Instructions to use ukisai/Swift-1.5-4bit-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use ukisai/Swift-1.5-4bit-MLX with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("ukisai/Swift-1.5-4bit-MLX") prompt = "Write a story about Einstein" messages = [{"role": "user", "content": prompt}] prompt = tokenizer.apply_chat_template( messages, add_generation_prompt=True ) text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Pi
How to use ukisai/Swift-1.5-4bit-MLX with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "ukisai/Swift-1.5-4bit-MLX"
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "mlx-lm": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "ukisai/Swift-1.5-4bit-MLX" } ] } } }Run Pi
# Start Pi in your project directory: pi
- MLX LM
How to use ukisai/Swift-1.5-4bit-MLX with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "ukisai/Swift-1.5-4bit-MLX"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "ukisai/Swift-1.5-4bit-MLX" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ukisai/Swift-1.5-4bit-MLX", "messages": [ {"role": "user", "content": "Hello"} ] }' - Hermes Agent
How to use ukisai/Swift-1.5-4bit-MLX with Hermes Agent:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "ukisai/Swift-1.5-4bit-MLX"
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 ukisai/Swift-1.5-4bit-MLX
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use ukisai/Swift-1.5-4bit-MLX with OpenClaw:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "ukisai/Swift-1.5-4bit-MLX"
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 "ukisai/Swift-1.5-4bit-MLX" \ --custom-provider-id mlx-lm \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
|
Download QUICKSTART.md from ukisai/Swift-1.5-4bit-MLX: direct link, hf CLI and curl.
- Browser
- Download file 4.67 kB
-
https://huggingface.co/ukisai/Swift-1.5-4bit-MLX/resolve/main/QUICKSTART.md
- Command line
-
hf download hf://ukisai/Swift-1.5-4bit-MLX/QUICKSTART.md
-
curl -L -o QUICKSTART.md https://huggingface.co/ukisai/Swift-1.5-4bit-MLX/resolve/main/QUICKSTART.md
4.67 kB
| # Start Swift with the required MLX runtime | |
| `Received 501 parameters not in model: language_model.visual...` means the | |
| selected loader does not represent this checkpoint's vision parameter tree. | |
| For example, Homebrew's MLX-LM 0.31.3 runs from its own Python environment and | |
| does not acquire the Swift patches when you download this model. This error | |
| happens before generation; changing prompt-cache settings does not fix it. | |
| The helper below installs the same pinned architecture and cache patches used | |
| in [FULL_MAC_VALIDATION.md](FULL_MAC_VALIDATION.md). It creates a separate Python | |
| environment and an explicit launcher. Your cached weights can stay where they are. | |
| ## 1. Use Python 3.12 on Apple Silicon | |
| ```bash | |
| python3.12 --version | |
| ``` | |
| If that command is missing and you use Homebrew, install it with | |
| `brew install python@3.12`. Leave your existing Homebrew MLX-LM installation alone. | |
| Git is also required. The helper checks the Python version and native Apple | |
| Silicon platform before installing anything. | |
| ## 2. Install the runtime using your existing model directory | |
| Stop your old server. Download only the small setup helper: | |
| ```bash | |
| hf download ukisai/Swift-1.5-4bit-MLX swift_runtime.py --local-dir Swift-MLX-setup | |
| ``` | |
| Set `SWIFT_MODEL` to the complete model directory printed by your earlier | |
| `hf download` command. It can be an HF cache snapshot or a local download folder. | |
| This example uses the previously published snapshot in the default HF cache: | |
| ```bash | |
| SWIFT_MODEL="$HOME/.cache/huggingface/hub/models--ukisai--Swift-1.5-4bit-MLX/snapshots/730aab9b0395b26f7d9cf4b0dfa6a4c788aff6fd" | |
| python3.12 Swift-MLX-setup/swift_runtime.py setup --model "$SWIFT_MODEL" | |
| ``` | |
| If you downloaded with `--local-dir Swift-1.5-4bit-MLX`, set | |
| `SWIFT_MODEL="$PWD/Swift-1.5-4bit-MLX"` instead. Use your actual path if you customized | |
| the HF cache location or downloaded a different complete revision. | |
| The helper verifies fixed SHA-256 hashes for the patches, fetches official | |
| MLX-LM revision `c69d1288440a0dc4e6401fc417098b07598dccd5`, applies the required | |
| architecture and cache patches, and installs pinned packages into | |
| `~/.local/share/swift15-mlx/4bit/.venv`. For 5-bit it also applies the existing | |
| 5-bit support patch. It checks the selected architecture, server source and | |
| package versions before creating the launcher. | |
| Installation needs internet for source code and Python dependencies. It never | |
| downloads, converts, edits or re-quantizes the model weights. Setup checks local | |
| assets and indexed shard presence; use `check_download.py --hash` from | |
| [USAGE.md](USAGE.md) if you also need to verify every weight byte. | |
| ## 3. Start with this command every time | |
| ```bash | |
| "$HOME/.local/share/swift15-mlx/4bit/serve" | |
| ``` | |
| This starts the server at `http://127.0.0.1:8080` using the dedicated Python | |
| environment and your existing local model path. It enables offline Hub and | |
| Transformers operation. You do not need to activate a virtual environment. | |
| Keep using this launcher after closing and reopening Terminal; typing the bare | |
| `mlx_lm.server` command can select Homebrew again. | |
| To check the runtime without loading weights: | |
| ```bash | |
| "$HOME/.local/share/swift15-mlx/4bit/serve" --check-only | |
| ``` | |
| Additional server arguments work, for example `serve --port 8081` using the same | |
| full launcher path. The tested cache defaults remain enabled. A previous | |
| `--prompt-cache-size 0` override disables reuse if you add it again. | |
| If the runtime directory already exists, use its launcher. The installer refuses | |
| to overwrite an existing directory; choose a new path with `--runtime-dir` if | |
| you need a separate installation, then use the launcher path it prints. | |
| Stop on an installation failure. A successful `--check-only` verifies the runtime | |
| and local file presence, not full-model inference or available memory. | |
| ## Validation | |
| Both new 4-bit and 5-bit installations passed native Apple Silicon checks using | |
| existing tiny synthetic checkpoints containing text, vision and MTP entries. | |
| The actual launchers served two HTTP generation requests each while a conflicting | |
| `mlx_lm.server` and Python module were placed on the search path. Paths containing | |
| spaces worked. An unpatched loader was rejected before loading weights, and a | |
| repeat installation did not overwrite an existing runtime. | |
| [Recorded results](compatibility/launcher-validation.json) cover this installer | |
| and launch path. The earlier complete-model 48 GiB Mac tests remain in | |
| [FULL_MAC_VALIDATION.md](FULL_MAC_VALIDATION.md). No full-model rerun or hosted CI | |
| badge is claimed for this packaging update. Memory capacity, GUI integration, | |
| integrated image/video chat and speculative MTP limitations are unchanged. | |