Instructions to use drowzeys/keys-Mac-oMLX-0.6.3.2RC-Dual-ANE-GLM-5.3-Flash-Abliterated-oQ4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use drowzeys/keys-Mac-oMLX-0.6.3.2RC-Dual-ANE-GLM-5.3-Flash-Abliterated-oQ4 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("drowzeys/keys-Mac-oMLX-0.6.3.2RC-Dual-ANE-GLM-5.3-Flash-Abliterated-oQ4")
config = load_config("drowzeys/keys-Mac-oMLX-0.6.3.2RC-Dual-ANE-GLM-5.3-Flash-Abliterated-oQ4")

# 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 drowzeys/keys-Mac-oMLX-0.6.3.2RC-Dual-ANE-GLM-5.3-Flash-Abliterated-oQ4 with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "drowzeys/keys-Mac-oMLX-0.6.3.2RC-Dual-ANE-GLM-5.3-Flash-Abliterated-oQ4"

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": "drowzeys/keys-Mac-oMLX-0.6.3.2RC-Dual-ANE-GLM-5.3-Flash-Abliterated-oQ4"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent

How to use drowzeys/keys-Mac-oMLX-0.6.3.2RC-Dual-ANE-GLM-5.3-Flash-Abliterated-oQ4 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 "drowzeys/keys-Mac-oMLX-0.6.3.2RC-Dual-ANE-GLM-5.3-Flash-Abliterated-oQ4"

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 drowzeys/keys-Mac-oMLX-0.6.3.2RC-Dual-ANE-GLM-5.3-Flash-Abliterated-oQ4

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use drowzeys/keys-Mac-oMLX-0.6.3.2RC-Dual-ANE-GLM-5.3-Flash-Abliterated-oQ4 with OpenClaw:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "drowzeys/keys-Mac-oMLX-0.6.3.2RC-Dual-ANE-GLM-5.3-Flash-Abliterated-oQ4"

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 "drowzeys/keys-Mac-oMLX-0.6.3.2RC-Dual-ANE-GLM-5.3-Flash-Abliterated-oQ4" \
  --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"

Acknowledge the Responsible Use Agreement to access this repository

Access is granted automatically after you agree to the terms below and submit the form.

Responsible Use Agreement

This model has had safety refusals removed. That makes it useful for red-teaming, security research, evaluation, and unfiltered assistant tasks — and also removes guardrails a user must therefore supply themselves.

Prohibited uses (you must agree before access is granted):

Anything involving the sexual exploitation or endangerment of minors.
You must be of age 18 years or older to use and download this model.
You agree any information generated that can cause harm in terms of generating recipe, knowledge to make any materials/substances is your own input and responsibility. You will be accountable for any harm/damage caused by your action/input.
Content promoting self-harm or suicide.
Generation of material that is illegal in your jurisdiction, or that targets real individuals for harassment, doxxing, or fraud.
Any use prohibited by the upstream Z.AI / GLM MIT license.

You are responsible for adding appropriate safety filtering, human review, and access controls for your deployment. The weights are provided as-is, with no warranty. The license is inherited from the upstream Z.AI GLM-5.3-Flash MIT license — review and comply with it before use or redistribution.

keys-Mac-oMLX-0.6.3.2RC-Dual-ANE-GLM-5.3-Flash-Abliterated-oQ4

Abliterated Vontra GLM-5.3-Flash MLX oQ4 for Mac Studio oMLX 0.6.3rc2 Dual-ANE. Same Dealign o_proj L15–45 transplant as the Spark NVFP4 pack — L0–14 stay stock, MTP included.

See RESPONSIBLE_USE.md and the gate form above. Access is gated with automatic approval after you agree.


HF (these weights)	https://huggingface.co/drowzeys/keys-Mac-oMLX-0.6.3.2RC-Dual-ANE-GLM-5.3-Flash-Abliterated-oQ4
GitHub (oMLX Dual-ANE recipe)	https://github.com/drowzeys/keys-Mac-oMLX-0.6.3.2RC-Dual-ANE-GLM-5.3-Flash-Abliterated-oQ4
Spark NVFP4 cousin (same ablit)	HF · GitHub
Stock oQ4 parent	`Vontra/GLM-5.3-Flash-MLX-oQ4-MTP`
Ablit source (`o_proj` L15–45)	`dealignai/GLM-5.3-Flash-UNCENSORED-NVFP4`
Upstream	`zai-org/GLM-5.3-Flash`
Ablit	L15–45 `self_attn.o_proj` as BF16 (31 tensors, includes MTP) · L0–14 affine oQ4 stock
Gate	32/32 bypass, 0 refuse, 0 garble
Decode (M3 Ultra 256 GB, oMLX 0.6.3rc2)	~24 tok/s (192-token gens 22.7–25.0; 128-token 23.4 / 23.9). Stock oQ4 on the same box: 26.4 tok/s.

These weights have safety refusals removed. Research / red-team only — you supply the guardrails.

What changed vs Vontra oQ4

Blackfrost-style rank-1 projection + affine requant stayed at 19/32 on this quant. The Spark 32/32 dest is a byte-copy of Dealign o_proj. On MLX we do not requantize those tensors: they land as BF16 nn.Linear weights (model-ablit-oproj-l15-45.safetensors). Experts, vision, QKV, and L0–14 o_proj stay Vontra affine oQ4.

One-shot (Mac Studio)

git clone https://github.com/drowzeys/keys-Mac-oMLX-0.6.3.2RC-Dual-ANE-GLM-5.3-Flash-Abliterated-oQ4.git
cd keys-Mac-oMLX-0.6.3.2RC-Dual-ANE-GLM-5.3-Flash-Abliterated-oQ4
# Hugging Face gate: agree on the model card, then `hf auth login`
bash oneshot-setup.sh
omlx serve --model-dir ~/.omlx/models --host 0.0.0.0 --port 11500

Serve id: glm53-flash-oq4-mtp-ablit-l15-45. Dual-ANE tile 4096, Lightning MTP on, thinking off.

Credits

Cite the original authors first.

Who	What we used
Z.ai	Upstream GLM-5.3-Flash
Vontra	Mac oQ4 body; L0–14 `o_proj`, experts, vision stay theirs
dealignai (compute: Jordan Schenck)	BF16 `o_proj` L15–45 + MTP that reaches 32/32
jundot	oMLX, oQ, Lightning MTP, Dual-ANE
onthehub97	Dual-ANE/GPU prompt processing
Blaizzy	day-0 glm5_next in mlx-vlm
PipeNetwork	ClampedSwiGLU / Mac glm5_next runtime
ml-explore	MLX
Blackfrost	Direction reference; not this checkpoint
LibertAI	Spark NVFP4 layout Dealign `o_proj` was extracted from

Pack: drowzeys / keys. Donate: GoFundMe.

Downloads last month: 102

Safetensors

Model size

321B params

Tensor type

U32

BF16

MLX

Hardware compatibility

4-bit

Model tree for drowzeys/keys-Mac-oMLX-0.6.3.2RC-Dual-ANE-GLM-5.3-Flash-Abliterated-oQ4

Base model

zai-org/GLM-5.3-Flash

Quantized

Vontra/GLM-5.3-Flash-MLX-oQ4-MTP

Finetuned

(2)

this model