Instructions to use LiquidAI/LFM2-350M-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 LiquidAI/LFM2-350M-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 LiquidAI/LFM2-350M-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf LiquidAI/LFM2-350M-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 LiquidAI/LFM2-350M-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf LiquidAI/LFM2-350M-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 LiquidAI/LFM2-350M-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf LiquidAI/LFM2-350M-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 LiquidAI/LFM2-350M-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf LiquidAI/LFM2-350M-GGUF:Q4_K_M

Use Docker

docker model run hf.co/LiquidAI/LFM2-350M-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use LiquidAI/LFM2-350M-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "LiquidAI/LFM2-350M-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": "LiquidAI/LFM2-350M-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/LiquidAI/LFM2-350M-GGUF:Q4_K_M

Ollama
How to use LiquidAI/LFM2-350M-GGUF with Ollama:
```
ollama run hf.co/LiquidAI/LFM2-350M-GGUF:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use LiquidAI/LFM2-350M-GGUF with Docker Model Runner:
```
docker model run hf.co/LiquidAI/LFM2-350M-GGUF:Q4_K_M
```

Lemonade

How to use LiquidAI/LFM2-350M-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull LiquidAI/LFM2-350M-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.LFM2-350M-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

LFM2-350M-GGUF / leap /Q8_0.json

ykhrustalev

Update 3 LEAP sdk manifests

a5fe1f6 verified 10 months ago

Raw

History Blame

302 Bytes

	{
	"inference_type": "llama.cpp/text-to-text",
	"schema_version": "1.0.0",
	"load_time_parameters": {
	"model": "../LFM2-350M-Q8_0.gguf"
	},
	"generation_time_parameters": {
	"sampling_parameters": {
	"temperature": 0.3,
	"min_p": 0.15,
	"repetition_penalty": 1.05
	}
	}
	}