Instructions to use TanyaaDL/GLM-4.7-heretic-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TanyaaDL/GLM-4.7-heretic-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="TanyaaDL/GLM-4.7-heretic-GGUF",
	filename="GLM-4.7-heretic-IQ3_M-00001-of-00004.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use TanyaaDL/GLM-4.7-heretic-GGUF with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf TanyaaDL/GLM-4.7-heretic-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf TanyaaDL/GLM-4.7-heretic-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf TanyaaDL/GLM-4.7-heretic-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf TanyaaDL/GLM-4.7-heretic-GGUF:Q4_K_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf TanyaaDL/GLM-4.7-heretic-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf TanyaaDL/GLM-4.7-heretic-GGUF:Q4_K_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf TanyaaDL/GLM-4.7-heretic-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf TanyaaDL/GLM-4.7-heretic-GGUF:Q4_K_M

Use Docker

docker model run hf.co/TanyaaDL/GLM-4.7-heretic-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use TanyaaDL/GLM-4.7-heretic-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "TanyaaDL/GLM-4.7-heretic-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "TanyaaDL/GLM-4.7-heretic-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/TanyaaDL/GLM-4.7-heretic-GGUF:Q4_K_M

Ollama
How to use TanyaaDL/GLM-4.7-heretic-GGUF with Ollama:
```
ollama run hf.co/TanyaaDL/GLM-4.7-heretic-GGUF:Q4_K_M
```

Unsloth Studio

How to use TanyaaDL/GLM-4.7-heretic-GGUF with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for TanyaaDL/GLM-4.7-heretic-GGUF to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for TanyaaDL/GLM-4.7-heretic-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for TanyaaDL/GLM-4.7-heretic-GGUF to start chatting

How to use TanyaaDL/GLM-4.7-heretic-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf TanyaaDL/GLM-4.7-heretic-GGUF:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "TanyaaDL/GLM-4.7-heretic-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use TanyaaDL/GLM-4.7-heretic-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf TanyaaDL/GLM-4.7-heretic-GGUF:Q4_K_M

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 TanyaaDL/GLM-4.7-heretic-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat new

OpenClaw new

How to use TanyaaDL/GLM-4.7-heretic-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf TanyaaDL/GLM-4.7-heretic-GGUF:Q4_K_M

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 "TanyaaDL/GLM-4.7-heretic-GGUF:Q4_K_M" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

Docker Model Runner
How to use TanyaaDL/GLM-4.7-heretic-GGUF with Docker Model Runner:
```
docker model run hf.co/TanyaaDL/GLM-4.7-heretic-GGUF:Q4_K_M
```

Lemonade

How to use TanyaaDL/GLM-4.7-heretic-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull TanyaaDL/GLM-4.7-heretic-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.GLM-4.7-heretic-GGUF-Q4_K_M

List all available models

lemonade list

GLM-4.7-heretic-GGUF (RadicalNotion)

Importance-matrix quantized GGUF versions of RadicalNotionAI/GLM-4.7-heretic.

This is a strongly abliterated / decensored version of Z.ai's GLM-4.7. It achieves 0/100 refusals while retaining strong coding, reasoning, and agentic capabilities.

Note: This version has a noticeably lower refusal rate than the previous jarradh/GLM-4.7-heretic based quants (which had ~4/100 refusals), at the cost of slightly higher KL divergence.

Abliteration Details (from source model)

Method: Heretic v1.2.0+custom (per-layer abliteration)
Refusals: 0/100 (vs ~99/100 on the original zai-org/GLM-4.7)
KL Divergence: 0.0748

Quantizations

Quantized with llama.cpp using importance matrices (imatrix) for better quality at lower bitrates.

Currently available:

IQ3_M (imatrix)
IQ4_XS (imatrix)
Q8_0

Model Details

Base Model: zai-org/GLM-4.7 (MIT)
Abliterated by: RadicalNotionAI
Architecture: glm4_moe (Mixture-of-Experts)
Parameters: ~353–358B total / ~32B active
Context Length: 200K+
Thinking Support: Yes — supports interleaved/preserved thinking via <think> tags

Usage with llama.cpp

Important: You must use the --jinja flag. This enables the correct chat template that properly handles thinking blocks and tool calling.

Interactive Chat

./llama-cli \
  -m GLM-4.7-heretic.IQ4_XS.gguf \
  --jinja \
  -c 32768 \
  -ngl 99 \
  --temp 0.7 \
  --top-p 0.95

Server Mode (OpenAI-compatible API)

./llama-server \
  -m GLM-4.7-heretic.IQ4_XS.gguf \
  --jinja \
  --port 8080 \
  -ngl 99 \
  -c 32768

Tips for Thinking Mode:

The model thinks by default.
To see the internal <think> reasoning, you can add the --special flag in some setups.
In compatible servers you can control thinking with chat_template_kwargs (e.g. enable_thinking).

Disclaimer

This is an uncensored model. Safety alignments have been removed via abliteration. It may generate content that some users find offensive or inappropriate. Use responsibly and at your own risk.

Downloads last month: 617

GGUF

Model size

353B params

Architecture

glm4moe

Hardware compatibility

3-bit

4-bit

8-bit

View +1 variant

Model tree for TanyaaDL/GLM-4.7-heretic-GGUF

Base model

RadicalNotionAI/GLM-4.7-heretic

Quantized

(1)

this model

TanyaaDL
/

GLM-4.7-heretic-GGUF

GLM-4.7-heretic-GGUF (RadicalNotion)

Abliteration Details (from source model)

Quantizations

Model Details

Usage with llama.cpp

Interactive Chat

Server Mode (OpenAI-compatible API)

Links

Disclaimer

Model tree for TanyaaDL/GLM-4.7-heretic-GGUF