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 /cache-tests /validation.json

ukisai

Bound retained server cache while keeping prompt reuse enabled (#1)

8aff72b 12 days ago

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1.98 kB

	{
	"status": "PASS_LOCAL_REGRESSION_CHECKS",
	"base_commit": "c69d1288440a0dc4e6401fc417098b07598dccd5",
	"mlx_version": "0.32.2",
	"mlx_lm_version": "0.32.0",
	"server_sha256_before": "57392576de114af80ede723976b9dd156dc234f856b9943b8b44b8b78bc27f79",
	"server_sha256_after": "791f8c1eb3431c4d24b4f9084f67b665c38e3d547ee4a307e52c5b2b6f12aba0",
	"patch_sha256": "a7fbc0f0524ee7864d9f41a98a2e35acf0e63f53e369ee5b9a87ca12926a9eab",
	"unit_and_upstream_server_tests": {
	"passed": 44,
	"failed": 0
	},
	"offline_http_tests": {
	"passed_requests": 72,
	"failed_requests": 0
	},
	"scope": "Local Apple Silicon tests using small fixtures. Full Swift long-context capacity is not established.",
	"hosted_ci": "NOT_RUN; these are recorded local checks, not a hosted CI status",
	"weights_changed": false,
	"quantization_changed": false,
	"fresh_patch_replay": {
	"base_commit": "c69d1288440a0dc4e6401fc417098b07598dccd5",
	"status": "PASS",
	"releases": [
	{
	"bits": 4,
	"clean_patch_apply": "PASS",
	"rollback_check": "PASS",
	"runtime_identity": "PASS",
	"model_implementation_unchanged": "PASS",
	"unit_and_upstream_tests_passed": 44,
	"offline_http_requests_passed": 36,
	"black": "25.1.0 PASS",
	"isort": "6.0.0 PASS",
	"ruff": "0.16.6 PASS",
	"patch_sha256": "a7fbc0f0524ee7864d9f41a98a2e35acf0e63f53e369ee5b9a87ca12926a9eab",
	"status": "PASS"
	},
	{
	"bits": 5,
	"clean_patch_apply": "PASS",
	"rollback_check": "PASS",
	"runtime_identity": "PASS",
	"model_implementation_unchanged": "PASS",
	"unit_and_upstream_tests_passed": 44,
	"offline_http_requests_passed": 36,
	"black": "25.1.0 PASS",
	"isort": "6.0.0 PASS",
	"ruff": "0.16.6 PASS",
	"patch_sha256": "a7fbc0f0524ee7864d9f41a98a2e35acf0e63f53e369ee5b9a87ca12926a9eab",
	"status": "PASS"
	}
	]
	}
	}