Instructions to use nabi-chan/Huihui-Qwen3.6-27B-abliterated-MLX-5bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use nabi-chan/Huihui-Qwen3.6-27B-abliterated-MLX-5bit 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("nabi-chan/Huihui-Qwen3.6-27B-abliterated-MLX-5bit")

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 nabi-chan/Huihui-Qwen3.6-27B-abliterated-MLX-5bit with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "nabi-chan/Huihui-Qwen3.6-27B-abliterated-MLX-5bit"

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": "nabi-chan/Huihui-Qwen3.6-27B-abliterated-MLX-5bit"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

MLX LM

How to use nabi-chan/Huihui-Qwen3.6-27B-abliterated-MLX-5bit with MLX LM:

Generate or start a chat session

# Install MLX LM
uv tool install mlx-lm
# Interactive chat REPL
mlx_lm.chat --model "nabi-chan/Huihui-Qwen3.6-27B-abliterated-MLX-5bit"

Run an OpenAI-compatible server

# Install MLX LM
uv tool install mlx-lm
# Start the server
mlx_lm.server --model "nabi-chan/Huihui-Qwen3.6-27B-abliterated-MLX-5bit"
# Calling the OpenAI-compatible server with curl
curl -X POST "http://localhost:8000/v1/chat/completions" \
   -H "Content-Type: application/json" \
   --data '{
     "model": "nabi-chan/Huihui-Qwen3.6-27B-abliterated-MLX-5bit",
     "messages": [
       {"role": "user", "content": "Hello"}
     ]
   }'

Hermes Agent

How to use nabi-chan/Huihui-Qwen3.6-27B-abliterated-MLX-5bit 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 "nabi-chan/Huihui-Qwen3.6-27B-abliterated-MLX-5bit"

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 nabi-chan/Huihui-Qwen3.6-27B-abliterated-MLX-5bit

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use nabi-chan/Huihui-Qwen3.6-27B-abliterated-MLX-5bit with OpenClaw:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "nabi-chan/Huihui-Qwen3.6-27B-abliterated-MLX-5bit"

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 "nabi-chan/Huihui-Qwen3.6-27B-abliterated-MLX-5bit" \
  --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"

Huihui-Qwen3.6-27B-abliterated-MLX-5bit / README.md

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	---
	library_name: mlx
	license: "apache-2.0"
	license_link: https://huggingface.co/Qwen/Qwen3.6-27B/blob/main/LICENSE
	pipeline_tag: text-generation
	language:
	- en
	- ko
	- zh
	- ja
	tags:
	- mlx
	- "mlx-5bit"
	- quantized
	- safetensors
	- apple-silicon
	- Qwen
	- Qwen3.6
	- Qwen3_5
	- abliterated
	- uncensored
	base_model:
	- huihui-ai/Huihui-Qwen3.6-27B-abliterated
	---

	# 🌌 `huihui-ai/Huihui-Qwen3.6-27B-abliterated` converted to MLX 5-bit

	## About This Quantization

	Apple Sllicon / MLX 5-bit

	- Source Model (BF16) : [huihui-ai/Huihui-Qwen3.6-27B-abliterated](https://huggingface.co/huihui-ai/Huihui-Qwen3.6-27B-abliterated)
	- Quantized By: [@nabi-chan](https://huggingface.co/nabi-chan)

	### Quickstart

	#### Install

	```bash
	pip install -U "mlx-lm>=0.31.2"
	```

	#### Python

	```python
	from mlx_lm import load, generate

	model, tokenizer = load("nabi-chan/.Huihui-Qwen3.6-27B-abliterated-MLX-5bit.tmp-1478")
	print(generate(model, tokenizer, prompt="Explain quantum entanglement simply.", max_tokens=128))
	```

	#### CLI

	```bash
	python3 -m mlx_lm generate \
	--model nabi-chan/.Huihui-Qwen3.6-27B-abliterated-MLX-5bit.tmp-1478 \
	--prompt "Write a haiku about Apple Silicon." \
	--max-tokens 128
	```

	### Quantization Details

	\| Property \| Value \|
	\| --------------------- \| ---------------------------------------------------------------------------------------------- \|
	\| Method \| MLX affine quantization \|
	\| Bits / weight \| 5 \|
	\| Group size \| 64 \|
	\| Non-quant dtype \| bfloat16 \|
	\| Quantizer version \| `mlx` : 0.31.2 / `mlx-lm` : 0.31.3 / `mlx-vlm`: 0.4.4 \|

	> [!WARNING]
	> Protected tensors keep their original dtype. In VLM models, vision tensors and some guarded layers may remain unquantized.

	---

	Everything below is huihui-ai's original model card, preserved verbatim.

	---

	# huihui-ai/Huihui-Qwen3.6-27B-abliterated


	This is an uncensored version of [Qwen/Qwen3.6-27B](https://huggingface.co/Qwen/Qwen3.6-27B) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers) to know more about it).
	This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens.


	## ollama

	Please use the latest version of [ollama](https://github.com/ollama/ollama/releases/tag)

	You can use [huihui_ai/qwen3.6-abliterated:27b](https://ollama.com/huihui_ai/qwen3.6-abliterated:27b) directly,
	```
	ollama run huihui_ai/qwen3.6-abliterated:27b
	```

	### Usage Warnings


	- Risk of Sensitive or Controversial Outputs: This model’s safety filtering has been significantly reduced, potentially generating sensitive, controversial, or inappropriate content. Users should exercise caution and rigorously review generated outputs.

	- Not Suitable for All Audiences: Due to limited content filtering, the model’s outputs may be inappropriate for public settings, underage users, or applications requiring high security.

	- Legal and Ethical Responsibilities: Users must ensure their usage complies with local laws and ethical standards. Generated content may carry legal or ethical risks, and users are solely responsible for any consequences.

	- Research and Experimental Use: It is recommended to use this model for research, testing, or controlled environments, avoiding direct use in production or public-facing commercial applications.

	- Monitoring and Review Recommendations: Users are strongly advised to monitor model outputs in real-time and conduct manual reviews when necessary to prevent the dissemination of inappropriate content.

	- No Default Safety Guarantees: Unlike standard models, this model has not undergone rigorous safety optimization. huihui.ai bears no responsibility for any consequences arising from its use.


	### Donation
	##### Your donation helps us continue our further development and improvement, a cup of coffee can do it.
	- bitcoin:
	```
	bc1qqnkhuchxw0zqjh2ku3lu4hq45hc6gy84uk70ge
	```
	- Support our work on [Ko-fi](https://ko-fi.com/huihuiai)!