Instructions to use ToTo-40417/EXLLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use ToTo-40417/EXLLM 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 ToTo-40417/EXLLM:F16
# Run inference directly in the terminal:
llama cli -hf ToTo-40417/EXLLM:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf ToTo-40417/EXLLM:F16
# Run inference directly in the terminal:
llama cli -hf ToTo-40417/EXLLM: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 ToTo-40417/EXLLM:F16
# Run inference directly in the terminal:
./llama-cli -hf ToTo-40417/EXLLM: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 ToTo-40417/EXLLM:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf ToTo-40417/EXLLM:F16

Use Docker

docker model run hf.co/ToTo-40417/EXLLM:F16

LM Studio
Jan

vLLM

How to use ToTo-40417/EXLLM with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ToTo-40417/EXLLM"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ToTo-40417/EXLLM",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/ToTo-40417/EXLLM:F16

Ollama
How to use ToTo-40417/EXLLM with Ollama:
```
ollama run hf.co/ToTo-40417/EXLLM:F16
```
Unsloth Desktop
Docker Model Runner
How to use ToTo-40417/EXLLM with Docker Model Runner:
```
docker model run hf.co/ToTo-40417/EXLLM:F16
```

Lemonade

How to use ToTo-40417/EXLLM with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull ToTo-40417/EXLLM:F16

Run and chat with the model

lemonade run user.EXLLM-F16

List all available models

lemonade list

Atomic Chat

EXLLM

File size: 132 Bytes

80300e5

{
  "vocab_size": 868,
  "max_seq_len": 128,
  "d_model": 288,
  "n_layers": 6,
  "n_heads": 9,
  "d_ff": 896,
  "rms_eps": 1e-05
}