Instructions to use dawncr0w/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-OptiQ-4bit-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use dawncr0w/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-OptiQ-4bit-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("dawncr0w/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-OptiQ-4bit-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 dawncr0w/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-OptiQ-4bit-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 "dawncr0w/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-OptiQ-4bit-MLX"

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": "dawncr0w/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-OptiQ-4bit-MLX"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use dawncr0w/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-OptiQ-4bit-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 "dawncr0w/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-OptiQ-4bit-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 dawncr0w/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-OptiQ-4bit-MLX

Run Hermes

hermes

MLX LM

How to use dawncr0w/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-OptiQ-4bit-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 "dawncr0w/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-OptiQ-4bit-MLX"

Run an OpenAI-compatible server

# Install MLX LM
uv tool install mlx-lm
# Start the server
mlx_lm.server --model "dawncr0w/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-OptiQ-4bit-MLX"
# Calling the OpenAI-compatible server with curl
curl -X POST "http://localhost:8000/v1/chat/completions" \
   -H "Content-Type: application/json" \
   --data '{
     "model": "dawncr0w/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-OptiQ-4bit-MLX",
     "messages": [
       {"role": "user", "content": "Hello"}
     ]
   }'

Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive OptiQ 4bit

Source: ericpandev/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-bf16 Original: HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive

Quantization

Field	Value
Method	OptiQ mixed-precision MLX
Target BPW	4
Achieved BPW	4.07
Candidate bits	4, 8
Group size	64
Calibration	optiq (24 samples)
Model size	18.17 GiB
Layer allocation	14 high-bit / 377 low-bit
Layer policy entries	391

Notes

This is a text-only MLX export; vision components are omitted.
Native MTP is disabled for this build.
The original model is multimodal; this repository contains only the language model weights.
Built from the bf16 source snapshot listed above.

Usage

huggingface-cli download dawncr0w/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-OptiQ-4bit-MLX --local-dir Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-OptiQ-4bit-MLX
python -m mlx_lm.generate --model Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-OptiQ-4bit-MLX --prompt "Write a short greeting."

Downloads last month: 654

Safetensors

Model size

35B params

Tensor type

BF16

U32

MLX

Hardware compatibility

4-bit

Model tree for dawncr0w/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-OptiQ-4bit-MLX

Base model

ericpandev/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-bf16

Quantized

(8)

this model

Collection including dawncr0w/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-OptiQ-4bit-MLX

Qwen3.6 35B HauhauCS Aggressive MLX

Collection

Public MLX text, vision, and OptiQ variants for Qwen3.6 35B HauhauCS Aggressive. • 8 items • Updated about 3 hours ago