Instructions to use ukisai/Swift-1.5-5bit-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ukisai/Swift-1.5-5bit-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-1.5-5bit-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

How to use ukisai/Swift-1.5-5bit-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-1.5-5bit-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-1.5-5bit-MLX"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

MLX LM

How to use ukisai/Swift-1.5-5bit-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-1.5-5bit-MLX"

Run an OpenAI-compatible server

# Install MLX LM
uv tool install mlx-lm
# Start the server
mlx_lm.server --model "ukisai/Swift-1.5-5bit-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-1.5-5bit-MLX",
     "messages": [
       {"role": "user", "content": "Hello"}
     ]
   }'

Hermes Agent

How to use ukisai/Swift-1.5-5bit-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-1.5-5bit-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-1.5-5bit-MLX

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use ukisai/Swift-1.5-5bit-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-1.5-5bit-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-1.5-5bit-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"

Swift-1.5-5bit-MLX / compatibility /launcher-validation.json

ukisai

Add a verified Swift runtime installer and explicit server launcher (#2)

79bf5dd 10 days ago

Raw History Blame Contribute Delete

1.6 kB

	{
	"status": "PASS_LAUNCHER_INSTALL_AND_SYNTHETIC_HTTP",
	"date": "2026-09-26",
	"scope": "New isolated installation and real CLI launch on Apple Silicon with existing tiny synthetic 4-bit and 5-bit checkpoints. No full Swift weights loaded or requantized.",
	"results": [
	{
	"bits": 4,
	"clean_install": "PASS",
	"runtime_identity": "PASS",
	"path_shadowing_bypassed": "PASS",
	"pythonpath_shadowing_bypassed": "PASS",
	"paths_with_spaces": "PASS",
	"fixture_tensor_entries": 190,
	"vision_entries": 37,
	"mtp_entries": 31,
	"http_requests": [
	{
	"http_status": 200,
	"completion_tokens": 4
	},
	{
	"http_status": 200,
	"completion_tokens": 4
	}
	],
	"worker_alive": true
	},
	{
	"bits": 5,
	"clean_install": "PASS",
	"runtime_identity": "PASS",
	"path_shadowing_bypassed": "PASS",
	"pythonpath_shadowing_bypassed": "PASS",
	"paths_with_spaces": "PASS",
	"fixture_tensor_entries": 190,
	"vision_entries": 37,
	"mtp_entries": 31,
	"http_requests": [
	{
	"http_status": 200,
	"completion_tokens": 4
	},
	{
	"http_status": 200,
	"completion_tokens": 4
	}
	],
	"worker_alive": true
	}
	],
	"negative_checks": {
	"stock_loader_rejected_before_loading": "PASS",
	"existing_install_not_overwritten": "PASS"
	},
	"full_model_validation": "Previously recorded separately in FULL_MAC_VALIDATION.md; not rerun for this launcher."
	}