Text Generation
MLX
Safetensors
English
glm_moe_dsa
apple-silicon
Mixture of Experts
pruned
quantized
soul-targeted
agentic
local-agent
glm
conversational
Eval Results (legacy)
4-bit precision
Instructions to use philipjohnbasile/GLM-5.2-Demolition-q4a4-soul-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use philipjohnbasile/GLM-5.2-Demolition-q4a4-soul-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("philipjohnbasile/GLM-5.2-Demolition-q4a4-soul-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
- Pi
How to use philipjohnbasile/GLM-5.2-Demolition-q4a4-soul-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 "philipjohnbasile/GLM-5.2-Demolition-q4a4-soul-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": "philipjohnbasile/GLM-5.2-Demolition-q4a4-soul-MLX" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use philipjohnbasile/GLM-5.2-Demolition-q4a4-soul-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 "philipjohnbasile/GLM-5.2-Demolition-q4a4-soul-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 philipjohnbasile/GLM-5.2-Demolition-q4a4-soul-MLX
Run Hermes
hermes
- MLX LM
How to use philipjohnbasile/GLM-5.2-Demolition-q4a4-soul-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 "philipjohnbasile/GLM-5.2-Demolition-q4a4-soul-MLX"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "philipjohnbasile/GLM-5.2-Demolition-q4a4-soul-MLX" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "philipjohnbasile/GLM-5.2-Demolition-q4a4-soul-MLX", "messages": [ {"role": "user", "content": "Hello"} ] }'
Upload design/design_canon.py with huggingface_hub
Browse files- design/design_canon.py +3 -1
design/design_canon.py
CHANGED
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@@ -69,6 +69,7 @@ def _grid_ok(v: float) -> bool:
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def audit_design(css: str):
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"""Eliteness violations ([] = elite): OKLCH-only, 8px-grid, type-scale, AND bespoke (no cookie-cutter frameworks)."""
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v = []
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bad = _BANNED_COLOR.findall(css)
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if bad:
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@@ -109,7 +110,8 @@ def _selftest():
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assert gv == [], gv # bespoke gold stays clean (no false-positive)
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assert len(bv) == 3, bv
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assert "Bootstrap" in boot and any("Tailwind" in t for t in tw), (boot, tw)
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if __name__ == "__main__":
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def audit_design(css: str):
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"""Eliteness violations ([] = elite): OKLCH-only, 8px-grid, type-scale, AND bespoke (no cookie-cutter frameworks)."""
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css = re.sub(r"/\*.*?\*/|<!--.*?-->", "", css, flags=re.S) # ignore comments: hex/framework names in comments aren't usage
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v = []
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bad = _BANNED_COLOR.findall(css)
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if bad:
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assert gv == [], gv # bespoke gold stays clean (no false-positive)
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assert len(bv) == 3, bv
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assert "Bootstrap" in boot and any("Tailwind" in t for t in tw), (boot, tw)
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assert audit_design("/* fallback #ffffff */ .x{color:oklch(0.2 0.02 250); padding:16px}") == [], "hex-in-comment false-positive"
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print(" design_canon selftest PASS — gates OKLCH/grid/scale + BESPOKE, comment-robust (hex/framework in comments ≠ usage)")
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if __name__ == "__main__":
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