Instructions to use Finn-Org/FinnAI-Foundation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Finn-Org/FinnAI-Foundation 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 Finn-Org/FinnAI-Foundation:Q4_0
# Run inference directly in the terminal:
llama cli -hf Finn-Org/FinnAI-Foundation:Q4_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Finn-Org/FinnAI-Foundation:Q4_0
# Run inference directly in the terminal:
llama cli -hf Finn-Org/FinnAI-Foundation:Q4_0

Build from source code

git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama serve -hf Finn-Org/FinnAI-Foundation:Q4_0
# Run inference directly in the terminal:
./build/bin/llama cli -hf Finn-Org/FinnAI-Foundation:Q4_0

Use Docker

docker model run hf.co/Finn-Org/FinnAI-Foundation:Q4_0

Llama new
LM Studio
Jan

vLLM

How to use Finn-Org/FinnAI-Foundation with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Finn-Org/FinnAI-Foundation"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Finn-Org/FinnAI-Foundation",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/Finn-Org/FinnAI-Foundation:Q4_0

Ollama
How to use Finn-Org/FinnAI-Foundation with Ollama:
```
ollama run hf.co/Finn-Org/FinnAI-Foundation:Q4_0
```
Unsloth Desktop

How to use Finn-Org/FinnAI-Foundation with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Finn-Org/FinnAI-Foundation:Q4_0

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "Finn-Org/FinnAI-Foundation:Q4_0"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use Finn-Org/FinnAI-Foundation with Docker Model Runner:
```
docker model run hf.co/Finn-Org/FinnAI-Foundation:Q4_0
```

Lemonade

How to use Finn-Org/FinnAI-Foundation with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Finn-Org/FinnAI-Foundation:Q4_0

Run and chat with the model

lemonade run user.FinnAI-Foundation-Q4_0

List all available models

lemonade list

Hermes Agent

How to use Finn-Org/FinnAI-Foundation with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Finn-Org/FinnAI-Foundation:Q4_0

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default Finn-Org/FinnAI-Foundation:Q4_0

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use Finn-Org/FinnAI-Foundation with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Finn-Org/FinnAI-Foundation:Q4_0

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "Finn-Org/FinnAI-Foundation:Q4_0" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

FinnAI-Foundation

File size: 1,224 Bytes

4fbae14

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  "architectures": [
    "Lfm2ForCausalLM"
  ],
  "block_auto_adjust_ff_dim": true,
  "block_dim": 2048,
  "block_ff_dim": 12288,
  "block_ffn_dim_multiplier": 1.0,
  "block_mlp_init_scale": 1.0,
  "block_multiple_of": 256,
  "block_norm_eps": 1e-05,
  "block_out_init_scale": 1.0,
  "block_use_swiglu": true,
  "block_use_xavier_init": true,
  "bos_token_id": 1,
  "conv_L_cache": 3,
  "conv_bias": false,
  "conv_dim": 2048,
  "conv_use_xavier_init": true,
  "dtype": "bfloat16",
  "eos_token_id": 7,
  "hidden_size": 2048,
  "initializer_range": 0.02,
  "intermediate_size": 12288,
  "layer_types": [
    "conv",
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    "full_attention",
    "conv",
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    "conv",
    "conv",
    "full_attention",
    "conv",
    "full_attention",
    "conv",
    "full_attention",
    "conv",
    "full_attention",
    "conv"
  ],
  "max_position_embeddings": 128000,
  "model_type": "lfm2",
  "norm_eps": 1e-05,
  "num_attention_heads": 32,
  "num_heads": 32,
  "num_hidden_layers": 16,
  "num_key_value_heads": 8,
  "pad_token_id": 0,
  "rope_theta": 1000000.0,
  "tie_embedding": true,
  "transformers_version": "4.57.2",
  "use_cache": true,
  "use_pos_enc": true,
  "vocab_size": 65536
}