Instructions to use Akicou/INTELLECT-3-REAP-50-heretic-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Akicou/INTELLECT-3-REAP-50-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 Akicou/INTELLECT-3-REAP-50-heretic-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf Akicou/INTELLECT-3-REAP-50-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 Akicou/INTELLECT-3-REAP-50-heretic-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf Akicou/INTELLECT-3-REAP-50-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 Akicou/INTELLECT-3-REAP-50-heretic-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Akicou/INTELLECT-3-REAP-50-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 Akicou/INTELLECT-3-REAP-50-heretic-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Akicou/INTELLECT-3-REAP-50-heretic-GGUF:Q4_K_M
Use Docker
docker model run hf.co/Akicou/INTELLECT-3-REAP-50-heretic-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use Akicou/INTELLECT-3-REAP-50-heretic-GGUF with Ollama:
ollama run hf.co/Akicou/INTELLECT-3-REAP-50-heretic-GGUF:Q4_K_M
- Unsloth Desktop
- Pi
How to use Akicou/INTELLECT-3-REAP-50-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 Akicou/INTELLECT-3-REAP-50-heretic-GGUF:Q4_K_M
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "Akicou/INTELLECT-3-REAP-50-heretic-GGUF:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use Akicou/INTELLECT-3-REAP-50-heretic-GGUF with Docker Model Runner:
docker model run hf.co/Akicou/INTELLECT-3-REAP-50-heretic-GGUF:Q4_K_M
- Lemonade
How to use Akicou/INTELLECT-3-REAP-50-heretic-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Akicou/INTELLECT-3-REAP-50-heretic-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.INTELLECT-3-REAP-50-heretic-GGUF-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use Akicou/INTELLECT-3-REAP-50-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 Akicou/INTELLECT-3-REAP-50-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 Akicou/INTELLECT-3-REAP-50-heretic-GGUF:Q4_K_M
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use Akicou/INTELLECT-3-REAP-50-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 Akicou/INTELLECT-3-REAP-50-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 "Akicou/INTELLECT-3-REAP-50-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"
Disclaimer
Do not download this model as there seems to be a missing tensor: "blk.46.attn_norm.weigh"
INTELLECT-3-REAP-50-heretic-GGUF
This model was converted to GGUF format from jtl11/INTELLECT-3-REAP-50-heretic using GGUF Forge.
Quants
The following quants are available: Q4_K_S, Q4_K_M, Q5_0, Q5_K_M, Q5_K_S, Q6_K, Q8_0
Conversion Stats
| Metric | Value |
|---|---|
| Job ID | 1a111945-aa42-4b90-b875-c486edc7f57d |
| GGUF Forge Version | v4.8 |
| Total Time | 2.1h |
| Avg Time per Quant | 8.7min |
Step Breakdown
- Download: 14.5min
- FP16 Conversion: 7.0min
- Quantization: 1.7h
🚀 Convert Your Own Models
Want to convert more models to GGUF?
👉 gguforge.com — Free hosted GGUF conversion service. Login with HuggingFace and request conversions instantly!
Links
- 🌐 Free Hosted Service: gguforge.com
- 🛠️ Self-host GGUF Forge: GitHub
- 📦 llama.cpp (quantization engine): GitHub
- 💬 Community & Support: Discord
Converted automatically by GGUF Forge v4.8
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Model tree for Akicou/INTELLECT-3-REAP-50-heretic-GGUF
Base model
zai-org/GLM-4.5-Air-Base