Instructions to use intuitionlabs/kit-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use intuitionlabs/kit-models 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 intuitionlabs/kit-models
# Run inference directly in the terminal:
llama cli -hf intuitionlabs/kit-models

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf intuitionlabs/kit-models
# Run inference directly in the terminal:
llama cli -hf intuitionlabs/kit-models

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 intuitionlabs/kit-models
# Run inference directly in the terminal:
./llama-cli -hf intuitionlabs/kit-models

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 intuitionlabs/kit-models
# Run inference directly in the terminal:
./build/bin/llama-cli -hf intuitionlabs/kit-models

Use Docker

docker model run hf.co/intuitionlabs/kit-models

LM Studio
Jan
Ollama
How to use intuitionlabs/kit-models with Ollama:
```
ollama run hf.co/intuitionlabs/kit-models
```

Unsloth Studio

How to use intuitionlabs/kit-models 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 intuitionlabs/kit-models 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 intuitionlabs/kit-models to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for intuitionlabs/kit-models to start chatting

How to use intuitionlabs/kit-models with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf intuitionlabs/kit-models

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": "intuitionlabs/kit-models"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use intuitionlabs/kit-models with Docker Model Runner:
```
docker model run hf.co/intuitionlabs/kit-models
```

Lemonade

How to use intuitionlabs/kit-models with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull intuitionlabs/kit-models

Run and chat with the model

lemonade run user.kit-models-{{QUANT_TAG}}

List all available models

lemonade list

Hermes Agent

How to use intuitionlabs/kit-models with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf intuitionlabs/kit-models

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 intuitionlabs/kit-models

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use intuitionlabs/kit-models with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf intuitionlabs/kit-models

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 "intuitionlabs/kit-models" \
  --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"

You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

kit-models

Files for terminals kits. Each one is listed with its size and checksum.

qwen3.5-0.8b-maintainer.gguf — 833591744 bytes — sha256 dbdab7577158498d1c3da970f69be51313e8a8a5e6f87f13bb6de6f15cadde9f
embed/Supabase/gte-small/config.json — 583 bytes — sha256 00273cdfb3e05c7304d180270bdef8adae45023e7bdfc396338bdd815943dc59
embed/Supabase/gte-small/tokenizer.json — 711661 bytes — sha256 da0e79933b9ed51798a3ae27893d3c5fa4a201126cef75586296df9b4d2c62a0
embed/Supabase/gte-small/tokenizer_config.json — 557 bytes — sha256 73687f47b47aedc8bfa8712f7e6616450058f1f1bb3d5e5861f8a92964d6467a
embed/Supabase/gte-small/special_tokens_map.json — 125 bytes — sha256 b6d346be366a7d1d48332dbc9fdf3bf8960b5d879522b7799ddba59e76237ee3
embed/Supabase/gte-small/vocab.txt — 231508 bytes — sha256 07eced375cec144d27c900241f3e339478dec958f92fddbc551f295c992038a3
embed/Supabase/gte-small/onnx/model_quantized.onnx — 34014426 bytes — sha256 18dec105109b6004369799ca4761fb8fb413c64172c02147bcfac186b5c5f6cb

Downloads last month: 2

GGUF

Model size

0.8B params

Architecture

qwen35

Hardware compatibility

We're not able to determine the quantization variants.

View all variants

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support