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

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

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"}
     ]
   }'

philipjohnbasile commited on 13 days ago

Commit

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@@ -76,12 +76,16 @@ A third option (from the research): **TIES/DARE-merge** soul + code into one ada
 ## 5. The adapter library
 | Adapter | Contents | Status |
 |---|---|---|
-| `adapters-soul2` | core soul — design · dataviz · prose · math · research · architecture · security · science · perfumery (250 masters-gold) | **shipped** |
 | `adapters-soul` | the v1 soul (43 gold) | shipped (superseded) |
-| `fullstack / AI-eng / DS-ML` | RAG · agents · MLOps · deep-learning · classical-ML · data-eng · web · devops/test | gold built → healing |
-| `game/app` | Unreal · Unity · Godot · Flutter · patterns · shaders · netcode | gold built → healing |
-| `legacy` | COBOL · enterprise-Java · PHP · Perl/VB — classic **and** modern (Java 21 · PHP 8.4 · .NET 8 · COBOL-on-K8s) | gold built → healing |
-| `security-pro` | red-team · pentest · CTF (purple — each technique + its detection/hardening) | gold built → healing |
-Each "gold built → healing" entry is ~7–60 examples already generated under `heal/gold_*/`, waiting on
-GPU-serial heals. The base + `adapters-soul2` is the part that runs **today**.

 ## 5. The adapter library
 | Adapter | Contents | Status |
 |---|---|---|
+| `adapters-soul2` | core soul v2 — design · dataviz · prose · math · research · architecture · security · code (250 masters-gold) | **shipped ✓** |
+| `adapters-soul-v3` | core soul v3 — soul2 **+ science · perfumery · deep-security · red-team/pentest · self-swap router** (358 gold) | **healing** |
+| `adapters-fullstack` | AI-eng/DS-ML code — RAG · agents · MLOps · deep-learning · classical-ML · data-eng · web · devops/test (60) | queued |
+| `adapters-gamedev` | game/app code — Unreal · Unity · Godot · Flutter · patterns · shaders · netcode (47) | queued |
+| `adapters-legacy` | legacy code — COBOL · enterprise-Java · PHP · Perl/VB — classic **and** modern (Java 21 · PHP 8.4 · .NET 8) (51) | queued |
 | `adapters-soul` | the v1 soul (43 gold) | shipped (superseded) |
+The swappable code modules (`fullstack` / `gamedev` / `legacy`) heal **GPU-serial** via `scripts/heal_queue.sh` — an
+autonomous driver that ships each adapter on completion, then launches the next. The base + `adapters-soul2` runs
+**today**; `adapters-soul-v3` is the next always-on core; each code module ships as its heal finishes. Each adapter is
+self-contained (Pattern A): the proven soul base + that module's specialty gold. *Known limitation:* the 3-bit base
+degenerates on very long single generations (the masters-gold is elite; the model just can't re-spin long output) —
+the real fix is saliency-dynamic quant (protect the salient/early experts at 4-bit+), tracked separately.