts": [
	{
	"file": "SmolLM2-135M-Instruct-f16.gguf",
	"quantization": "F16",
	"bytes": 270885952,
	"sha256": "fd659c45cacd2213d6b8ffe002c261c193eed4cc0d2b1b2af836fba7b030177c"
	},
	{
	"file": "SmolLM2-135M-Instruct-Q6_K.gguf",
	"quantization": "Q6_K",
	"bytes": 138382912,
	"sha256": "e12aa5cace7cca9c6bd27a8eddb511d5140628ca5fe3f3f3d20fbbf5c458aeee"
	}
	]
	}