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"
File size: 2,946 Bytes
e476358 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 | {
"checkpoint": {
"exact_unquantized_tensors": 609,
"quantized_modules": 590,
"saved_tensors": 2379,
"tensor_bytes": 19281804384,
"weight_shard_names": [
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"model-00004-of-00004.safetensors"
],
"weight_shards": 4
},
"limitations": {
"broad_accuracy_benchmark": "NOT_RUN",
"full_apple_silicon_generation": "NOT_RUN",
"integrated_mtp_speculative_generation": "NOT_IMPLEMENTED_BY_PATCH",
"integrated_multimodal_generation": "NOT_IMPLEMENTED_BY_PATCH",
"long_context_benchmark": "NOT_RUN"
},
"mlx_lm_revision": "c69d1288440a0dc4e6401fc417098b07598dccd5",
"patches": [
{
"path": "compatibility/swift15-mlx-lm.patch",
"sha256": "f6f1d0bdafa45863bfbf93dac0398c481c993ea04fdf38b9bae98c643f89eaec"
},
{
"path": "compatibility/enable-5bit.patch",
"sha256": "b985961eac3035e05ca4c9f3a8b283c26e6dd69bab4d113997fc04fe2a4f99cc"
}
],
"quantization": {
"bits": 5,
"group_size": 64,
"method": "official MLX-LM affine round-to-nearest conversion",
"mode": "affine"
},
"source_manifest_sha256": "0a00065b88ab003281853a7fb9bd5ce0086bc3781b36136d8c39da19933923ae",
"source_repository": "ukisai/Swift-1.5-Qwen3.8-27b",
"source_revision": "5ad04445d2686f525e9fbe5c077e6fa0c7df4200",
"source_revision_url": "https://huggingface.co/ukisai/Swift-1.5-Qwen3.8-27b/tree/5ad04445d2686f525e9fbe5c077e6fa0c7df4200",
"source_tensors": 1199,
"source_weight_bytes": 55563006776,
"source_weight_shards": 18,
"status": "VALIDATED",
"validation": {
"all_floating_tensors_finite": true,
"all_source_tensors_accounted_for": 1199,
"load_memory_bytes": 19281804392,
"mtp": {
"path": "Explicit MTP step with real text hidden states and shared LM head; speculative generation is not integrated",
"shape": [
1,
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],
"status": "PASS"
},
"process_peak_rss_bytes": 24964259840,
"status": "PASS",
"text_generation": {
"elapsed_seconds": 495.4394222159999,
"finish_reason": "stop",
"prompt": "<|im_start|>user\nReply with exactly: Hello from Swift.<|im_end|>\n<|im_start|>assistant\n<think>\n\n</think>\n\n",
"prompt_tokens_per_second": 0.04886516458777248,
"text": "Hello from Swift.",
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"tokens": 5,
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"total_validation_seconds": 609.2779944080003,
"vision": {
"grid": [
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1,
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]
],
"path": "Vision encoder only; image/video insertion and multimodal text generation are not implemented",
"shape": [
64,
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],
"status": "PASS"
}
}
}
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