Instructions to use nabi-chan/Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-MLX-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use nabi-chan/Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-MLX-4bit 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/Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-MLX-4bit")

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

Unsloth Studio

How to use nabi-chan/Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-MLX-4bit with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for nabi-chan/Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-MLX-4bit to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for nabi-chan/Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-MLX-4bit to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for nabi-chan/Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-MLX-4bit to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="nabi-chan/Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-MLX-4bit",
    max_seq_length=2048,
)

How to use nabi-chan/Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-MLX-4bit 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/Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-MLX-4bit"

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/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/Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-MLX-4bit"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use nabi-chan/Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-MLX-4bit 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/Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-MLX-4bit"

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/Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-MLX-4bit

Run Hermes

hermes

MLX LM

How to use nabi-chan/Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-MLX-4bit 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/Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-MLX-4bit"

Run an OpenAI-compatible server

# Install MLX LM
uv tool install mlx-lm
# Start the server
mlx_lm.server --model "nabi-chan/Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-MLX-4bit"
# 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/Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-MLX-4bit",
     "messages": [
       {"role": "user", "content": "Hello"}
     ]
   }'

nabi-chan commited on Apr 27

Commit

e22a6af

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README.md +18 -18

README.md CHANGED Viewed

@@ -28,8 +28,6 @@ tags:
 datasets:
   - lordx64/reasoning-distill-opus-4-7-max-sft
 base_model:
-  - Qwen/Qwen3.6-35B-A3B
-  - lordx64/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled
   - huihui-ai/Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated
 model-index: []
 ---
@@ -71,12 +69,12 @@ python3 -m mlx_lm generate \
 ### Quantization Details
-| Property              | Value                                                                                          |
-| --------------------- | ---------------------------------------------------------------------------------------------- |
-| **Method**            | MLX affine quantization                                                                           |
-| **Bits / weight**     | 4                                                                             |
-| **Group size**        | 64                                                                       |
-| **Non-quant dtype**   | bfloat16                                                                  |
 | **Quantizer version** | `mlx` : 0.31.2 / `mlx-lm` : 0.31.3 / `mlx-vlm`: 0.4.4 |
 > [!WARNING]
@@ -90,7 +88,6 @@ Everything below is huihui-ai's original model card, preserved verbatim.
 # huihui-ai/Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated
 This is an uncensored version of [lordx64/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled](https://huggingface.co/lordx64/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled) 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.
@@ -98,31 +95,34 @@ This is a crude, proof-of-concept implementation to remove refusals from an LLM
 Please use the latest version of [ollama](https://github.com/ollama/ollama/releases)
-You can use [huihui_ai/qwen3.6-abliterated:35b-Claude-4.7](https://ollama.com/huihui_ai/qwen3.6-abliterated:35b-Claude-4.7) directly,
 ```
 ollama run huihui_ai/Qwen3.6-abliterated:35b-Claude-4.7
 ```
 ### 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)!

 datasets:
   - lordx64/reasoning-distill-opus-4-7-max-sft
 base_model:
   - huihui-ai/Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated
 model-index: []
 ---
 ### Quantization Details
+| Property              | Value                                                 |
+| --------------------- | ----------------------------------------------------- |
+| **Method**            | MLX affine quantization                               |
+| **Bits / weight**     | 4                                                     |
+| **Group size**        | 64                                                    |
+| **Non-quant dtype**   | bfloat16                                              |
 | **Quantizer version** | `mlx` : 0.31.2 / `mlx-lm` : 0.31.3 / `mlx-vlm`: 0.4.4 |
 > [!WARNING]
 # huihui-ai/Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated
 This is an uncensored version of [lordx64/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled](https://huggingface.co/lordx64/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled) 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.
 Please use the latest version of [ollama](https://github.com/ollama/ollama/releases)
+You can use [huihui_ai/qwen3.6-abliterated:35b-Claude-4.7](https://ollama.com/huihui_ai/qwen3.6-abliterated:35b-Claude-4.7) directly,
 ```
 ollama run huihui_ai/Qwen3.6-abliterated:35b-Claude-4.7
 ```
 ### 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)!