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 / QUANTIZATION_MANIFEST.json

ukisai

initial release

e476358 13 days ago

Raw History Blame

2.95 kB

	{
	"checkpoint": {
	"exact_unquantized_tensors": 609,
	"quantized_modules": 590,
	"saved_tensors": 2379,
	"tensor_bytes": 19281804384,
	"weight_shard_names": [
	"model-00001-of-00004.safetensors",
	"model-00002-of-00004.safetensors",
	"model-00003-of-00004.safetensors",
	"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,
	1,
	248320
	],
	"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.",
	"token_ids": [
	9419,
	494,
	22929,
	13,
	248046
	],
	"tokens": 5,
	"tokens_per_second": 0.05894060179705689
	},
	"total_validation_seconds": 609.2779944080003,
	"vision": {
	"grid": [
	[
	1,
	16,
	16
	]
	],
	"path": "Vision encoder only; image/video insertion and multimodal text generation are not implemented",
	"shape": [
	64,
	5120
	],
	"status": "PASS"
	}
	}
	}