Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

ukisai
/
Swift-1.5-5bit-MLX

Text Generation
MLX
Safetensors
qwen3_5
quantized
5-bit
affine
qwen3_8
conversational
Model card Files Files and versions
xet
Community
3

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

  • Libraries
  • MLX

    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
  • Pi

    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
562 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
ukisai's picture
ukisai
Add a verified Swift runtime installer and explicit server launcher (#2)
79bf5dd 9 days ago
  • cache-tests
    Bound retained server cache while keeping prompt reuse enabled (#1) 9 days ago
  • LICENSE-MLX-LM-MIT
    1.07 kB
    initial release 10 days ago
  • conversion-result.json
    694 Bytes
    initial release 10 days ago
  • enable-5bit.patch
    2.23 kB
    initial release 10 days ago
  • environment-linux.json
    274 Bytes
    initial release 10 days ago
  • launcher-validation.json
    1.6 kB
    Add a verified Swift runtime installer and explicit server launcher (#2) 9 days ago
  • macos-quantized-matmul-diagnostic.json
    4.4 kB
    initial release 10 days ago
  • package-checks.json
    77.4 kB
    initial release 10 days ago
  • patch-manifest.json
    380 Bytes
    initial release 10 days ago
  • quant-validation-results.json
    3.78 kB
    initial release 10 days ago
  • source-structural-results.json
    2.5 kB
    initial release 10 days ago
  • source-verification.json
    381 kB
    initial release 10 days ago
  • swift15-mlx-lm.patch
    39 kB
    initial release 10 days ago
  • swift15-server-cache.patch
    9.36 kB
    Bound retained server cache while keeping prompt reuse enabled (#1) 9 days ago