Instructions to use majentik/Swift-Qwen3.8-27B-MLX-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use majentik/Swift-Qwen3.8-27B-MLX-8bit with MLX:

# Make sure mlx-vlm is installed
# pip install --upgrade mlx-vlm

from mlx_vlm import load, generate
from mlx_vlm.prompt_utils import apply_chat_template
from mlx_vlm.utils import load_config

# Load the model
model, processor = load("majentik/Swift-Qwen3.8-27B-MLX-8bit")
config = load_config("majentik/Swift-Qwen3.8-27B-MLX-8bit")

# Prepare input
image = ["http://images.cocodataset.org/val2017/000000039769.jpg"]
prompt = "Describe this image."

# Apply chat template
formatted_prompt = apply_chat_template(
    processor, config, prompt, num_images=1
)

# Generate output
output = generate(model, processor, formatted_prompt, image)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps Settings
LM Studio

How to use majentik/Swift-Qwen3.8-27B-MLX-8bit with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "majentik/Swift-Qwen3.8-27B-MLX-8bit"

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": "majentik/Swift-Qwen3.8-27B-MLX-8bit"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent

How to use majentik/Swift-Qwen3.8-27B-MLX-8bit 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 "majentik/Swift-Qwen3.8-27B-MLX-8bit"

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 majentik/Swift-Qwen3.8-27B-MLX-8bit

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use majentik/Swift-Qwen3.8-27B-MLX-8bit with OpenClaw:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "majentik/Swift-Qwen3.8-27B-MLX-8bit"

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 "majentik/Swift-Qwen3.8-27B-MLX-8bit" \
  --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-Qwen3.8-27B-MLX-8bit

File size: 3,115 Bytes

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---
license: other
license_name: swift-open-license-1.0
license_link: https://huggingface.co/ukisai/Swift-Qwen3.8-27b/blob/main/LICENSE
base_model: ukisai/Swift-Qwen3.8-27b
library_name: mlx
tags:
- mlx
- qwen3_5
- quantized
pipeline_tag: image-text-to-text
---

# Swift-Qwen3.8-27B-MLX-8bit

MLX **8bit** (affine, group size 64) quantized
variant of [ukisai/Swift-Qwen3.8-27b](https://huggingface.co/ukisai/Swift-Qwen3.8-27b) (text tower quantized; vision tower and projector retained in BF16) for Apple
silicon via [mlx-lm](https://github.com/ml-explore/mlx-lm).

## Provenance

- Source: [ukisai/Swift-Qwen3.8-27b](https://huggingface.co/ukisai/Swift-Qwen3.8-27b) @ revision
  `048328f4059015b63f860a453bf94834af0db683` (Swift Open License v1.0 for the UkisAI contribution + Apache-2.0 for the Qwen base (upstream `LICENSE`, `LICENSE-APACHE-2.0`, `NOTICE`)).
- Quantized with `mlx_lm.convert` (mlx-lm 0.31.3): affine,
  8-bit, group size 64.

## Smoke gate

Before upload this pack passed a deterministic coherence gate: greedy
48-token chat generation loaded through
`mlx_lm.load`, judged for emptiness, repetition loops, multi-script
gibberish, and special-token debris. Verdict: `ok`.

## Usage

```bash
pip install mlx-lm
mlx_lm.generate --model majentik/Swift-Qwen3.8-27B-MLX-8bit --prompt "Hello"
```

## Evaluation

Coherence smoke gate only at publish time (see *Smoke gate* above). Per-tier gate records live in [majentik/garden-quant-bench](https://huggingface.co/datasets/majentik/garden-quant-bench); perplexity / benchmark rows are added here when measured.
## License

This pack is a quantized (Object-form) redistribution of `ukisai/Swift-Qwen3.8-27b` and inherits its dual
licensing unchanged:

- the Qwen/Qwen3.8-27B base weights remain under **Apache-2.0** (`LICENSE-APACHE-2.0`);
- the UkisAI Swift contribution (finetune) is under the **Swift Open License v1.0** (`LICENSE`),
  which is free for research and commercial use by organisations with up to US$1M gross annual
  revenue; larger organisations need a Swift Enterprise License from UkisAI.

`LICENSE`, `LICENSE-APACHE-2.0` and `NOTICE` are shipped verbatim in this repository as required by
Section 4 (Redistribution) of the Swift Open License. The only change from upstream is the MLX
quantization described above.

## Available tiers

| Repo | Quant |
| --- | --- |
| [majentik/Swift-Qwen3.8-27B-MLX-2bit](https://huggingface.co/majentik/Swift-Qwen3.8-27B-MLX-2bit) | 2bit |
| [majentik/Swift-Qwen3.8-27B-MLX-3bit](https://huggingface.co/majentik/Swift-Qwen3.8-27B-MLX-3bit) | 3bit |
| [majentik/Swift-Qwen3.8-27B-MLX-4bit](https://huggingface.co/majentik/Swift-Qwen3.8-27B-MLX-4bit) | 4bit |
| [majentik/Swift-Qwen3.8-27B-MLX-5bit](https://huggingface.co/majentik/Swift-Qwen3.8-27B-MLX-5bit) | 5bit |
| [majentik/Swift-Qwen3.8-27B-MLX-6bit](https://huggingface.co/majentik/Swift-Qwen3.8-27B-MLX-6bit) | 6bit |
| [majentik/Swift-Qwen3.8-27B-MLX-8bit](https://huggingface.co/majentik/Swift-Qwen3.8-27B-MLX-8bit) | 8bit |
| [majentik/Swift-Qwen3.8-27B-MLX-MXFP4](https://huggingface.co/majentik/Swift-Qwen3.8-27B-MLX-MXFP4) | MXFP4 |