Qwen3.6 35B HauhauCS Aggressive MLX
Collection
Public MLX text, vision, and OptiQ variants for Qwen3.6 35B HauhauCS Aggressive. • 8 items • Updated • 1
How to use from
PiConfigure 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-oQ6"
}
]
}
}
}Run Pi
# Start Pi in your project directory:
piQuick Links
Qwen3.6-35B-A3B Uncensored HauhauCS Aggressive oQ6
This is an oMLX oQ6 VLM quantization of
ericpandev/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-bf16.
Quantization
- Quantizer: oMLX oQ
- Level: oQ6
- Group size: 64
- Non-quantized/scales dtype: bfloat16
- Output size: about 27 GB
- Vision weights: preserved
- Native MTP: disabled
Notes
The source checkpoint is a VLM-style BF16 conversion. This repository preserves
vision_config and model.visual.* tensors. Native MTP was disabled because
the BF16 source did not include mtp.* tensors.
Local validation confirmed the vision tensors are present, but the bundled
MLX-VLM runtime in oMLX did not support the qwen3_5_moe_vision model type at
the time of conversion.
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Model size
8B params
Tensor type
BF16
·
U32 ·
Hardware compatibility
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6-bit
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-oQ6"